Reliable Application Modernization Company

Why Angular? JSF is a server-side framework for building the front end of Java-based web applications. Angular is a client-side framework by default for building user interfaces of web applications with any backend including Java. Moreover, with tools such as Angular Universal, you can make Angular work as a server-side UI framework. Angular is a widely-used framework and platform for building Single Page Applications (SPAs), developed and supported by Google. SPA web applications don't reload for each user's click. That's why such apps get positive user feedback and became mainstream in web building. “JSF has an overhead on the server side compared to JS frameworks like Angular. JSF needs to create a ViewRoot for each request for rendering, executing ajax events, and so on. That's much more CPU usage on the server side. I would always build web applications with JSF but nothing social, which expects millions of users a day. It better fits something like intranet, enterprise, backend applications” , states Thomas Andraschko, PrimeFaces Core Developer (25 Feb 2021). Is JSF obsoleted? The last "relevant" tutorial at Youtube on JSF was released years ago... Numerous complaints about JSF are mostly related to old versions and some of them are now outdated. However, companies may still use JSF 1.0, first realized 15 years ago (or, at best, JSF 2.0) with a lot of ad-hoc programming. As Arjan Tijms, a project lead for JSF,  stated in his article on Oracle blog “Java for the enterprise: What to expect in Jakarta EE 10”: The next version of JSF will be JSF 4.0. Its own major theme will be removing legacy functionality that has already been deprecated. Plus, legacy features that haven’t been deprecated before will be deprecated and likely removed in a future release. Support for Jakarta Server Pages (JSP) as a view declaration language will be removed as well. As for bigger features, a prototype is currently in the works to add a simple REST lifecycle to JSF. This is not intended as a full-featured REST framework. In this regard, migration is absolutely necessary whether it will be to a newer JSF version or to another UI framework for Java web applications. The question is when to do this: if not today, it may be more costly to make it tomorrow if you plan to improve your software application.  betterprojectsfaster.com/guide/java-full-stack-report-2022-12/fe-web/ Ihatejsf.com, a platform to share the frustrations with using JSF.

What on Earth is ERP ‘Enterprise resource planning (ERP) systems are designed to address the problem of fragmentation of information or “islands of information" in business organizations.’ International Journal of Operations & Production Management ERP (Enterprise Resource Planning) is a software suite that automates and decreases the manual labor. It allows your company to perform in a cost-effective manner. ERP systems include a set of software modules, which manage the information for a separate business function or a group of those. It connects departments to one internal database and centralizes all the information. The database in turn exchanges data flow with the modules. For example, every month we have to inform the payroll office how much has each worker done. Employees should concentrate on their direct duties. By means of ERP automatization we minimize their involvement to the task and its tracked implementation. ‘I don’t see how any company can do effective supply chain management without ERP.’ ERP - Making It Happen To see the whole picture of what can be done by Enterprise Resource Planning alone, enjoy the graph: Source: Panorama report on ERP systems and Enterprise software So, make a step forward and simplify the process by implementing ERP systems: ERP analyzes the functional side of your enterprise and along the way automates and/or removes the irrelevant business functions. Each department has its own unique software that automates simple processes. Simplified working process. The info is already in the database, ready to be used. That will make the information exchange between the inner systems simpler and more robust. The modules have an access to each other’s outputs, while reduced time and effort consumption please the eye. Increased performance and stable implementation These make all segments of the company system fruitful; removes the spots of possible mistakes (e.g. human factor) and saves a great deal of time. Source: Panorama report on ERP systems and Enterprise software So, the main reason why people involve so much effort and money into the software of ERP is the need for constant improvement. The enhanced performance will push business processes increasing the efficiency and drawing customers’ attention. Visually, the influence of ERP systems looks like that: Source: Panorama report on ERP systems and Enterprise software Cloud-based ERP Today, a number of modern companies prefer this type of ERP. And BelItSoft isn’t an exception. However, because the security here is still questionable, some would prefer to have their data behind the walls. People still are suspicious of the Clouds. According to the Panorama report, 72% of respondents were frightened of the possible risks of data loss, and 12% of a possible security breach. Pros: Fast and easy data sharing+the access is seamless and handy. Saves money (no need in servicing and specific equipment) Good choice for small companies that are looking to start without going into too much technical aspects of setting their own hosting Cons: Deprives a full control over the data (hosting-provider is the one responsible for stable work and data integrity) Data security is in the hands of the vendor Still expensive: the price of VM in the Cloud is higher than in the local data-center On-premise ERP On-premise hosting means using your own resources for the software deployment (you need your equipment to make it work). However, you may also use VPS (Virtual Private Server) or VDS (Virtual Dedicated Server). As my interlocutor noticed, “To keep the machine working you need to hire people that could manage fixing whenever it breaks. Moreover, the space taken is also a reason to think your choice over". So, to make sure nothing will spoil “the moment of truth", the on-premise ERP holder should think of: Pros: Maximum security for your corporate data Full control 24/7 (physical access to any data on the server) Excellent for large and mid-sized enterprises which have a data control and safety in the first place Cons: Additional expenses (hiring specialists for servicing the equipment, space, safety, electricity) Complexities with data access for the distant branches OPEX (operating expenditure) is more profitable than CAPEX (capital exp.) you have buying facilities Ready-to-go vs ERP from the scratch. Budget decision Today you can purchase everything effortlessly. You may choose the way of the least resistance and check out what ERP software has been developed years ago and is still relevant. Source: https://selecthub.com/erp-software/ ‘However, we can’t say that the purchased product is the cure that works straight away. There are always things to change that make developers remove lots of discrepancies. It also happens that some existing modules that are not necessary anymore may be eliminated.’ Dmitry Garbar So, before the implementation, developers have to straighten everything up, adjust and test the results - to make sure the work is done the way you’ve expected. ‘I've never come across ready-to-use ERP software that fits a client perfectly. Often, they're not entirely willing to change their business processes to fit the ERP product. There's always room for the idea of a customized ERP solution.’ Dmitry Garbar Let’s sum up the information. The advantages of the ready-to-go ERP are: Short-term savings (by avoiding high costs associated with customization). Faster implementation Stable knowledge support (lots of outside experts on the software who can provide long-term training and advice) Software Sophistication (few bugs, industry-specific solutions and extensive elaboration) And the disadvantages are the following: The need for adjustments and additional development May be difficult to customize it to your processes You have less control over the product (software vendor holds the rights to the code) Developing ERP system from scratch. Some entrepreneurs may find it much more difficult to wisely develop an ERP core that holds their systems together. Firstly, you need to analyze what and how do people do their job in each department. “Each role that is performed in the company is under the question of automatization", Garbar said. “So to get the ball rolling, business analytics (BA) have a chat with every employee in the company to understand the mechanics better". And after the picture of company’s “back-end" has been drawn, we are ready to discuss the time frame, costs, individual desires, and suggestions. Source: ERP - Making It Happen. The overall process builds a totally unique architecture that is capable to adapt to the further changes in the company’s work. However, that coin has two sides. Pros: You get a unique software tailored to the specific nature of your business You have a full control over the software code You save money on the long-term prospects Intellectual property rights to the ERP increase company valuation. Cons: Long development time High costs compared to off-the-shelf solution May become obsolete by the time of implementation The costs and time frames Source: Panorama report on ERP systems and Enterprise software The final cost for the software is always formed individually and depends on the range of factors. Speaking of ERP system developing, the price includes: Company size (the number of employees, branches, locations and so on) The industry of the business Solution (industry-specific and customized, or general and flexible) Resources required (external consulting, user training, task tracking, etc.) Specific requirements For instance, if you expect to see a sophisticated custom ERP system, you may not find complete designs and architecture that will fully satisfy your desires. In such cases, the implementation may require heavy customization and third-party add-ons, which will increase the costs. But even if the price was named, it can’t be steady when push comes to the software expected to support your business for decades: Source: Panorama report on ERP systems and Enterprise software In numbers, USA companies charge from $10K up to $10 million and more: Small businesses: $10K - $150K Mid-sized: $150K - $500K Large enterprises: $1 million - $10+ million ‘Considering Belitsoft, it’s difficult to name even the average price we offer. The projects we are involved into are diversive and usually require a wide spectrum of services: from the company size and technology team to personal wishes and preferable time frames.’ Dmitry Garbar At Belitsoft, the effort on the project varies from 2000 hours to 96 man-months. And a plethora of those that need ongoing support and constant improvements. The question that doubts is shall the project pay off? Well, let’s see: Source: Panorama report on ERP systems and Enterprise software Time. If only “as fast as you can" would be taken literally and fulfilled right away. But in the real IT world all we have is to nod hearing 25, 32, 48+ months from the developer. But what takes them so long? Size. Same as with the costs. The size of your company, the amount of employees, and many other factors influence the time spent on analysis, chosen technology, the type of data storage etc. The industry you are operating in Types of ERP. The time needed for the final implementation of purchased and adjusted ERP on the Cloud differs from the on-premise solution tailored directly for the business you run. Personal desires. Any additional functions you want to see in the final product need extra time for development and adoption Respect the deadlines. Not many IT companies may boast for their accurate relationship with deadlines and set time-frames. According to the 2017 report, project duration was over scheduled by 59% in total: Source: Panorama report on ERP systems and Enterprise software Just face the fact that such a giant as Enterprise Resource Planning solutions can’t be developed in a day. It needs a constant updating and support, as an ordinary child does. Consider ERP as a life-time project that has a huge impact on everything you love. The best technologies for ERP implementation Source: https://www.cuba-platform.com/ The choice of technology arises from the size of a company you run. At Belitsoft, we provide PHP solutions for small and mid-sized businesses, and Java or .NET solutions for larger companies. If your project specifically requires Java expertise, you also have the option to hire dedicated Java developers from our skilled team. hire dedicated java developers Developing a desktop application for a Football Federation we’ve chosen .NET - as a prevalent technology - accompanied by C# and PHP. Creation of the ERP system for Granite Industry vendors involved Laravel, HTML and PHP. Angular JS coupled with .NET is a good replacement for Java to build financial software ‘One independent company carried out the technical audit of the project we were going to engage in. The focus was on specifications and architecture. In the end, they acknowledged only Java and .NET as the most secured technologies.’ As a programming language, Java shows itself as a perfect tool in finance and enterprise development. Amongst its advantages, the most substantial one is versatility. Java is essentially reliable and proven partner when it comes to the building software castles, skyscrapers and highway bridges. However, no one stops mid-sized companies to choose Java as well. It is a balanced language with well-oiled filling for the diverse purposes. Conclusion Two words: simplification and automation. Enterprise Resource Planning systems: Is a complex process that requires a distant understanding of the target. Requires re-orienting and teaching staff to work within a totally new environment. Transforms your enterprise into a computerized structural body managed by a set of software. modules covering the entire business. Provides the techniques accompanied by effective forecasting, planning, and scheduling processes. Makes the data exchange between modules much easier and more systematic. Helps to avoid repeated data entering. Automates business functions so that business processes go flawlessly.

Belitsoft is a team of Azure migration and modernization experts with a proven track record and portfolio of projects to show for it. We offer comprehensive application modernization services, which include workload analysis, compatibility checks, and the creation of a sound migration strategy. Further, we will take all the necessary steps to ensure your successful transition to Azure cloud. Planning your migration to Azure is an important process as it involves choosing whether to rehost, refactor, rearchitect, or rebuild your applications. A laid-out Azure migration strategy helps put these decisions in perspective. Read on to find our step-by-step guide for the cloud migration process, plus a breakdown of key migration models. An investment in on-premises hosting and data centers can be a waste of money nowadays, because cloud technologies provide significant advantages, such as usage-based pricing and the capacity to easily scale up and down. In addition, your downtime risks will be near-zero in comparison with on-premises infrastructure. Migration to the cloud from the on-premises model requires time, so the earlier you start, the better. Dmitry Baraishuk Chief Innovation Officer at Belitsoft on Forbes.com Cloud Migration Process to Microsoft Azure We would like to share our recommended approach for migrating applications and workloads to Azure. It is based on Microsoft's guidelines and outlines the key steps of the Azure Migration process. 1. Strategize and plan your migration process The first thing you need to do to lay out a sound migration strategy is to identify and organize discussions among the key business stakeholders. They will need to document precise business outcomes expected from the migration process. The team is also required to understand and discover the underlying technical aspects of cloud adoption and factor them into the documented strategy. Next, you will need to come up with a strategic plan that will prioritize your goals and objectives and serve as a practical guide for cloud adoption. It begins with translating strategy into more tangible aspects like choosing which applications and workloads have higher priority for migration. You move on deeper into business and technical elements and document them into a plan used to forecast, budget, and implement your Azure migration strategy. In the end, you'll be able to calculate your total cost of ownership with Azure’s TCO calculator which is a handy tool for planning your savings and expenses for your migration project. 2. Evaluate workloads and prepare for migration After creating the migration plan you will need to assess your environment and categorize all of your servers, virtual machines, and application dependencies. You will need to look at such key components of your infrastructure as: Virtual Networks: Analyze your existing workloads for performance, security, and stability and make sure you match these metrics with equivalent resources in Azure cloud. This way you can have the same experience as with the on-premise data center. Evaluate whether you will need to run your own DNS via Active Directory and which parts of your application will require subnets. Storage Capacity: Select the right Azure storage services to support the required number of operations per second for virtual machines with intensive I/O workloads. You can prioritize usage based on the nature of the data and how often users access it. Rarely accessed (cold data) could be placed in slow storage solutions. Computing resources: Analyze how you can win by migrating to flexible Azure Virtual Machines. With Azure, you are no longer limited by your physical server’s capabilities and can dynamically scale your applications along with shifting performance requirements. Azure Autoscale service allows you to automatically distribute resources based on metrics and keeps you from wasting money on redundant computing power. To make life easier, Azure has created tools to streamline the assessment process: Azure Migrate is Microsoft’s current recommended solution and is an end-to-end tool that you can use to assess and migrate servers, virtual machines, infrastructure, applications, and data to Azure. It can be a bit overwhelming and requires you to transfer your data to Azure’s servers. Microsoft Assessment and Planning (MAP) toolkit can be a lighter solution for people who are just at the start of their cloud migration journey. It needs to be installed and stores data on-premise but is much simpler and gives a great picture of server compatibility with Azure and the required Azure VM sizes. Virtual Machine Readiness Assessment tool Is another great tool that guides the user all the way through the assessment with a series of questions. Besides the questions, it also provides additional information with regard to the question. In the end, it gives you a checklist for moving to the cloud. Create your migration landing zone. As a final step, before you move on to the migration process you need to prepare your Azure environment by creating a landing zone. A landing zone is a collection of cloud services used for hosting, operating, and governing workloads migrated to the cloud. Think of it as a blueprint for your future cloud setup which you can further scale to your requirements. 3. Migrate your applications to Azure Cloud  First of all, you can simply replace some of your applications with SaaS products hosted by Azure. For instance, you can move your email and communication-related workloads to Office 365 (Microsoft 365). Document management solutions can be replaced with Sharepoint. Finally, messaging, voice, and video-shared communications can step over to Microsoft Teams. For other workloads that are irreplaceable and need to be moved to the cloud, we recommend an iterative approach. Luckily, we can take advantage of Azure hybrid cloud solutions so there’s no need for a rapid transition to the cloud. Here are some tips for migrating to Azure: Start with a proof of concept: Choose a few applications that would be easiest to migrate, then conduct data migration testing on your migration plan and document your progress. Identifying any potential issues at an early stage is critical, as it allows you to fine-tune your strategy before proceeding. Collect insights and apply them when you move on to more complex workloads. Top choices for the first move include basic web apps and portals. Advance with more challenging workloads: Use the insights from the previous step to migrate workloads with a high business impact. These are often apps that record business transactions with high processing rates. They also include strongly regulated workloads. Approach most difficult applications last: These are high-value asset applications that support all business operations. They are usually not easily replaced or modernized, so they require a special approach, or in most cases - complete redesign and development. 4. Optimize performance in Azure cloud After you have successfully migrated your solutions to Azure, the next step is to look for ways to optimize their performance in the cloud. This includes revisions of the app’s design, tweaking chosen Azure services, configuring infrastructure, and managing subscription costs. This step also includes possible modifications when after you’ve rehosted your application, you decide to refactor and make it more compatible with the cloud. You may even want to completely rearchitect the solution with Azure cloud services. Besides this, some vital optimizations include: Monitoring resource usage and performance with tools like Azure Monitor and Azure Traffic Manager and providing an appropriate response to critical issues. Data protection using measures such as disaster recovery, encryption, and data back-ups. Maintaining high security standards by applying centralized security policies, eliminating exposure to threats with antivirus and malware protection, and responding to attacks using event management. Azure migration strategies The strategies for migrating to the Azure cloud depend on how much you are willing to modernize your applications. You can choose to rehost, refactor, rearchitect, or rebuild apps based on your business needs and goals. 1. Rehost or Lift and Shift strategy Rehosting means moving applications from on-premise to the cloud without any code or architecture design changes. This type of migration fits apps that need to be quickly moved to the cloud, as well as legacy software that supports key business operations. Choose this method if you don’t have much time to modernize your workload and plan on making the big changes after moving to the cloud. Advantages: Speedy migration with no risk of bugs and breakdown issues. Disadvantages: Azure cloud service usage may be limited by compatibility issues. 2. Refactor or repackaging strategy During refactoring, slight changes are made to the application so that it becomes more compatible with cloud infrastructure. This can be done if you want to avoid maintenance challenges and would like to take advantage of services like Azure SQL Managed Instance, Azure App Service, or Azure Kubernetes Service. Advantages: It’s a lot faster and easier than a complete redesign of architecture, allows to improve the application’s performance in the cloud, and to take advantage of advanced DevOps automation tools. Disadvantages: Less efficient than moving to improved design patterns like the transition to microservices from monolith architecture. 3. Rearchitect strategy Some legacy software may not be compatible with the Azure cloud environment. In this case, the application needs a complete redesign to a cloud-native architecture. It often involves migrating to microservices from the monolith and moving relational and nonrelational databases to a managed cloud storage solution. Advantages: Applications leverage the full power of Azure cloud with high performance, scalability, and flexibility. Disadvantages: Migrating may be tricky and pose challenges, including issues in the early stages like breakdowns and service disruptions. 4. Rebuild strategy The rebuild strategy takes things even further and involves taking apart the old application and developing a new one from scratch using Azure Platform as a service (PaaS) services. It allows taking advantage of cloud-native technologies like Azure Containers, Functions and Logic Apps to create the application layer and Azure SQL Database for the data tier. A cloud-native approach gives you complete freedom to use Azure’s extensive catalog of products to optimize your application’s performance. Advantages: Allows for business innovation by leveraging AI, blockchain, and IoT technologies. Disadvantages: A fully cloud-native approach may pose some limitations in features and functionality as compared to custom-built applications. Each modernization approach has pros and cons as well as different costs, risks and time frames. That is the essence of the risk-return principle, and you have to balance between less effort and risks but more value and outputs. The challenge is that as a business owner, especially without tech expertise, you don't know how to modernize legacy applications. Who's creating a modernization plan? Who's executing this plan? How do you find staff with the necessary experience or choose the right external partner? How much does legacy software modernization cost? Conducting business and technical audits helps you find your modernization path. Dmitry Baraishuk Chief Innovation Officer at Belitsoft on Forbes.com Professional support for your Azure migration Every migration process is unique and requires a personal approach. It is never a one-way street and there are a lot of nuances and challenges on the path to cloud adoption. Often, having an experienced migration partner can seriously simplify and accelerate your Azure cloud migration journey.

Unexpected high costs post-migration challenge To mitigate the risk of unexpected cost increases after moving to the cloud, our team employs the following strategies: ✅ Smart budget planning. To manage and predict these costs, we use tools like the Azure Pricing Calculator and AWS Pricing Calculator. We meticulously consider all important cost factors such as resource types, size, features, services, scalability, backup and recovery options. This way, you can anticipate and limit cloud costs. ✅ Cloud-native cost control methods. We professionally configure the auto de-provisioning feature, that turns off resources when they are no longer needed, and elastic pools, the set of resources like CPU, memory, and storage that automatically adjust resources based on actual demand. These methods help prevent overpaying. While cloud providers offer these tools, effective cost management requires expertise of specialized third-party or in-house professionals. They can help you select resources, integrate with existing systems, and enhance them regularly to optimize cost control. Challenge of uncontrolled cloud spending due to poor access management In some on-premises scenarios, especially in smaller organizations with fewer than 500 employees, in-house developers often have sysadmin-level privileges. This means they have almost unlimited control over the system, including the ability to delete databases. The financial implications of this are generally limited to the existing infrastructure in on-premises setups. In cloud computing these control issues present more significant challenges, where costs directly correlate with usage. Developers with extensive cloud privileges can unintentionally activate expensive features, leading to uncontrolled spending. ✅ Strict role-based access. This ensures only authorized personnel have specific data access, reducing the risk of unplanned expenses. Using systems to track who accesses what data and when provides oversight and helps in maintaining control over cloud spending and data security. See the full guide on Cloud Security and Compliance for more insights. Sudden costs challenge by making changes in production Organizations accustomed to implementing live changes in on-premises production environments may encounter immediate cost implications when they move to the cloud without modifying their practice. Consider an IT engineer adjusting auto-scaling settings to enhance system responsiveness during peak traffic. Incorrect thresholds can cause the cloud system to deploy more servers than necessary, significantly increasing the monthly bill and straining the budget. Prioritizing data migration testing before deploying the system is key to identifying and addressing cost-related issues early. This testing phase ensures cost-effective cloud modifications. In such cases, we focus on keeping the service available by temporarily increasing resources, even at higher costs. Once the demand returns to normal, it is important to quickly optimize the settings for cost-efficiency. The broad cloud access often granted to developers, particularly those with sysadmin privileges, poses additional risks. Unintended access can trigger expensive cloud features, causing unforeseen costs and uncontrolled spending. Furthermore, allowing the IT department unrestricted ability to make live changes in the cloud can invite operational challenges, including service disruptions from unresolved bugs. ✅ A robust change management process is crucial for cloud migration strategy, requiring review and approval of changes, particularly in production. This process includes thorough impact assessments, with a focus on potential cost implications. Changes should first be tested in development or staging environments. For instance, simulating peak traffic in staging can effectively evaluate auto-scaling responses, identifying any issues before they affect the production environment. Increased cost challenge due to pursuing a swift single-phase migration Many inexperienced IT managers rush their cloud migration, often transferring the entire on-premises setup in one move. This overlooks key differences in cloud architecture, impacting storage and computing needs. Additionally, such a fast migration approach strains the IT team, and the lack of historical data is causing further challenges. This can cause either paying for unnecessary cloud resources (over-provisioning) or not having enough resources to handle the workload (under-provisioning). Both scenarios can lead to avoidable expenses and operational issues. ✅ Progress in application modernization can be achieved with less funding. We recommend incremental migration for complex on-premises applications. This method involves breaking migration projects into smaller chunks that require fewer resources. At the technology stack level, each iteration adds modernized code, gradually reducing the percentage of legacy code until the legacy system is completely modernized. Throughout this process, the system remains fully operational. Cloud migration experts also use time-tested approaches, such as API-first modernization approach, migrating customizations separately from the core app to microservices, or modernizing critical user journeys first – all minimizing risks and costs. Why Belitsoft For your cloud migration project, we provide skilled and experienced cloud migration experts. They are trained to analyze project requirements, assess alternatives, and make the best choices. Here are some of the core responsibilities of our cloud migration experts that are pivotal to the project's success: assess current data estate, infrastructure, and application(s) to be migrated and, in response, develop a migration plan compare pilot requirements to technical implementation options and recommend a migration strategy to the team deploy the production application with adjustments from earlier migration stages conduct a post-migration analysis with an eye on future enhancements, such as recoverability at a cheaper cost Belitsoft provides external talent to navigate complex technical and management challenges, ensuring a smooth and successful migration of your enterprise applications. Contact us for more details.

Reducing Cloud Costs Before Migration: Building a Budget Companies often face overpayment challenges due to Azure's complex pricing, cloud metric misconception, and lack of expert guidance. A key step in preparing for these intricacies is developing a strategic budgeting plan that sets the foundation for a smooth migration. Key budgeting process focuses on: identifying and optimizing major cost drivers selecting the right hosting region to balance cost with performance choosing cost-effective architectural solutions defining the necessary computing power and storage requirements Addressing these aspects is essential to avoid unnecessary expenses and make informed decisions throughout the Azure cloud migration journey. Planning Cloud Resource Utilization Selecting the Appropriate Service As part of our cloud migration strategy, we conduct a thorough assessment of your current on-premises resources, encompassing databases, integrations, architecture, and application workloads. The goal is to transition these elements to the cloud in a way that maximizes resource efficiency, optimizes performance, and reduces costs post-migration. Consider, for instance, a customer database primarily active during business hours in your current setup. In planning its cloud migration, we assess cloud storage and access patterns, considering them a critical aspect. There are several methods for this, such as using Azure VM running SQL, Azure SQL Database, Managed Instance, or a Synapse pool, each offering unique features. In this scenario, for cost-efficiency, the Azure SQL Database’s serverless option might be the preferred choice. It scales automatically, reducing resources during off-peak times and adjusting to meet demand during busy periods. This decision exemplifies our approach to matching cloud services to usage patterns, balancing flexibility and cost savings. Our detailed pre-migration planning prepares you for a cloud transition that is both efficient and economical. You'll have a clear strategy to effectively manage and optimize cloud resources, leading to a smoother and more budget-friendly migration experience. Calculating necessary computing power and storage to avoid overpayment When migrating to the cloud, it's not a good idea to blindly match the resources 1:1, as it can lead to wasted spending. Why? On-premises setups usually have more capacity than needed for peak usage and future growth, with around 30% CPU utilization. In contrast, cloud environments allow for dynamic scaling, adjusting resources in real time to match current needs and significantly reducing overprovisioning. As a starting point, we aim to run cloud workloads at about 80% utilization to avoid paying for unused resources. Utilizing TCO Calculator for Cost Comparisons To define the optimal thresholds for computing power and storage, we evaluate your workloads, ensuring you only invest in what is necessary to build. There are tools like Database Migration Assistant (DMA), Database Experimentation Assistant (DEA), Azure Migrate, DTU Calculator, and others that can assist in this process. Our cloud migration team uses the Total Cost of Ownership (TCO) Calculator to provide a comprehensive financial comparison between on-premises infrastructure and the Azure cloud. This tool evaluates costs related to servers, licenses, electricity, storage, labor, and data center expenses in your current setup and compares them to the cloud. It helps you understand the financial implications of the move. Accurately Budgeting Your Cloud Resources with Azure Pricing Calculator After gaining a general understanding of potential savings with the TCO Calculator, we employ the Azure Pricing Calculator for a more detailed budget for your cloud resources. This free web-based tool Microsoft that helps estimate the costs of specific Azure services you plan to use. It allows you to adjust configurations, choose different service options, and see how they impact on your overall budget. Selecting the Region for Cloud Hosting When preparing for cloud migration, selecting the right Azure hosting region involves a balanced consideration of latency, and cost. Evaluating Latency Our assessment focuses on the speed of data access for your end-users. Contrary to assumptions, the best region is not always the closest to your company's office but depends on the location of your main user base and data center. For example, if your company is based in Seattle but most users and the data center are in Chicago, a region near Chicago would be more appropriate for faster data access. We use tools like Azurespeed for comprehensive latency tests, prioritizing your users' and data center's location over office proximity. Complexity with multiple user locations: Choosing a single Azure region becomes challenging, with a diverse user base spread across multiple countries. Different user groups may experience varying latency, affecting data transmission speed. In such scenarios, hosting services in multiple Azure regions could be the solution, ensuring all users, regardless of location, enjoy fast access to your services. Strategic planning for multi-region hosting: Operating in multiple regions requires careful planning and data structuring to balance efficiency and costs. This may include replicating data across regions or designing services to connect users to the nearest region for optimal performance. Evaluating Cost Costs for the same Azure services can vary significantly between regions. For instance, running a D4 Azure Virtual Machine in the East US region costs $566.53 per month, while the same setup in the West US region could rise to $589.89. This seemingly small price difference of $23.36 can cause significant extra expenses annually. Let's consider a healthcare enterprise with 20 key departments that requires about 40 VMs for data-intensive apps. If they choose the more expensive region, it could add around $11,212 to their annual costs. So, the decision of which region to choose is not just about picking the lowest cost option. It involves balancing cost with specific operational needs, particularly latency. We aim to guide you in selecting a hosting region that delivers optimal performance while aligning with your budgetary constraints. This will ensure a smooth and cost-effective cloud migration experience for your business. Reducing Cloud Costs Post-Migration Transfer existing licenses If you have existing on-premises Windows and SQL Server licenses, we can help you capitalize on the Azure Hybrid Benefit. This allows you to transfer your existing licenses to the cloud instead of buying new ones. To quantify the savings, Azure provides a specialized calculator. We use this tool to help you understand the financial advantages of transferring your licenses and discover potential cost reductions. Our goal is to ensure you get the most value out of your existing investments when moving to the cloud. For a 4-core Azure SQL Database with Standard Edition, for example, Azure Hybrid Benefit can save you about $292per month, which adds up to $3,507 in savings over a year Continual Architectural Review for Cost Savings After migrating to Azure, it’s vital to review your cloud architecture periodically. Cloud services frequently introduce new, cost-efficient alternatives, presenting opportunities to reduce expenses without compromising on functionality. While it's not recommended to overhaul your architecture for small savings, substantial cost reductions warrant consideration. For instance, let's say you initially set up an Azure virtual machine for SQL Server, but later discover that Azure SQL Database is a more affordable option. By switching early, you can save on costs and minimize disruption. To illustrate, consider a healthcare company that moved its patient data management system to Azure using Azure Virtual Machines. This setup cost them $7,400 per month (10 application server VMs at $500 each and 3 database server VMs at $800 each). However, after implementing Azure Kubernetes Service (AKS) and Azure SQL Database Managed Instance, they reevaluated their setup. Switching to AKS for application servers and Azure SQL Database Managed Instance for databases required a one time expense of $35,000, which covered planning, implementation, and training. This change brought their monthly expenses down to $4,500, (AKS at $3,000 and Azure SQL Database Managed Instance at $1,500), resulting in monthly savings of $2,900. Within a year, these savings will have offset the initial migration costs, resulting in an annual saving of approximately $34,800. Autoscale turning on and off the computing resources on demand Azure's billing model charges for compute resources, like virtual machines (VMs), on an hourly basis. To reduce the overall spend, we identify and turn off resources you don't need to run 24/7. Our approach includes: We thoroughly review your Azure resources to optimize spending, focusing on deactivating idle VMs. Organizing resources with clear naming and tagging helps us to track their purpose and determine the best times for activation and deactivation. Resources used for development, testing, or quality assurance, like Dev/Test/QA, often remain idle overnight and on weekends. We can automate turning them off when they're not needed, resulting in significant cost savings. Compared to production VMs, the savings from these resources can be substantial. For example, consider an organization with 1.5 TB of production data on SQL Servers, primarily used for monthly reporting, costing about $2,000 per month. Since these systems are idle about 95% of the time, they're incurring unnecessary costs for mostly unused resources. With Azure's autoscaling feature, the organization can configure the system to scale up during high-demand periods, like the monthly reporting cycle, and scale down when demand is low. This way, they only pay the full rate of $2,000 during active periods (only 5% of the month), reducing monthly costs to around $600. Annually, this leads to saving of $16,800, a significant reduction in expenditure. Cost-conscious organizations can effectively handle and save on cloud migration expenses by partnering with Belitsoft's cloud experts, who handle Azure migration budget planning and ongoing cost management. Contact us to involve our experts in your cloud migration process.

Incremental Modernization Progress in application modernization can be achieved with less funding. Modernization projects don't have to be expensive and risky. Complex on-premises applications can be modernized incrementally. A complete application rewrite with a massive budget or migrating the entire system to the cloud isn't the only way forward. This systematic and fact-based method focuses on modifying organization-critical applications through a series of smaller, well-defined projects that require fewer resources. By breaking transformation projects into smaller chunks, each improvement can build upon the previous one. Change can be recognized more swiftly, allowing the organization adequate time to adapt. The entire application can be modernized using the incremental approach. At the technology stack level each increment adds modernized code which decreases the percentage of legacy code. Eventually, the legacy system will become completely modernized. Modernization activities can be prioritized, using complexity, cost and business value to determine the order based on Quick Wins approach. Transforming a long-term ambitious legacy modernization project into mini steps with clearly defined goals and outcomes will help show all stakeholders the tangible results from each milestone. It can also help prevent procrastination because small, quick wins stimulate progress and boost morale. Dmitry Baraishuk Chief Innovation Officer at Belitsoft on Forbes.com 01. Integration Modernization During application modernization, it's imperative that the system remains fully operational. Relying on the legacy system while awaiting the development of a new one is not feasible. Benefits from modernization must be seen in months, not years, preventing team exhaustion and reducing anxiety within the organization. This is where the API-first modernization approach steps in. We design custom APIs specifically for the current system's critical components and integrate it with cloud-based solutions, thereby enhancing these legacy components' capabilities. This allows the system to not only remain operational but also to immediately gain new features. In many cases, existing integration software requires modernization. Legacy on-premise middleware, such as ETL tools, ESB frameworks, or point-to-point coding, is not well-suited for integration between cloud and in-house systems, introducing an inflexible and costly approach. Sometimes, it's also necessary to identify and remove redundant integrations as well as reduce the scaffolding code. Our app modernization engineers build and run integration pipelines to connect any applications and any data. Using API capabilities of modern integration platform as a service (iPaaS), we connect legacy applications with mobile, social, IoT, and big data sources outside the firewalls of the enterprise. 02. Migrate Only Customizations, Not the Core, to Microservices This principle is about application architecture and aims to separate core functionality from customizations. If only the customizations or special features are moved to separate microservices, then the change may not be as radical as a full transition to a microservices architecture for the entire application. This makes it easier to update or replace these individual components without affecting the entire system. Microservices are independently deployable, meaning they can be scaled up or down based on demand, leading to more efficient resource utilization. Migrating to microservices can enable faster development cycles. Teams can work on different services simultaneously, enabling quicker deployments. Separating customizations from the core system into microservices makes it easier to troubleshoot and manage the application, thus improving maintainability. Building Global Platform That Supports Local Customization This is particularly relevant for enterprises operating across multiple regions or countries. This approach aims to standardize core functionalities while allowing for the flexibility to adapt to local needs, laws, or customer preferences.  The global platform would contain the core functionalities that are common across all markets. This could include things like basic product or service features, security protocols, data storage and management, etc. These elements are standardized to ensure consistency and efficiency. On top of this global layer, you would build localized modules that can be plugged into the core platform. These modules could cater to region-specific requirements like language localization, currency conversion, tax calculations, or even market-specific features. Technologically, this could be achieved through a modular architecture or microservices that allow for independent deployment of localized features. APIs could be used to facilitate interaction between the core platform and the localized modules. The core platform can be updated or scaled without affecting the localized modules. Ensures that regardless of the location, the core functionalities and user experience remain consistent. The architecture allows for quick adaptations to local market conditions, regulatory changes, or customer preferences. Common functionalities are developed and maintained centrally, reducing duplication of effort. 03. Modernizing Critical User Journeys First Such modernization efforts focus on the most important and frequently used workflows in an application, to maximize the impact in terms of user satisfaction, productivity, and overall ROI. It refers to the modernization of critical "journeys" or workflows, a series of interactions that users undertake to complete a specific task within the application.  For instance, in a project management application, a critical user journey might involve the steps to create a new project, assign team members, and allocate resources. This journey is "critical" because it is essential for the core functionality of the application and directly impacts user productivity and satisfaction. If this function is slow and users (either customers or employees) are mostly frustrated with it, this feature will be prioritized in the initial scope. The risks associated with the modernization are easier to manage because the scope is limited to specific, well-defined areas of the application. In contrast, arbitrary modernization refers to the practice of updating or upgrading systems across various aspects of a system, rather than targeting specific areas that need improvement. For example, a company might decide to update its entire software stack simply because some of the technologies are perceived as outdated. However, this approach can be costly, and not deliver the expected returns, as not all parts of the system necessarily require updating or might not be critical to business operations or customer experience. 04. Moving Non-Differentiating Functions From Core App to Specialized 3-Party SaaS/PaaS Solutions While SaaS usually replaces a particular function or application entirely, PaaS provides the building blocks that allow you to more easily develop and manage your own custom applications. For instance, if your in-house application has a reporting feature that requires a specific database and server setup, rather than maintaining this internally, you can offload this to a PaaS solution that provides the necessary database and server resources. This allows your team to focus solely on the logic and user interface of the reporting feature itself. Maintaining in-house solutions for non-core functions can be expensive. By moving non-essential tasks to third-party services, a business can focus more on what it does best,  whether that's product development, customer service, or another core competency.  Third-party solutions are plug-and-play to accelerate development cycles and help get products or features to market faster.  SaaS and PaaS solutions are generally built to be scalable, allowing companies to easily expand or contract usage based on needs, without the complex and costly process of altering in-house systems.  Third-party providers often invest in security and compliance measures, and meet industry standards.  Using third-party solutions means you don't have to worry about the upkeep of the software. Updates, security patches, and new features are handled by the service provider.

Sectors Driving Modernization in 2025 Healthcare Providers (Hospitals & Health Systems) Modernization backlog in the U.S. hospitals has been growing for more than a decade under the weight of legacy EHRs, disconnected workflows, and documentation systems that force clinicians to copy-paste. Most hospitals replace core infrastructure before building anything new. That means EHR migrations, ERP consolidations, and cloud-hosted backend upgrades to scale across facilities. The Veterans Health Administration is the most public example - now deploying Oracle Health across 13 new sites with the goal of creating a unified record that spans different departments. Similar moves play out quietly inside regional systems that have been running unsupported software since the Obama era. Clinician-facing modernization, however, is where momentum is most welcome. At Ohio State’s Wexner Medical Center, 100 physicians piloted Microsoft’s DAX Copilot and gained back 64 hours from documentation duties. That’s literal time restored to patient care, without hiring anyone new. And it’s exactly the kind of small-scope, high-impact win that other systems are now copying. Children’s National Hospital is going broader, experimenting with generative AI to reshape how providers interact with clinical data by reducing search. Modernization used to mean cost. Now it means capacity. Digital tools are being deployed where FTEs are short, where burnout spike, and where attrition has already created blind spots in workflows. And that’s why boards are green lighting infrastructure projects that would have been stuck in committee five years ago.  The barrier, in most cases, is coherence. Hospitals know they need to modernize, but don’t always know where to start or how to sequence. Teams want automation, but they’re still duct-taping reports together from five systems that don’t talk. That’s where most providers are stuck in 2025: trapped between urgency and fragmentation. The systems that are breaking through are mapping out modernization in terms of what actually improves the patient and staff experience: real-time BI dashboards instead of retrospective reports, mobile-first scheduling tools that sync with HR systems, ambient listening that captures the record without forcing clinicians to become transcriptionists. Belitsoft’s healthcare software experts modernize legacy systems, simplify processes, and implement clinician-facing tools that reduce friction in care delivery. We help providers align modernization with clinical priorities, supporting everything from building custom EHR systems to healthcare BI and ambient documentation. Health Insurance Payers (Health Plans) In 2025, health plans replace brittle adjudication systems with cloud-native core platforms built around modular, API-first design.  They pursue more narrow networks, value-based care contracts, and hybrid offerings like telehealth-plus-pharmacy bundles. Legacy systems were never designed to track those parameters, let alone price them dynamically or support real-time provider feedback loops. That’s why firms like HealthEdge and their integration partners are getting traction — for enabling automation, and for embedding claims payment integrity and fraud detection directly into the workflow. In 2025, that’s the move: shift from audit-and-chase to real-time correction. Not post-event fraud analytics - preemptive denial logic, powered by AI. Member experience modernization is the other front. Health plans can’t afford to lose members over clunky app experiences, slow pre-auth workflows, or incomplete provider directories.  Payers are investing in: API-integrated portals that allow self-service claims and virtual ID cards Telehealth services, especially for behavioral health, built into benefit design Real-time benefits lookups, connected directly to provider systems Omnichannel engagement platforms that consolidate outreach, alerts, and support They’re expectations. And insurers that delay will watch their NPS scores erode — along with their employer group contracts. Regulatory pressure is also reshaping the agenda. Payer executives now list security and compliance as top risks in any tech upgrade. Only a third of them feel confident they’re ready for incoming regulatory changes That means modernization isn’t just a technology lift. New systems are being evaluated based on: Audit-readiness Data governance visibility API traceability Identity and access control fidelity Integration with CMS-mandated interoperability endpoints Pharmaceutical & Life Sciences Companies In 2025 most large life sciences companies have finally accepted what startups realized years ago: you can’t do AI-powered anything on top of fragmented clinical systems. Top-20 pharma companies are actively overhauling their clinical development infrastructure - migrating off the siloed, custom-coded platforms that once made sense in a regional, paper-heavy world, but now slow everything from trial design to regulatory submissions. According to McKinsey, nearly half of big pharma has invested heavily in modernizing their clinical development stack. That number is still growing. The pain points driving this shift are familiar: trial startup timelines that drag on for quarters, data systems that can’t integrate real-world evidence, and analytics teams forced to export CSVs just to compare outcomes across geographies. That’s a strategic bottleneck. Modernized platforms are solving it. Companies that have replaced legacy CTMS and EDC tools with integrated cloud systems are reporting 15–20% faster site selection and up to 30% shorter trial durations - just from clean workflow automation and real-time visibility across sites.  Modernizing clinical trial systems opens the door to better ways of running studies. Adjusting them as they go, letting people join from anywhere, predicting how trials will play out, or using AI to design the trial plan. All of that sounds like the future, but none of it works on legacy platforms. The AI can’t model if your data is spread across four systems, six countries, and seventeen formats.   That’s why companies like Novartis, Pfizer, and AstraZeneca are rebuilding their infrastructure to make that possible. Faster trials mean faster approvals. Faster approvals mean more exclusive runway. Every month saved can mean tens of millions in added revenue.  McKinsey notes that 30% of top pharma players have only modernized one or two applications - usually as isolated pilots. These companies are discovering that point solutions don’t scale unless the underlying platform does. It’s not enough to deploy an AI model or launch a digital trial portal. Without a harmonized application layer beneath it, the benefits stall. You can automate one process, but you can’t orchestrate the whole trial. Outside of R&D, the same dynamic is playing out in manufacturing and commercial. Under the Pharma 4.0 banner, companies are digitizing batch execution, tracking cold-chain logistics in real time, and using analytics to reduce waste - not just to report it. On the commercial side, modern CRMs help sales teams target the right providers with better segmentation, and integrated data platforms are feeding real-time feedback loops into brand teams. But again, none of that matters if the underlying systems can’t talk to each other. Health Tech Companies and Vendors The biggest EHR vendors are no longer just selling systems of record. They’re rebuilding themselves as data platforms with embedded intelligence. Oracle Health (formerly Cerner) is shipping a cloud-native EHR built on its own OCI platform, with analytics and AI tools hardwired into the experience. This is a complete rethinking of how health data flows across settings - including clinical, claims, SDoH, and pharmacy - and how clinicians interact with it. Oracle’s voice-enabled assistant is the new UI. Epic is taking a similar turn. By early 2025, its GPT-powered message drafting tool was already generating over 1 million drafts per month for more than 150 health systems. Two-thirds of its customers have used at least one generative feature. They’re high-volume use cases that clinicians now expect in their daily workflows. What used to be “will this work?” is now “why doesn’t our system do that?” Vendor modernization is now directly reshaping clinician behavior, admin efficiency, and patient experience - whether you’re ready or not. On the startup side, digital health funding has rebounded - with $3B raised in Q1 2025 alone. Startups are leapfrogging legacy tools with focused apps: Virtual mental health that delivers within hours Remote monitoring platforms that plug directly into EHRs AI tools that triage diagnostic images before radiologists ever see them Key Technologies and Approaches in 2025 Modernization Cloud Migration On-premises infrastructure can’t keep up with the bandwidth, compute, or integration demands of modern healthcare. Providers are now asking “how many of our systems can we afford not to migrate?” Cloud lets healthcare organizations unify siloed data - clinical, claims, imaging, wearables - into a single stack. It enables shared analytics. It allows for disaster recovery, real-time scaling, and AI deployment. It’s also the only path forward for regulatory agility. As interoperability rules change, cloud platforms can update fast.  Microservices and Containerization Legacy platforms are so big that if one module needs a patch, the whole stack often has to be touched. Nobody can afford this in 2025 - especially when the systems are built around scheduling, billing, or inpatient documentation. That's why organizations break apart monoliths. Microservices and containers (via Docker, Kubernetes, and similar platforms) let IT teams refactor old systems one piece at a time - or build new services without waiting for an enterprise release cycle. It’s how CHG Healthcare built a platform to deploy dozens of internal apps in containers - standardizing workflows and cutting deployment times dramatically. It’s how hospitals are now plugging in standalone scheduling tools or analytics layers next to their EHR. EHR Modernization EHRs are still the spine of provider operations. For a decade, usability and interoperability were the two top complaints from clinicians and CIOs alike. In 2025, EHR vendors deliver fixes. Epic now supports conversational interfaces, automated charting, and GPT-powered patient message replies. Oracle’s cloud EHR is designed with built-in AI assistants and analytics  from the start. Meditech’s Expanse is delivering mobile-native UX and modern cloud hosting. These are new baselines. And they’re being adopted because: Clinicians need workflows that reduce clicks Health systems need interoperability without middleware hacks Regulators are demanding FHIR APIs and real-time data sharing When the VA replaces VistA with Oracle across its entire footprint, it’s a national signal: modern EHRs are not just record systems now. Low-Code The staffing shortage in healthcare tech is real. And waiting months for a development team to deliver a small app is no longer acceptable. That’s why low-code platforms (Salesforce, PowerApps, ServiceNow) are gaining ground in hospital IT. Low-code enables clinical and operational teams to launch small, high-impact tools on their own. Examples in the field: A bedside tablet app that pulls data via FHIR API, built in weeks - not quarters Custom staff scheduling flows tied to the HR system, updated on the fly Patient outreach tools that route data back into the CRM without custom middleware Artificial Intelligence and Machine Learning Integration From clinical documentation to insurance claims to pharmaceutical R&D, AI has moved from pilot status to production use - and it’s quietly reshaping cost structures and workflows. Clinical AI The most visible adoption is inside hospitals and physician groups, where AI-powered scribes now operate as real-time note-takers. These ambient tools transcribe conversations and structure them into the clinical record as a usable encounter note. Early deployments are showing tangible gains: fewer hours spent documenting, faster throughput, and  happier physicians. Patient-facing apps now routinely include AI chatbots for triage, appointment scheduling, and FAQ handling, offloading low-complexity interactions that would otherwise clog up call centers or front desks.   Operational AI: Driving Down Admin Overhead in Payers and Providers Insurers have leaned hard into AI for process-heavy work: claims adjudication, fraud detection, and summarization of policies and clinical guidelines. Automating portions of the revenue cycle has reduced manual review, improved coding accuracy, and accelerated payment timelines. Deloitte’s 2025 survey confirms that AI is now a strategic priority for over half of payer executives, and not just for cost reduction. Underwriting, prior authentication decisioning, and customer service bots are now all AI-enabled domains -  because manual handling simply doesn’t scale. Provider systems are adopting similar logic. AI-driven tools now assist billing teams with denial management and code validation - helping recover missed revenue and reduce rejected claims, often without increasing staffing.  Pharma AI In pharma, algorithms screen compounds, predict trial success based on patient stratification, and optimize site selection based on population health patterns. One major biopharma firm uses machine learning to model which trial protocols are most likely to succeed - and which recruitment strategies have the highest yield. McKinsey estimates $50 billion in annual value is on the table if AI is fully leveraged across R&D. And the only thing blocking that is the systems. That’s why the smartest companies are modernizing trial management platforms, integrating real-world data, and building AI into their analytics infrastructure. Governance Is Now Mandatory Because AI is Embedded Once AI starts generating visit summaries, triaging patients, or flagging claims for denial - the risk of error becomes systemic. Most provider organizations deploying clinical AI tools now have AI governance committees reviewing: Model accuracy and performance Bias and equity auditsRegulatory alignment with FDA’s evolving AI guidance Interoperability Interoperability is the hidden engine powering everything that matters in healthcare modernization. If your systems can’t share data through APIs,  then every other investment you make will eventually stall. AI, analytics, virtual care, population health management -none of it works without integration.   The 21st Century Cures Act mandated that EHRs expose patient data through standardized FHIR APIs as a legal requirement. That mandate hit everyone who integrates with patient data: providers, payers, labs, and app developers. Cloud integration platforms, HL7/FHIR toolkits, and master patient indexes are now readily available and built-in to most modern systems.  Modern EHRs are now deployed with real APIs. Health plans open claims data to other payers. Patients expect apps to access their records with one click. And regulators expect interoperability to be a default. Modern health apps - whether built in-house or purchased - are expected to offer FHIR APIs, user-level OAuth security, and plug-and-play integration with at least half a dozen external systems. If they can’t? They’re not even considered in procurement. Challenges and Barriers to Modernization in 2025 Cybersecurity 2023 and 2024 were record-setting years for healthcare data breaches, and ransomware is still a daily risk. The challenge is modernizing with zero-trust architectures, embedded encryption, real-time monitoring. Security-first modernization is slower.  Legacy Systems  Modernizing one system often means breaking five others. So teams modernize in slices. They update scheduling without touching the billing core. They roll out new patient apps while the back-end is still on-prem. And that piecemeal approach - while pragmatic - creates technical debt. The challenge is the dependencies. It’s the billing logic no one can rewrite. The custom reporting your compliance team depends on. The integrations held together with scripts from 2011. In 2025, the health systems making real progress are doing three things differently: Mapping dependencies before they pull the cord Using modular wrappers and APIs to isolate change Sequencing modernization around business impact - not tech idealism Regulatory Requirements Every platform you touch has to stay compliant with HIPAA, ONC, CMS, and increasingly, FDA guidance - especially if you’re embedding AI. Replace your EHR? Make sure it’s still ONC-certified. Launch a new patient engagement app? Don’t forget consent management and audit trail requirements. Build a clinical decision tool with GPT? You may be walking into a software-as-a-medical-device (SaMD) zone. Many payers are holding off on major IT overhauls. The risk of investing in the wrong architecture - or too early - is real. But waiting also costs. The CEOs who are moving forward are doing so by baking compliance into the project timeline. They involve legal and clinical governance from day one. And they’re designing for flexibility  because the policy won’t stop shifting. And above all: they’re resisting the urge to rip and replace without a migration path that keeps operations intact. Cultural Resistance You can buy platforms but not adoption. Every new system - no matter how well designed - shows up as another thing to learn. Innovation fatigue goes away when teams believe the new tools actually give them time back, reduce clicks, and make their lives easier. In 2025, the organizations breaking through cultural resistance are doing two things well: Involving clinicians early - in co-design Delivering early wins - like AI scribes that give doctors back 15 minutes per visit, not promises of better care someday They also hire tech-savvy “physician champions,” embed superusers in departments, and give staff the support and agency to adopt at their pace. Because if modernization is delivered as a top-down mandate? It will stall. No matter how good the system is. Interoperability and Data Silos: Progress with Pain Ironically, modernization projects often make interoperability harder before they make it better. That’s because new systems speak modern languages — but your data is still in the old ones. Migrating patient records. Reconciling code sets. Building crosswalks between legacy EHRs and new cloud platforms. It all takes time. Even when the target system is FHIR-native, the data coming in isn’t. And until all entities in your network modernize in sync, you’re living in a hybrid world - with clinical, claims, and patient-generated data split across modern APIs and legacy exports. This isn’t a short-term challenge. It’s the operating condition of modernization in 2025.  The solution is to design for coexistence. Build middleware. Accept data friction. And keep moving. ROI Pressure Modernization costs money. Licenses, subscriptions, cloud costs, consultants — the sticker price is high. And even if you believe in the strategy, your CFO wants proof. That’s why the smartest CEOs are phasing modernization into value-based tranches: Replace the billing system after the front-end is streamlined Layer AI into existing documentation tools before replacing the EHR Roll out low-code apps to hit immediate ops gaps while core platforms evolve And they’re tying every dollar to metrics that matter: reduced call center volumes, faster claim approvals, shortened length of stay. Because in 2025, you need to modernize the things that move the business. How Belitsoft Can Help Belitsoft helps healthcare organizations modernize legacy systems with modular upgrades, smart integrations, and cloud-native tools that match the pace of clinical and business needs. Whether it’s rebuilding trial platforms, fixing disconnected EHRs, or making patient apps usable again, Belitsoft turns modernization from a bottleneck into a competitive advantage. For Providers (Hospitals & Health Systems) Belitsoft can support modernization efforts through: Custom EHR migration support: migrating from legacy systems or outdated on-premises EHRs to modern, cloud-native platforms. Frontend modernization: building mobile-native apps, ambient voice tools, or clinician-facing interfaces that reduce clicks and documentation overload. Integration layers: connecting fragmented billing, lab, and scheduling systems via FHIR APIs and custom middleware. Low-code tools: creating lightweight apps for patient check-in, nurse scheduling, or discharge planning without waiting for full-stack releases. Microservices architecture: decoupling legacy hospital software to enable modular upgrades - scheduling, reporting, documentation, etc. Belitsoft can act as both a modernization contractor and strategic tech partner for health systems stuck between urgency and fragmentation. For Health Plans (Payers) Belitsoft can deliver: Custom modernization of adjudication and payment systems, designed with modular APIs and cloud-native infrastructure. Member experience modernization: building digital self-service portals, real-time benefits lookup, and omnichannel messaging tools. Interoperability solutions: developing APIs for CMS mandates, FHIR integration, identity management, and secure audit-ready logs. AI-powered automation: embedding fraud detection, denial logic, or claim prioritization into claims processing. Compliance-focused upgrades: modern systems built for traceability, audit-readiness, and evolving ONC/CMS requirements. Belitsoft’s strength lies in building solutions that integrate legacy claims engines with new digital layers - enabling real-time interaction, transparency, and regulatory resilience. For Pharma and Life Sciences Belitsoft can offer: CTMS and EDC modernization: replacing siloed legacy systems with cloud-native platforms for trial design, patient recruitment, and data capture.Analytics and BI dashboards: real-time visibility into site performance, recruitment status, and trial outcomes. Integration of real-world evidence (RWE) into trial and commercial data pipelines. Manufacturing and supply chain visibility tools: real-time batch tracking, cold-chain monitoring, yield optimization. CRM modernization for sales teams: segmentation, real-time performance tracking, and better targeting tools. Belitsoft can serve as a modernization partner for pharma companies looking to move beyond pilots and point solutions toward scalable digital infrastructure. For HealthTech Vendors & Startups Belitsoft can support healthtech vendors with: Cloud-native platform development: building core SaaS tools for remote monitoring, virtual care, and diagnostics. Modern EHR integrations: FHIR API development, SDoH data handling, and embedded analytics. Product-grade AI/ML integration: powering triage tools, image screening, or care recommendations with custom models and audit-ready pipelines. Governance tooling: dashboards for model performance, bias monitoring, and regulatory alignment. Interoperability-first design: plug-and-play modules that are procurement-ready (FHIR, OAuth2, audit logs). Belitsoft can function as a full-cycle tech partner for healthtech companies - from prototype to compliance-ready production systems.

Why Belitsoft? With more than two decades devoted to .NET modernization, we’ve helped over 1,000 organizations achieve their technology goals - including the delivery of 200+ complex projects. After we deliver an MVP, nine out of ten customers choose to keep working with us. Our modernization work is a targeted intervention aligned with the dominant business driver in each vertical, which is why the resulting gains meet sector-specific needs. For finance - it's security and compliance, for e-commerce - it's latency under load, for healthcare - it's data integrity and privacy. The improvements after our migration and modernization efforts will be measurable - less manual work hours, lower page-load times, faster claim cycles, or higher orders per second. These KPIs are tracked before and after the cut-over, so the impact will be visible. With Belitsoft, you’ll gain cross-platform deployment, cloud scalability, and stronger security - each of which ties directly to a business advantage like lower costs, higher uptime, or audit readiness. Looking to modernize your legacy .NET applications? Belitsoft's dedicated .NET developers modernize legacy apps with minimal disruption, ensuring your systems are scalable, secure, and technologically up-to-date. Our .NET Migration Services We provide a full-spectrum offering - architecture consulting to future-proof the design, performance testing to validate speed under load, cloud deployment to land you in Azure or AWS with best-practice pipelines, and ongoing support. Every layer of the stack is covered by experts. If all you need is a tight, migration-only engagement, we’ll deliver it. Basic .NET Migration Services We specialize in straightforward "lift-and-shift" migrations that move your applications from older .NET Framework versions to the latest .NET releases (such as .NET 8 or .NET 9) with minimal code changes. We move your legacy software - whether it’s built on older versions of .NET - to the newest Microsoft .NET platform. The migration process is quick and cost-effective. We safeguard your data and keep downtime to a minimum. Our migration experts adjust each step to match your specific needs. As part of the process, we update project files, upgrade infrastructure components, such as IIS or cloud-based services, assess environment configurations, and modernize web app deployment settings, so everything aligns with current best practices.  Where data is involved, we migrate database schemas and stored procedures - whether you’re upgrading on-premises SQL Server or transitioning to Azure SQL - so your data layer remains fully compatible. The end result - once the migration is complete, your application just works, delivering the same functionality you rely on, now running on fully supported, modern technology. Enhanced .NET Modernization Services Beyond simply moving code, this type of migration elevates your application. We begin by upgrading the codebase to cross-platform .NET Core / .NET 8/9+ so you immediately benefit from the runtime’s performance and memory management gains - many organizations report 25-30% faster throughput after this step alone.  While the upgrade is underway, we profile the app, tune hot paths, and harden security: HTTPS is enforced by default, authorization is refactored using ASP.NET Core’s modern policy model, and known vulnerabilities are patched. If your legacy architecture limits agility, we refactor it - splitting monoliths into modular services or refreshing tiered designs - so the solution scales cleanly and is easier to maintain.  At the same time, we can integrate new features or UX improvements from your wish list, ensuring the product that emerges feels both familiar and unmistakably better. The result is an application that is faster, more secure, and cloud-ready - an upgrade in capability and value, not merely a change of runtime. .NET Migration Service Delivery Models We Offer Remote (Offshore) Team Our offshore delivery model lets you tap into a global pool of seasoned .NET engineers, giving you enterprise-grade expertise at a lower cost than exclusively onshore teams. To make sure distance never dilutes quality, we build in robust communication rhythms - daily stand-ups, shared sprint boards, and overlapping core hours - so questions are answered promptly and priorities stay aligned. Operating remotely also trims your overhead: you avoid extra office space and equipment costs while our teams handle the infrastructure. Throughout every sprint, collaborative tools and agile ceremonies keep progress transparent, pulling you into each decision loop and ensuring that "off-site" never feels out of sight. Time-Zone Alignment We can staff teams that work in your time zone, joining daily stand-ups and reacting to issues in real time. When using fully offshore talent for cost efficiency, we schedule guaranteed overlap windows. The result is a global team that feels local: quick hand-offs, instant feedback loops, and faster resolution of critical issues - no matter where the engineers are seated. Engagement Models Fixed-scope, one-off projects deliver a turnkey migration: we lock requirements, schedule, and price up front, then execute to meet the agreed-upon deadline and budget. This gives you maximum cost and timeline predictability while ensuring the application is fully migrated and ready for production on day one. Ongoing partnerships extend the relationship beyond the initial cutover. After go-live, our team stays embedded as a strategic extension of your IT organization - handling iterative modernization, performance tuning, future .NET upgrades, routine maintenance, and rapid troubleshooting. This continuous engagement keeps the software evergreen and lets you evolve features at the pace your business demands. Whether you need a single, predictable handoff or a long-term ally who shares your roadmap, we align our approach. Need a team fast?  We can spin up a dedicated, full-cycle team in just a few weeks, delivering approximately 170 hours per month of focused engineering capacity.  If you already have developers in place, we integrate seamlessly as team augmentation - powered by a high-velocity recruitment engine that provides certified experts exactly when you need them.  Engage us under an outsourcing model, and we take on the timeline and budget risk - freeing you to focus on the roadmap, not resourcing concerns. .NET Applications Types We Migrate Belitsoft offers end-to-end modernization across every part of a legacy application. User interfaces Desktop tools - whether WinForms, WPF, or console apps - are ported to the latest .NET so they run smoothly on Windows 11. If you have a VB.NET WinForms application, we can either move it intact onto .NET 8/9 to keep the familiar look and feel, or redesign the interface in WPF or Blazor for a more modern experience. Web-based systems We migrate classic ASP.NET Web Forms step by step into ASP.NET MVC or ASP.NET Core. Pages are replaced gradually, allowing the business to stay online during the process. If you want a new interface - React, Angular, or Blazor - we can add it on top of your existing logic, keeping functionality stable while improving the experience. The updated system runs on ASP.NET Core’s streamlined platform, giving you cleaner code, better performance, and room to scale in the cloud. Backends Legacy ASMX or WCF services are rebuilt as modern REST APIs or high-speed gRPC endpoints on .NET 8/9 and beyond. Background jobs that used to run as console or Windows services are migrated to .NET Worker Services - or Azure Functions, if you're moving to the cloud - to align with today’s DevOps and serverless models. Databases Whether you're upgrading an old SQL Server or switching to Azure SQL, we migrate your data and schema with full integrity checks. Mappings and stored procedures are updated and regression-tested, so your system picks up right where it left off - only faster, easier to maintain, and ready for what’s next. Our dedicated .NET developers deliver scalable, secure solutions handling everything from web app upgrades to cloud-ready service layers and database migrations. Let’s talk about your application migration project. .NET Migration Tools And Automation We Use Our migrations are driven by automation and repeatable tooling. When using a Code First approach, every database change is scripted as an Entity Framework Core migration, so the schema evolves incrementally, can be replayed in any environment, and never relies on manual SQL. In Database First scenarios, we work from the existing database structure and apply updates directly using specialized tools to ensure consistency and traceability. Before a single line is merged into "main", we run static code analyzers - the .NET Portability Analyzer, Roslyn-based rules, and custom security checks - to identify unsupported APIs, deprecated calls, or vulnerabilities. Changes then flow through a CI/CD pipeline in platforms such as Azure DevOps or GitHub Actions: each push triggers clean builds, automated tests, and deployment to a staging slot. That feedback loop catches integration issues or performance regressions within minutes. By the time we hand the project back, you get the fully automated build-and-release pipeline, which comes complete with green-to-green dashboards and one-click rollbacks. .NET Migration for Large Enterprises We deliver an end-to-end engagement that covers every phase - initial assessment, full-scale execution, and post-migration support - so you never manage multiple vendors. We begin with an application-portfolio assessment and a pilot migration, identifying quick wins and hidden risks, and validating tooling in a controlled setting before any large-scale cut-over. This diligence de-risks the roadmap for the most complex enterprise estates. Throughout execution, we coordinate tightly with your PMO and align to all internal compliance and security mandates, ensuring milestones, reporting, and governance dovetail with your existing processes. Because our bench spans databases, security, UI/UX, and cloud architecture, you get one-stop shopping - no need to stitch together separate specialists. As the project wraps, we provide structured knowledge transfer and training so your teams can operate, extend, and modernize the platform long after we step back.  .NET Migration for Cost-Conscious Organizations Our offshore delivery model makes large-scale migrations financially viable without compromising quality.  By tapping into global talent pools, we assign specialized .NET engineers to each task - often at significantly lower rates than fully onshore teams - and pass those savings directly to you.  Mature processes, overlapping work hours, and disciplined communication rhythms eliminate common offshore pitfalls, keeping progress fast and expectations clear.  This approach allows you to modernize mission-critical systems within tight budgets, rescuing projects that might otherwise have been shelved due to cost. .NET Migration for Internal Development Teams We serve as an on-demand extension of your engineering staff, stepping in wherever your migration hits a skills gap. Whether the sticking point is a VB6 module, an Entity Framework data layer, or a cloud uplift to Azure, our specialists plug directly into your workflow to tackle the hardest problems. Collaboration is hands-on: pair programming sessions, structured code reviews, and quick-fire whiteboard problem-solving all happen in real time. Along the way, we can mentor your developers - explaining design choices, demonstrating modern patterns, and sharing practical tips. By project close, you gain a fully modernized application and an upskilled in-house team equipped with the confidence and knowledge to own the codebase going forward. Book a free migration assessment or request a no-obligation cost estimate today.

Business First Mindset before Migration to SaaS One of the key concepts here is having a business mindset first and a technical approach second. The move to SaaS begins with business strategy and goals. Do not let the technical aspects pressure you to rush with your SaaS migration process.  Your business needs have a definite influence on the path and the top priorities for your SaaS project migration.  When crafting your strategy, focus on the questions that unleash the most about what your future product will look like:  How can SaaS help us grow our business? Which segments are we targeting? What is the size and profile of these segments? What tiers will we need to support? What service experience are we targeting? What is our pricing and packaging strategy? Anyone who had previous experience with SaaS migration knows that most of the time answers to these questions influence the answers to technical questions such as: How do we isolate tenant data? How do we connect users to tenants? How do we avoid noisy neighbor conditions? How do we do A/B testing? How do we do based on tenant load? Which billing provider should we use? Introduce True SaaS Experience: Shared Services for Identity, Onboarding, Metrics, and Billing Management The key concept embraced by all SaaS solutions is having shared services surrounding your application. These services are used by SaaS business owners for identity, onboarding, metrics, and billing management. From the migration point of view, these services play a titular role.  You’ll need services to manage and monitor your SaaS solution centrally.  The general goal is to get your application running in a SaaS model with basic functionality. It allows you to improve the customers' experience instantly with ongoing updates based on incoming feedback. That’s why implementing these services should be at the forefront of your migration path. It allows you to present a true SaaS experience to your customers no matter what SaaS deployment architecture you choose.  You can make further modifications to your app and its architecture at a later stage. How much you modernize your application will vary based on the nature of your legacy environment, market needs, cost considerations, and so on.  Support your SaaS migration process Your team can handle the business aspects of your SaaS migration, but understanding the technical side may be challenging. Once you have planned a sound business strategy, the next step is to address the technical challenges. This involves assessing and adjusting your application and data for the new cloud environment. Integrating data migration testing into this phase is about identifying and resolving any data compatibility or performance issues before they impact your SaaS operation. Seek professional support from SaaS development company who have expertise in setting up the necessary shared services environment for your customers and ensuring a smooth and secure transition of your data to the cloud. STREAMLINE YOUR SAAS MIGRATION WITH A RELIABLE PARTNER