Belitsoft > Back-End Development Services

Reliable Back-End Development Company

Behind the pretty face of your app or website, we create the back-end that allows users to interact with your product. Thanks to a powerful and solid back-end, you get software with consistent performance, well-thought business logic, smooth calculations, and database interactions. We also provide API development to connect different back-end components, facilitate integration, and contribute to the overall scalability and maintainability of your applications.

Backend Development Services

Working on world-class products, our backend engineers have experience in developing, and maintaining highly scalable distributed solutions, implementing a microservices-based architecture, building distributed systems, engineering infrastructure and systems, and scaling services on cloud computing platforms. They have a solid foundation in algorithms, data structures, and concurrent programming.

Web/Mobile App Backend Development

The expert dedicated backend developers build unbeatable backend systems for your web and mobile app. With their skills, your applications will perform flawlessly, remain stable, and be secure.

Database Development Services

Backend developers will extract valuable and concise information from complex data structures to provide valuable output when applied in your solutions. For that, backend developers are proficient in managing databases, including but not limited to MySQL, Oracle, MongoDB, SQLite, Postgre SQL, and more.

API Integration and Programming

When you hire dedicated backend developers, they can seamlessly implement API programming to enable third-party integrations. They easily integrate the current backend with other applications with no complications.

Server-Side Scripting

Dedicated backend developers make sure that all of your project servers are efficient, speedy, and up to date with current project criteria. Skilled backend developers remain abreast of the newest technologies and tools to deliver risk-free and error-free server scripting services.

Cloud Migration

Proficient dedicated backend developers migrate your backend system to the cloud or build a new cloud-based system. They have expertise in AWS migration and development and Azure migration and development, and can help you modernize your software system. Hiring dedicated backend developers enables effective and advanced re-engineering.

Software testing

We conduct rigorous testing of the software to prevent issues during the last delivery of the product. The team defines the development life cycle and application modules.

Frequently Asked Questions

Evaluating developer’s tech skills and experience based on project requirements

We use methods to test a candidate's tech skills and working experience:

  1. Technical interview asking specific questions related to the technologies and programming languages a candidate has listed on their CV.
  2. Technical test based on a practical task to test the candidate's skills in a specific area, such as database optimization or API design.
  3. Code review of the previous candidate's code samples (often in GitHub) to assess the knowledge, programming style, and attention to detail.
  4. Live coding during the interview, usually in a shared code editor, to assess coding skills in real-time.

Assessments help find a developer who will be a good fit for the project or the team, can work with minimal supervision, and comprehend the project specifications.

Evaluating the developer's soft skills that will favor your project

Together with hard skills, we always evaluate soft skills, ensuring that a developer will contribute to the success of your project:

  1. Self-learning and adapting to new tools and methodologies increases backend developer productivity in creating scalable, and easy-to-use software for you.
  2. The ability to converse with colleagues, customers, and business stakeholders and articulate technical principles to those without technical expertise, besides the skill to listen and comprehend the needs and expectations of others, is essential for a successful workflow.
  3. Collaboration in a group for delegating tasks, sharing knowledge, and solving problems together with other team members, such as designers, project managers, and stakeholders, to combine forces for achieving total effectiveness.
  4. Problem-solving skills to think critically, analyze information and come up with creative solutions to work independently, keep up high productivity, and effectively troubleshoot and debug code to guarantee the quality and stability of the final product.
  5. Time management to handle multiple tasks, prioritize time effectively, and meet commitments, avoiding underestimated deadlines, over-promising in deliverables, and frustration among stakeholders.

Setting up regular transparent communication

When our developers get a task, they log it in tools like Jira or Clickup. That’s how a client can see the number of current tasks and who handles what.

Every dedicated backend developer logs all the work in Jira during the process, so the client can always track the progress. When questions arise, we arrange meetings or calls by Skype, Zoom, Google Meets, etc. for getting responses.

Client representatives with the product expertise join us in regular meetings.

We provide timely updates and feedback to the client at the end of each sprint.

Keeping flexibility in the project management

Belitsoft and a client mutually agree on the most effective project management method (for example, Agile, Scrum, Waterfall, Kanban, or Three-Point Estimation Technique).

According to the selected method, we set up a working process. For example, if we choose Agile, we divide our work into 2-week sprints and assign the roles (Project Manager, Scrum Master, Team Lead, etc.).

During the project lifecycle, we keep on analyzing accomplishments to adjust the workflow of dedicated developers. We offer advice based on the client's specialists' performance, by mutual consent.

Scaling the team of dedicated backend developers quickly on demand

If the project scope grows or the development process requires changes, we scale up or down the number of dedicated backend developers in your team.

We put together a team of experienced senior level backend developers who can quickly start making progress, and help teach new members the project.

The onboarding process of every new hire may take 2 months considering the specifics of the knowledge domain, which significantly delays product or service delivery time.

We’ve created a strategy for onboarding a newcomer and delivering results within about 2 weeks only.

  • A new hire package. Every newcomer gets all the training materials and internal resources to dive into the project without the need to guess or constantly ask their new colleagues or mentors.
  • Mentorship. A newcomer gets a mentor whose task is to explain short-term expectations and assign their first project.

Motivating employees to grow

Encouraging employees to learn continually benefits both the company and the staff.

The major outcomes of employees’ education are:

- discovering and using employees’ potential

- satisfying employees’ professional ambitions and needs for self-fulfillment

Dealing with interpersonal issues and building a trust-based relationship

Every 2-3 months, we review employees to estimate the level of productivity, satisfaction, and potential and to timely detect interpersonal problems that usually lead to bad performance. 

Teams and their managers do their best to overcome the concern once it is raised.

Invest in the best solution for your needs - choose Belitsoft’s team of talented backend developers who recognize how to deliver software that users appreciate and pay for.

Technologies We Offer

By selecting the right back-end technologies and well-versed back-end developers, you ensure that your software interacts with users and performs correctly, handles business logic effectively, scales easily, supports integrations, manages and hosts data securely.

.NET Back-End Development

Choose .NET framework if you need an interactive web app, MVC-patterned app, real-time app, web API, or REST APIs/microservices. By using .NET back-end framework, its ASP.NET Core branch, to be exact, with tools and libraries for building web apps and services for Windows, Linux, macOS, and Docker, we’ll create for you:

.NET back-end development
Example of a web app with ASP.NET core architecture.
Websites. Our back-end developers use .NET and C# to build websites with interactive UIs and dynamic web content on HTML5, CSS, and JavaScript that work fast and securely and can be easily scaled to millions of users.
Real-time apps. Belitsoft’s back-end developers use SignalR to add real-time functionality to your product. As a result, your dashboard, map, or application receives real-time messages without hitting a refresh button.
REST APIs and Microservices. We will help you scale a complex solution by breaking it into REST microservices using ASP.NET Core. If you already have an app, we can adopt microservices without overwriting your app from scratch.

Java Back-End Development

Java is one of the widely used back-end programming languages. Belitsoft provides dedicated Java developers for hire. Java frameworks make back-end web development quick and hassle-free due to removing most of the boilerplate code and configuration. Thanks to a wide range of supported APIs, tools, and technologies, our developers can use Java to create for you:

Java back-end development
Example of deploying architecture for Java-based apps with a cloud provider of your choice
Web applications.We biuld Java-based web applications running inside servlet containers.
Cloud apps with Spring Cloud middleware modules.We can develop your app as microservices packaged into multiple apps. Each service runs in its own process and uses APIs to communicate. They are set up around business capabilities.
Java EE / Jakarta EE applications. By applying Jakarta EE, our developers ensure that you get the best technologies for developing modern, mission-critical Java applications from scratch.
Serverless applications. Supported triggers include responding to changes in data, responding to messages, running on a schedule, or receiving an HTTP request.
JAR applications. We build applications that are invoked directly from the command line. They incorporate HTTP communication to handle web requests and all other dependencies directly into the application package.
Batch applications. We provide you with apps that run briefly, execute certain workloads, and exit without waiting for a request or input.

Python Back-End Development

Python programming language enables server-side web application development. Python has dozens of extras for handling typical web development tasks, such as site maps, user authentication, RSS feeds, content administration, and many more — right out of the box. Hire dedicated Python developers to build:

Python back-end development
Example of a typical Python architecture
Web applications in the Cloud. Using Python, you benefit from a vast choice of compatible back-end frameworks, tools, libraries, and other technologies for fast and effective web programming. To name some of them, Django framework, Django CMS, Requests (a powerful HTML library), Pandas (data analysis and modeling library), and much more. We can also build apps with Django and Flask using popular relational and non-relational (SQL and NoSQL) databases.
Business Applications. Python is used to build business applications for managing sales, inventory, marketing, HR, and other business aspects. Using Python, you can build all-in-one management software with advanced data analytics and visualization. Python helps describe and categorize data, as well as perform exploratory data analysis, which includes profiling data and visualizing results.
Apps featuring AI and ML. Our developers can build, train, host, and deploy your models using the Python SDK or 3-party APIs for vision, speech, language, knowledge, and search functionality.

Node.js Back-End Development

Node.js is an event-driven JavaScript runtime designed to build scalable network applications. Using Node.js our back-end developers can build for you:

Node.js back-end development
Example of Node.js architecture
Real-time apps. We can use Node.js to create real-time web applications with push capability, real-time chats, streaming apps, or real-time collaboration tools.
Internet of Things (IoT) apps. The event-driven architecture and asynchronous processing of Node.js allow handling multiple concurrent requests and make Node.js a fast-performing layer between IoT devices and databases used for storing data from them.
Microservices. Using Node.js-based microservices reduces app deployment time and improves its maintainability and scalability. Due to easy integration with Docker, Node.js allows you to put microservices in containers to avoid conflicts between development environments
Complex Single Page Apps. Node.js is ideal for SPAs as it effectively handles asynchronous calls and heavy I/O workloads.

PHP Back-End Development

PHP is one of the widely-used back-end languages for creating web apps, including e-commerce applications, CMSs, REST APIs. Our back-end web development team can design, configure, and deploy a server cluster either on-premises or in the cloud, define application monitoring, code tracing, and caching rules and add valuable PHP engine extensions. Our PHP back-end development services include:

PHP back-end development
Example of a microservice-based web application architecture using PHP framework
Performance audit. Ensure scalability and improve the UX of your software by detecting and timely removing bottlenecks. We can perform comprehensive audits of your application architecture (its scalability, maintainability, testability, PSR standards, coupling, etc.), performance (database analysis, profiling of the scripts, query analysis and optimization, etc.), and security (Cross Site Scripting Vulnerabilities, SQL injections, timing attacks, etc.).
Continuous delivery. We’ll help you improve your app quality and innovate it faster by creating effective pipelines with continuous integration and continuous delivery (CI/CD). For that, we assess your CI/CD requirements, design and deploy a CI/CD pipeline using CI/CD best practices, use ready-made plugins with 3rd-party technologies to simplify CI, help with specifics of your CI/CD workflows, and more.
Migration. PHP application upgrades and migrations are a must for increasing security and performance of your product. We can upgrade PHP version of your app, migrate it to a new PHP back-end framework (Laravel, or Symfony), modernize your CMS plugins, or migrate to a new Object–relational mapping (ORM) like Doctrine or Eloquent.

Get senior-level developers that will apply their years-long expertise in back-end development services to deliver you a scalable and high-performing web application with consistent business logic and advanced security.

GET A FREE QUOTE

Backend Modernization

Enhance your business operations with our modernization services for backend systems. We specialize in updating the server-side of your applications, taking care of essential aspects such as data management, application logic, server hosting, and system integration. Our comprehensive services include transitioning to more modern and scalable architectures, updating databases and storage systems, enhancing security practices, and automating processes for efficiency.

Healthcare Backend Developers

Our senior backend and platform engineers focus on developing pioneering software for medical community. They build, maintain, and improve internal and external-facing tools and applications, write APIs, and create backends for the world’s premier healthcare products that help medics, nurses, and doctors.

For every challenge you encounter,
we offer a combination of deep backend expertise and a tailored approach

Portfolio

Migration from .NET to .NET Core and AngularJS to Angular for HealthTech Company
Migration from .NET to .NET Core and AngularJS to Angular for HealthTech Company
Belitsoft migrated EHR software to .NET Core for the US-based Healthcare Technology Company with 150+ employees.
Customization of ready-to-use EHR for individual needs of particular healthcare organizations
Customization of ready-to-use EHR for individual needs of particular healthcare organizations
Belitsoft has helped the Client to customize web and mobile applications that сombine EHR clinical data with patient-generated health data.
Custom Investment Management and Copy Trading Software with a CRM for a Broker Company
Custom Investment Management Software for a Broker Company
For our client, we developed a custom financial platform whose unique technical features were highly rated by analysts at Investing.co.uk, compared to other forex brokers.
Custom Development Based on .NET For a Global Creative Technology Company
Custom Development Based on .NET for a Global Company
Based on modern and cost-effective .NET technologies, Belitsoft delivered a robust, scalable, and high-performance core business app as well as modernized the IT infrastructure supporting it.
Azure Cloud Migration for a Global Creative Technology Company
Azure Cloud Migration for a Creative Technology Company
Belitsoft migrated to Azure the IT infrastructure around one of the core business applications of the global creative technology company.
100+ API Integrations for Data Security Management Company
100+ API Integrations for Data Security Management Company
Our Client, the US data management company that sells software for managing sensitive and private data in compliance with regulatory laws, needed skilled developers for building API integrations to the custom software.

Recommended posts

Belitsoft Blog for Entrepreneurs
Azure Functions in 2025
Azure Functions in 2025
Benefits of Azure Functions With Azure Functions, enterprises offload operational burden to Azure or outsource infrastructure management to Microsoft. There are no servers/VMs for operations teams to manage. No patching OS, configuring scale sets, or worrying about load balancer configuration. Fewer infrastructure management tasks mean smaller DevOps teams and free IT personnel. Functions Platform-as-a-Service integrates easily with other Azure services - it is a prime candidate in any 2025 platform selection matrix. CTOs and VPs of Engineering see adopting Functions as aligned with transformation roadmaps and multi-cloud parity goals. They also view Functions on Azure Container Apps as a logical step in microservice re-platforming and modernization programs, because it enables lift-and-shift of container workloads into a serverless model. Azure Functions now supports container-app co-location and user-defined concurrency - it fits modern reference architectures while controlling spend. The service offers pay-per-execution pricing and a 99.95% SLA on Flex Consumption. Many previous enterprise blockers - network isolation, unpredictable cold starts, scale ceilings - are now mitigated with the Flex Consumption SKU (faster cold starts, user-set concurrency, VNet-integrated "scale-to-zero"). Heads of Innovation pilot Functions for business-process automation and novel services, since MySQL change-data triggers, Durable orchestrations, and browser-based Visual Studio Code enable quick prototyping of automation and new products. Functions enables rapid feature rollout through code-only deployment and auto-scaling, and new OpenAI bindings shorten minimum viable product cycles for artificial intelligence, so Directors of Product see it as a lever for faster time-to-market and differentiation. Functions now supports streaming HTTP, common programming languages like .NET, Node, and Python, and browser-based development through Visual Studio Code, so team onboarding is low-friction. Belitsoft applies deep Azure and .NET development expertise to design serverless solutions that scale with your business. Our Azure Functions developers architect systems that reduce operational overhead, speed up delivery, and integrate seamlessly across your cloud stack. Future of Azure Functions Azure Functions will remain a cornerstone of cloud-native application design. It follows Microsoft's cloud strategy of serverless and event-driven computing and aligns with containers/Kubernetes and AI trends. New features will likely be backward-compatible, protecting investments in serverless architecture. Azure Functions will continue integrating with other Azure services. .NET functions are transitioning to the isolated worker model, decoupling function code from host .NET versions - by 2026, the older in-process model will be phased out. What is Azure Functions Azure Functions is a fully managed serverless service - developers don’t have to deploy or maintain servers. Microsoft handles the underlying servers, applies operating-system and runtime patches, and provides automatic scaling for every Function App. Azure Functions scales out and in automatically in response to incoming events - no autoscale rules are required. On Consumption and Flex Consumption plans you pay only when functions are executing - idle time isn’t billed. The programming model is event-driven, using triggers and bindings to run code when events occur. Function executions are intended to be short-lived (default 5-minute timeout, maximum 10 minutes on the Consumption plan). Microsoft guidance is to keep functions stateless and persist any required state externally - for example with Durable Functions entities.  The App Service platform automatically applies OS and runtime security patches, so Function Apps receive updates without manual effort. Azure Functions includes built-in triggers and bindings for services such as Azure Storage, Event Hubs, and Cosmos DB, eliminating most custom integration code. Azure Functions Core Architecture Components Each Azure Function has exactly one trigger, making it an independent unit of execution. Triggers insulate the function from concrete event sources (HTTP requests, queue messages, blob events, and more), so the function code stays free of hard-wired integrations. Bindings give a declarative way to read from or write to external services, eliminating boiler-plate connection code. Several functions are packaged inside a Function App, which supplies the shared execution context and runtime settings for every function it hosts. Azure Function Apps run on the Azure App Service platform. The platform can scale Function Apps out and in automatically based on workload demand (for example, in Consumption, Flex Consumption, and Premium plans). Azure Functions offers three core hosting plans - Consumption, Premium, and Dedicated (App Service) - each representing a distinct scaling model and resource envelope. Because those plans diverge in limits (CPU/memory, timeout, scale-out rules), they deliver different performance characteristics. Function Apps can use enterprise-grade platform features - including Managed Identity, built-in Application Insights monitoring, and Virtual Network Integration - for security and observability. The runtime natively supports multiple languages (C#, JavaScript/TypeScript, Python, Java, PowerShell, and others), letting each function be written in the team’s preferred stack. Advanced Architecture Patterns Orchestrator functions can call other functions in sequence or in parallel, providing a code-first workflow engine on top of the Azure Functions runtime. Durable Functions is an extension of Azure Functions that enables stateful function orchestration. It lets you build long-running, stateful workflows by chaining functions together. Because Durable Functions keeps state between invocations, architects can create more-sophisticated serverless solutions that avoid the traditional stateless limitation of FaaS. The stateful workflow model is well suited to modeling complex business processes as composable serverless workflows. It adds reliability and fault tolerance. As of 2025, Durable Functions supports high-scale orchestrations, thanks to the new durable-task-scheduler backend that delivers the highest throughput. Durable Functions now offers multiple managed and BYO storage back-ends (Azure Storage, Netherite, MSSQL, and the new durable-task-scheduler), giving architects new options for performance. Azure Logic Apps and Azure Functions have been converging. Because Logic Apps Standard is literally hosted inside the Azure Functions v4 runtime, every benefit for Durable Functions (stateful orchestration, high-scale back-ends, resilience, simplified ops) now spans both the code-first and low-code sides of Azure’s workflow stack. Architects can mix Durable Functions and Logic Apps on the same CI/CD pipeline, and debug both locally with one tooling stack. They can put orchestrator functions, activity functions, and Logic App workflows into a single repo and deploy them together. They can also run Durable Functions and Logic Apps together in the same resource group, share a storage account, deploy from the same repo, and wire them up through HTTP or Service Bus (a budget for two plans or an ASE is required). Azure Functions Hosting Models and Scalability Options Azure Functions offers five hosting models - Consumption, Premium, Dedicated, Flex Consumption, and container-based (Azure Container Apps). The Consumption plan is billed strictly “per-execution”, based on per-second resource consumption and number of executions. This plan can scale down to zero when the function app is idle. Microsoft documentation recommends the Consumption plan for irregular or unpredictable workloads. The Premium plan provides always-ready (pre-warmed) instances that eliminate cold starts. It auto-scales on demand while avoiding cold-start latency. In a Dedicated (App Service) plan the Functions host “can run continuously on a prescribed number of instances”, giving fixed compute capacity. The plan is recommended when you need fully predictable billing and manual scaling control. The Flex Consumption plan (GA 2025) lets you choose from multiple fixed instance-memory sizes (currently 2 GB and 4 GB). Hybrid & multi-cloud Function apps can be built and deployed as containers and run natively inside Azure Container Apps, which supplies a fully-managed, KEDA-backed, Kubernetes-based environment. Kubernetes-based hosting The Azure Functions runtime is packaged as a Docker image that “can run anywhere,” letting you replicate serverless capabilities in any Kubernetes cluster. AKS virtual nodes are explicitly supported. KEDA is the built-in scale controller for Functions on Kubernetes, enabling scale-to-zero and event-based scale out. Hybrid & multi-cloud hosting with Azure Arc Function apps (code or container) can be deployed to Arc-connected clusters, giving you the same Functions experience on-premises, at the edge, or in other clouds. Arc lets you attach Kubernetes clusters “running anywhere” and manage & configure them from Azure, unifying governance and operations. Arc supports clusters on other public clouds as well as on-premises data centers, broadening where Functions can run. Consistent runtime everywhere Because the same open-source Azure Functions runtime container is used across Container Apps, AKS/other Kubernetes clusters, and Arc-enabled environments, the execution model, triggers, and bindings remain identical no matter where the workload is placed. Azure Functions Enterprise Integration Capabilities Azure Functions runs code without you provisioning or managing servers. It is event-driven and offers triggers and bindings that connect your code to other Azure or external services. It can be triggered by Azure Event Grid events, by Azure Service Bus queue or topic messages, or invoked directly over HTTP via the HTTP trigger, enabling API-style workloads. Azure Functions is one of the core services in Azure Integration Services, alongside Logic Apps, API Management, Service Bus, and Event Grid. Within that suite, Logic Apps provides high-level workflow orchestration, while Azure Functions provides event-driven, code-based compute for fine-grained tasks. Azure Functions integrates natively with Azure API Management so that HTTP-triggered functions can be exposed as managed REST APIs. API Management includes built-in features for securing APIs with authentication and authorization, such as OAuth 2.0 and JWT validation. It also supports request throttling and rate limiting through the rate-limit policy, and supports formal API versioning, letting you publish multiple versions side-by-side. API Management is designed to securely publish your APIs for internal and external developers. Azure Functions scales automatically - instances are added or removed based on incoming events. Azure Functions Security Infrastructure hardening Azure App Service - the platform that hosts Azure Functions - actively secures and hardens its virtual machines, storage, network connections, web frameworks, and other components.  VM instances and runtime software that run your function apps are regularly updated to address newly discovered vulnerabilities.  Each customer’s app resources are isolated from those of other tenants.  Identity & authentication Azure Functions can authenticate users and callers with Microsoft Entra ID (formerly Azure AD) through the built-in App Service Authentication feature.  The Functions can also be configured to use any standards-compliant OpenID Connect (OIDC) identity provider.  Network isolation Function apps can integrate with an Azure Virtual Network. Outbound traffic is routed through the VNet, giving the app private access to protected resources.  Private Endpoint support lets function apps on Flex Consumption, Elastic Premium, or Dedicated (App Service) plans expose their service on a private IP inside the VNet, keeping all traffic on the corporate network.  Credential management Managed identities are available for Azure Functions; the platform manages the identity so you don’t need to store secrets or rotate credentials.  Transport-layer protection You can require HTTPS for all public endpoints. Azure documentation recommends redirecting HTTP traffic to HTTPS to ensure SSL/TLS encryption.  App Service (and therefore Azure Functions) supports TLS 1.0 – 1.3, with the default minimum set to TLS 1.2 and an option to configure a stricter minimum version.  Security monitoring Microsoft Defender for Cloud integrates directly with Azure Functions and provides vulnerability assessments and security recommendations from the portal.  Environment separation Deployment slots allow a single function app to run multiple isolated instances (for example dev, test, staging, production), each exposed at its own endpoint and swappable without downtime.  Strict single-tenant / multi-tenant isolation Running Azure Functions inside an App Service Environment (ASE) places them in a fully isolated, dedicated environment with the compute that is not shared with other customers - meeting high-sensitivity or regulatory isolation requirements.  Azure Functions Monitoring Azure Monitor exposes metrics both at the Function-App level and at the individual-function level (for example Function Execution Count and Function Execution Units), enabling fine-grained observability. Built-in observability Native hook-up to Azure Monitor & Application Insights – every new Function App can emit metrics, logs, traces and basic health status without any extra code or agents.  Data-driven architecture decisions Rich telemetry (performance, memory, failures) – Application Insights automatically captures CPU & memory counters, request durations and exception details that architects can query to guide sizing and design changes.  Runtime topology & trace analysis Application Map plus distributed tracing render every function-to-function or dependency call, flagging latency or error hot-spots so that inefficient integrations are easy to see.  Enterprise-wide data export Diagnostic settings let you stream Function telemetry to Log Analytics workspaces or Event Hubs, standardising monitoring across many environments and aiding compliance reporting.  Infrastructure-as-Code & DevOps integration Alert and monitoring rules can be authored in ARM/Bicep/Terraform templates and deployed through CI/CD pipelines, so observability is version-controlled alongside the function code.  Incident management & self-healing Function-specific "Diagnose and solve problems" detectors surface automated diagnostic insights, while Azure Monitor action groups can invoke runbooks, Logic Apps or other Functions to remediate recurring issues with no human intervention.  Hybrid / multi-cloud interoperability OpenTelemetry preview lets a Function App export the very same traces and logs to any OTLP-compatible endpoint as well as (or instead of) Application Insights, giving ops teams a unified view across heterogeneous platforms.  Cost-optimisation insights Fine-grained metrics such as FunctionExecutionCount and FunctionExecutionUnits (GB-seconds = memory × duration) identify high-cost executions or over-provisioned plans and feed charge-back dashboards.  Real-time storytelling tools Application Map and the Live Metrics Stream provide live, clickable visualisations that non-technical stakeholders can grasp instantly, replacing static diagrams during reviews or incident calls.  Kusto log queries across durations, error rates, exceptions and custom metrics to allow architects prove performance, reliability and scalability targets. Azure Functions Performance and Scalability Scaling capacity Azure Functions automatically add or remove host instances according to the volume of trigger events. A single Windows-based Consumption-plan function app can fan out to 200 instances by default (100 on Linux). Quota increases are possible. You can file an Azure support request to raise these instance-count limits. Cold-start behaviour & mitigation Because Consumption apps scale to zero when idle, the first request after idleness incurs extra startup latency (a cold start). Premium plan keeps instances warm. Every Premium (Elastic Premium) plan keeps at least one instance running and supports pre-warmed instances, effectively eliminating cold starts. Scaling models & concurrency control Functions also support target-based scaling, which can add up to four instances per decision cycle instead of the older one-at-a-time approach. Premium plans let you set minimum/maximum instance counts and tune per-instance concurrency limits in host.json. Regional characteristics Quotas are scoped per region. For example, Flex Consumption imposes a 512 GB regional memory quota, and Linux Consumption apps have a 500-instance-per-subscription-per-hour regional cap. Apps can be moved or duplicated across regions. Microsoft supplies guidance for relocating a Function App to another Azure region and for cross-region recovery. Downstream-system protection Rapid scale-out can overwhelm dependencies. Microsoft’s performance guidance warns that Functions can generate throughput faster than back-end services can absorb and recommends applying throttling or other back-pressure techniques. Configuration impact on cost & performance Plan selection and tuning directly affect both. Choice of hosting plan, instance limits and concurrency settings determine a Function App’s cold-start profile, throughput and monthly cost. How Belitsoft Can Help Our serverless developers modernize legacy .NET apps into stateless, scalable Azure Functions and Azure Container Apps. The team builds modular, event-driven services that offload operational grunt work to Azure. You get faster delivery, reduced overhead, and architectures that belong in this decade. Also, we do CI/CD so your devs can stop manually clicking deploy. We ship full-stack teams fluent in .NET, Python, Node.js, and caffeine - plus SignalR developers experienced in integrating live messaging into serverless apps. Whether it's chat, live dashboards, or notifications, we help you deliver instant, event-driven experiences using Azure SignalR Service with Azure Functions. Our teams prototype serverless AI with OpenAI bindings, Durable Functions, and browser-based VS Code so you can push MVPs like you're on a startup deadline. You get your business processes automated so your workflows don’t depend on somebody's manual actions. Belitsoft’s .NET engineers containerize .NET Functions for Kubernetes and deploy across AKS, Container Apps, and Arc. They can scale with KEDA, trace with OpenTelemetry, and keep your architectures portable and governable. Think: event-driven, multi-cloud, DevSecOps dreams - but with fewer migraines. We build secure-by-design Azure Functions with VNet, Private Endpoints, and ASE. Our .NET developers do identity federation, TLS enforcement, and integrate Azure Monitor + Defender. Everything sensitive is locked in Key Vault. Our experts fine-tune hosting plans (Consumption, Premium, Flex) for cost and performance sweet spots and set up full observability pipelines with Azure Monitor, OpenTelemetry, and Logic Apps for auto-remediation. Belitsoft helps you build secure, scalable solutions that meet real-world demands - across industries and use cases. We offer future-ready architecture for your needs - from cloud migration to real-time messaging and AI integration. Consult our experts.
Denis Perevalov • 10 min read
Azure SignalR in 2025
Azure SignalR in 2025
Azure SignalR Use Cases Azure SignalR is routinely chosen as the real-time backbone when organizations modernize legacy apps or design new interactive experiences. It can stream data to connected clients instantly instead of forcing them to poll for updates. Azure SignalR can push messages in milliseconds at scale. Live dashboards and monitoring Company KPIs, financial-market ticks, IoT telemetry and performance metrics can update in real time on browsers or mobile devices, and Microsoft’s Stream Analytics pattern documentation explicitly recommends SignalR for such dynamic dashboards. Real-time chat High-throughput chat rooms, customer-support consoles and collaborative messengers rely on SignalR’s group- and user-targeted messaging APIs. Instant broadcasting and notifications One-to-many fan-out allows live sports scores, news flashes, gaming events or travel alerts to reach every subscriber at once. Collaborative editing Co-authoring documents, shared whiteboards and real-time project boards depend on SignalR to keep all participants in sync. High-frequency data interactions Online games, instant polling/voting and live auctions need millisecond round-trips. Microsoft lists these as canonical "high-frequency data update" scenarios. IoT command-and-control SignalR provides the live metrics feed and two-way control channel that sit between device fleets and user dashboards. The official IoT sustainability blueprint ("Project 15") places SignalR in the visualization layer so operators see sensor data and alerts in real time. Azure SignalR Functionality and Value  Azure SignalR Service is a fully-managed real-time messaging service on Azure, so Microsoft handles hosting, scalability, and load-balancing for you. Because the platform takes care of capacity provisioning, connection security, and other plumbing, engineering teams can concentrate on application features. That same model also scales transparently to millions of concurrent client connections, while hiding the complexity of how those connections are maintained. In practice, the service sits as a logical transport layer (a proxy) between your application servers and end-user clients. It offloads every persistent WebSocket (or fallback) connection, leaving your servers free to execute only hub business logic. With those connections in place, server-side code can push content to clients instantly, so browsers and mobile apps receive updates without resorting to request/response polling. This real-time, bidirectional flow underpins chat, live dashboards, and location tracking scenarios. SignalR Service supports WebSockets, Server-Sent Events, and HTTP Long Polling, and it automatically negotiates the best transport each time a client connects. Azure SignalR Service Modes Relevant for Notifications Azure SignalR Service offers three operational modes - Default, Serverless, and Classic - so architects can match the service’s behavior to the surrounding application design. Default mode keeps the traditional ASP.NET Core SignalR pattern: hub logic runs inside your web servers, while the service proxies traffic between those servers and connected clients. Because the hub code and programming model stay the same, organizations already running self-hosted SignalR can migrate simply by pointing existing hubs at Azure SignalR Service rather than rewriting their notification layer. Serverless mode removes hub servers completely. Azure SignalR Service maintains every client connection itself and integrates directly with Azure Functions bindings, letting event-driven functions publish real-time messages whenever they run. In that serverless configuration, the Upstream Endpoints feature can forward client messages and connection events to pre-configured back-end webhooks, enabling full two-way, interactive notification flows even without a dedicated hub server. Because Azure Functions default to the Consumption hosting plan, this serverless pairing scales out automatically when event volume rises and charges for compute only while the functions execute, keeping baseline costs low and directly tied to usage. Classic mode exists solely for backward compatibility - Microsoft advises choosing Default or Serverless for all new solutions. Azure SignalR Integration with Azure Functions Azure SignalR Service teams naturally with Azure Functions to deliver fully managed, serverless real-time applications, removing the need to run or scale dedicated real-time servers and letting engineers focus on code rather than infrastructure. Azure Functions can listen to many kinds of events - HTTP calls, Event Grid, Event Hubs, Service Bus, Cosmos DB change feeds, Storage queues and blobs, and more - and, through SignalR bindings, broadcast those events to thousands of connected clients, forming an automatic event-driven notification pipeline. Microsoft highlights three frequent patterns that use this pipeline out of the box: live IoT-telemetry dashboards, instant UI updates when Cosmos DB documents change, and in-app notifications for new business events. When SignalR Service is employed with Functions it runs in Serverless mode, and every client first calls an HTTP-triggered negotiate Function that uses the SignalRConnectionInfo input binding to return the connection endpoint URL and access token. Once connected, Functions that use the SignalRTrigger binding can react both to client messages and to connection or disconnection events, while complementary SignalROutput bindings let the Function broadcast messages to all clients, groups, or individual users. Developers can build these serverless real-time back-ends in JavaScript, Python, C#, or Java, because Azure Functions natively supports all of these languages. Azure SignalR Notification-Specific Use Cases Azure SignalR Service delivers the core capability a notification platform needs: servers can broadcast a message to every connected client the instant an event happens, the same mechanism that drives large-audience streams such as breaking-news flashes and real-time push notifications in social networks, games, email apps, or travel-alert services. Because the managed service can shard traffic across multiple instances and regions, it scales seamlessly to millions of simultaneous connections, so reach rather than capacity becomes the only design question. The same real-time channel that serves people also serves devices. SignalR streams live IoT telemetry, sends remote-control commands back to field hardware, and feeds operational dashboards. That lets teams surface company KPIs, financial-market ticks, instant-sales counters, or IoT-health monitors on a single infrastructure layer instead of stitching together separate pipelines. Finally, Azure Functions bindings tie SignalR into upstream business workflows. A function can trigger on an external event - such as a new order arriving in Salesforce - and fan out an in-app notification through SignalR at once, closing the loop between core systems and end-users in real time. Azure SignalR Messaging Capabilities for Notifications Azure SignalR Service supplies targeted, group, and broadcast messaging primitives that let a Platform Engineering Director assemble a real-time notification platform without complex custom routing code. The service can address a message to a single user identifier. Every active connection that belongs to that user-whether it’s a phone, desktop app, or extra browser tab-receives the update automatically, so no extra device-tracking logic is required. For finer-grained routing, SignalR exposes named groups. Connections can be added to or removed from a group at runtime with simple methods such as AddToGroupAsync and RemoveFromGroupAsync, enabling role-, department-, or interest-based targeting. When an announcement must reach everyone, a single call can broadcast to every client connected to a hub.  All of these patterns are available through an HTTP-based data-plane REST API. Endpoints exist to broadcast to a hub, send to a user ID, target a group, or even reach one specific connection, and any code that can issue an HTTP request-regardless of language or platform-can trigger those operations.  Because the REST interface is designed for serverless and decoupled architectures, event-generating microservices can stay independent while relying on SignalR for delivery, keeping the notification layer maintainable and extensible. Azure SignalR Scalability for Notification Systems Azure SignalR Service is architected for demanding, real-time workloads and can be scaled out across multiple service instances to reach millions of simultaneous client connections. Every unit of the service supplies a predictable baseline of 1,000 concurrent connections and includes the first 1 million messages per day at no extra cost, making capacity calculations straightforward. In the Standard tier you may provision up to 100 units for a single instance; with 1,000 connections per unit this yields about 100,000 concurrent connections before another instance is required. For higher-end scenarios, the Premium P2 SKU raises the ceiling to 1,000 units per instance, allowing a single service deployment to accommodate roughly one million concurrent connections. Premium resources offer a fully managed autoscale feature that grows or shrinks unit count automatically in response to connection load, eliminating the need for manual scaling scripts or schedules. The Premium tier also introduces built-in geo-replication and zone-redundant deployment: you can create replicas in multiple Azure regions, clients are directed to the nearest healthy replica for lower latency, and traffic automatically fails over during a regional outage. Azure SignalR Service supports multi-region deployment patterns for sharding, high availability and disaster recovery, so a single real-time solution can deliver consistent performance to users worldwide. Azure SignalR Performance Considerations for Real-Time Notifications Azure SignalR documentation emphasizes that the size of each message is a primary performance factor: large payloads negatively affect messaging performance, while keeping messages under about 1 KB preserves efficiency. When traffic is a broadcast to thousands of clients, message size combines with connection count and send rate to define outbound bandwidth, so oversized broadcasts quickly saturate throughput; the guide therefore recommends minimizing payload size in broadcast scenarios. Outbound bandwidth is calculated as outbound connections × message size / send interval, so smaller messages let the same SignalR tier push many more notifications per second before hitting throttling limits, increasing throughput without extra units. Transport choice also matters: under identical conditions WebSockets deliver the highest performance, Server-Sent Events are slower, and Long Polling is slowest, which is why Azure SignalR selects WebSocket when it is permitted. Microsoft’s Blazor guidance notes that WebSockets give lower latency than Long Polling and are therefore preferred for real-time updates. The same performance guide explains heavy message traffic, large payloads, or the extra routing work required by broadcasts and group messaging can tax CPU, memory, and network resources even when connection counts are within limits, highlighting the need to watch message volume and complexity as carefully as connection scaling. Azure SignalR Security for Notification Systems Azure SignalR Service provides several built-in capabilities that a platform team can depend on when hardening a real-time notification solution. Flexible authentication choices The service accepts access-key connection strings, Microsoft Entra ID application credentials, and Azure-managed identities, so security teams can select the mechanism that best fits existing policy and secret-management practices.  Application-centric client authentication flow Clients first call the application’s /negotiate endpoint. The app issues a redirect containing an access token and the service URL, keeping user identity validation inside the application boundary while SignalR only delivers traffic.  Managed-identity authentication for serverless upstream calls In Serverless mode, an upstream endpoint can be configured with ManagedIdentity. SignalR Service then presents its own Azure identity when invoking backend APIs, removing the need to store or rotate custom secrets.  Private Endpoint network isolation The service can be bound to an Azure Private Endpoint, forcing all traffic onto a virtual network and allowing operators to block the public endpoint entirely for stronger perimeter control. The notification system can meet security requirements for financial notifications, personal health alerts, or confidential business communications and other sensitive enterprise scenarios. Azure SignalR Message Size and Rate Limitations Client-to-server limits Azure imposes no service-side size ceiling on WebSocket traffic coming from clients, but any SignalR hub hosted on an application server starts with a 32 KB maximum per incoming message unless you raise or lower it in hub configuration. When WebSockets are not available and the connection falls back to long-polling or Server-Sent Events, the platform rejects any client message larger than 1 MB. Server-to-client guidance Outbound traffic from the service to clients has no hard limit, but Microsoft recommends staying under 16 MB per message. Application servers again default to 32 KB unless you override the setting (same sources as above). Serverless REST API constraints If you publish notifications through the service’s serverless REST API, the request body must not exceed 1 MB and the combined headers must stay under 16 KB. Billing and message counting For billing, Azure counts every 2 KB block as one message: a payload of 2,001 bytes is metered as two messages, a 4 KB payload as three, and so on. Premium-tier rate limiting The Premium tier adds built-in rate-limiting controls - alongside autoscaling and a higher SLA - to stop any client or publisher from flooding the service. Azure SignalR Pricing and Costs for Notification Systems Azure SignalR Service is sold on a pure consumption basis: you start and stop whenever you like, with no upfront commitment or termination fees, and you are billed only for the hours a unit is running. The service meters traffic very specifically: only outbound messages are chargeable, while every inbound message is free. In addition, any message that exceeds 2 KB is internally split into 2-KB chunks, and the chunks - not the original payload - are what count toward the bill. Capacity is defined at the tier level. In both the Standard and Premium tiers one unit supports up to 1 000 concurrent connections and gives unlimited messaging with the first 1 000 000 messages per unit each day free of charge. For US regions, the two paid tiers of Azure SignalR Service differ only in cost and in the extras that come with the Premium plan - not in the raw connection or message capacity. In Central US/East US, Microsoft lists the service-charge portion at $1.61 per unit per day for Standard and $2.00 per unit per day for Premium. While both tiers share the same capacity, Premium adds fully managed auto-scaling, availability-zone support, geo-replication and a higher SLA (99.95% versus 99.9%). Finally, those daily rates change from region to region. The official pricing page lets you pick any Azure region and instantly see the local figure. Azure SignalR Monitoring and Diagnostics for Notification Systems Azure Monitor is the built-in Azure platform service that collects and aggregates metrics and logs for Azure SignalR Service, giving a single place to watch the service’s health and performance. Azure SignalR emits its telemetry directly into Azure Monitor, so every metric and resource log you configure for the service appears alongside the rest of your Azure estate, ready for alerting, analytics or export. The service has a standard set of platform metrics for a real-time hub: Connection Count (current active client connections) Inbound Traffic (bytes received by the service) Outbound Traffic (bytes sent by the service) Message Count (total messages processed) Server Load (percentage load across allocated units) System Errors and User Errors (ratios of failed operations) All of these metrics are documented in the Azure SignalR monitoring data reference and are available for charting, alert rules, and autoscale logic. Beyond metrics, Azure SignalR exposes three resource-log categories: Connectivity logs, Messaging logs and HTTP request logs. Enabling them through Azure Monitor diagnostic settings adds granular, per-event detail that’s essential for deep troubleshooting of connection issues, message flow or REST calls. Finally, Azure Monitor Workbooks provide an interactive canvas inside the Azure portal where you can mix those metrics, log queries and explanatory text to build tailored dashboards for stakeholders - effectively turning raw telemetry from Azure SignalR into business-oriented, shareable reports. Azure SignalR Client-Side Considerations for Notification Recipients Azure SignalR Service requires every client to plan for disconnections. Microsoft’s guidance explains that connections can drop during routine hub-server maintenance and that applications "should handle reconnection" to keep the experience smooth. Transient network failures are called out as another common reason a connection may close. The mainstream client SDKs make this easy because they already include automatic-reconnect helpers. In the JavaScript library, one call to withAutomaticReconnect() adds an exponential back-off retry loop, while the .NET client offers the same pattern through WithAutomaticReconnect() and exposes Reconnecting / Reconnected events so UX code can react appropriately. Sign-up is equally straightforward: the connection handshake starts with a negotiate request, after which the AutoTransport logic "automatically detects and initializes the appropriate transport based on the features supported on the server and client", choosing WebSockets when possible and transparently falling back to Server-Sent Events or long-polling when necessary. Because those transport details are abstracted away, a single hub can serve a wide device matrix - web and mobile browsers, desktop apps, mobile apps, IoT devices, and even game consoles are explicitly listed among the supported client types. Azure publishes first-party client SDKs for .NET, JavaScript, Java, and Python, so teams can add real-time features to existing codebases without changing their core technology stack. And when an SDK is unavailable or unnecessary, the service exposes a full data-plane REST API. Any language that can issue HTTP requests can broadcast, target individual users or groups, and perform other hub operations over simple HTTP calls. Azure SignalR Availability and Disaster Recovery for Notification Systems Azure SignalR Service offers several built-in features that let a real-time notification platform remain available and recoverable even during severe infrastructure problems: Resilience inside a single region The Premium tier automatically spreads each instance across Azure Availability Zones, so if an entire datacenter fails, the service keeps running without intervention.  Protection from regional outages For region-level faults, you can add replicas of a Premium-tier instance in other Azure regions. Geo-replication keeps configuration and data in sync, and Azure Traffic Manager steers every new client toward the closest healthy replica, then excludes any replica that fails its health checks. This delivers fail-over across regions.  Easier multi-region operations Because geo-replication is baked into the Premium tier, teams no longer need to script custom cross-region connection logic or replication plumbing - the service now "makes multi-region scenarios significantly easier" to run and maintain.  Low-latency global routing Two complementary front-door options help route clients to the optimal entry point: Azure Traffic Manager performs DNS-level health probes and latency routing for every geo-replicated SignalR instance. Azure Front Door natively understands WebSocket/WSS, so it can sit in front of SignalR to give edge acceleration, global load-balancing, and automatic fail-over while preserving long-lived real-time connections. Verified disaster-recovery readiness Microsoft’s Well-Architected Framework stresses that a disaster-recovery plan must include regular, production-level DR drills. Only frequent fail-over tests prove that procedures and recovery-time objectives will hold when a real emergency strikes. How Belitsoft Can Help Belitsoft is the engineering partner for teams building real-time applications on Azure. We build fast, scale right, and think ahead - so your users stay engaged and your systems stay sane. We provide Azure-savvy .NET developers who implement SignalR-powered real-time features. Our teams migrate or build real-time dashboards, alerting systems, or IoT telemetry using Azure SignalR Service - fully managed, scalable, and cost-predictable. Belitsoft specializes in .NET SignalR migrations - keeping your current hub logic while shifting the plumbing to Azure SignalR. You keep your dev workflow, but we swap out the homegrown infrastructure for Azure’s auto-scalable, high-availability backbone. The result - full modernization. We design event-driven, serverless notification systems using Azure SignalR in Serverless Mode + Azure Functions. We’ll wire up your cloud events (CosmosDB, Event Grid, Service Bus, etc.) to instantly trigger push notifications to web and mobile apps. Our Azure-certified engineers configure Managed Identity, Private Endpoints, and custom /negotiate flows to align with your zero-trust security policies. Get the real-time UX without security concerns. We build globally resilient real-time backends using Azure SignalR Premium SKUs, geo-replication, availability zones, and Azure Front Door. Get custom dashboards with Azure Monitor Workbooks for visualizing metrics and alerting. Our SignalR developers set up autoscale and implement full-stack SignalR notification logic using the client SDKs (.NET, JS, Python, Java) or pure REST APIs. Target individual users, dynamic groups, or everyone in one go. We implement auto-reconnect, transport fallback, and UI event handling.
Denis Perevalov • 12 min read

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