Our back-end development experts design and implement robust and secure systems that form the technological backbone of corporate and government applications. They ensure logic processing, database communication, API integration, access management, and system integrations.
We have experience in creating complex back-end architectures in fields such as banking, e-commerce, automotive, and public administration. We focus on performance, scalability, reliability, and security – critical qualities for the daily operation of corporate systems and public services.
We work with technologies like Node.js, .NET, Java, Python, and select the architecture based on the project's specific needs – from monolithic applications to microservices and serverless solutions.
Technology | Benefits for Business | Threats / Risks | Common Uses |
---|---|---|---|
Node.js | Asynchronous processing, fast API, suitable for microservices | Not suitable for CPU-intensive tasks, callback hell | Real-time apps, REST APIs, serverless, chats, notifications |
.NET | High security, performance, scalability, enterprise-ready | Dependence on Microsoft ecosystem, higher environment requirements | Corporate systems, government contracts, banking, CRM/ERP |
Java | Stability, long-term support, multithreading, strong type safety | Verbose syntax, longer development time | Large systems, payment gateways, enterprise apps, eGovernment |
Python (Django, Flask) | Fast development, clean code, broad library support | Lower performance for complex computations, GIL limitation | Automation, data apps, ML backends, prototyping |
PHP (Laravel, Symfony) | Fast deployment, large community, good for web backends | Security risks with poor implementation | CMS systems, simple business apps, e-shops |
Ruby on Rails | Convention over configuration, fast MVP development | Performance limits, narrow community outside USA | Startup apps, MVPs, internal tools |
Go (Golang) | High performance, compiles into a single binary | Fewer frameworks, more complex syntax than Python | High-performance microservices, DevOps tools, data streaming |
Elixir (Phoenix) | High scalability, fault-tolerance, built on Erlang | Higher knowledge requirements, smaller community | Real-time apps, chats, telecommunications, distributed systems |
Rust (Actix, Rocket) | Language-level safety, extreme performance | Steep learning curve, slower development | System-level APIs, security-critical services, fintech backend |
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