A non-blocking model
The event loop handles many simultaneous connections without creating a process per request, which suits APIs and integration services.
Expertise · Node.js
Node.js Development: back ends and APIs that handle the load
Etixio delivers Node.js development for your back ends: APIs, integrations, microservices and event-driven processing that power your application. We build new services, take over existing ones and build the back ends that orchestrate AI model calls and agents.
Understanding the technology
Node.js in your project.
Node.js runs JavaScript on the server side. It is used in particular for APIs, integrations and event-driven processing. How it works requires distinguishing I/O operations from CPU-intensive computation, in order to keep the service responsive.
The strengths for your product
Why choose Node.js?
Node.js is particularly well suited to modern back ends, APIs, microservices and real-time applications, as long as the workload is mostly I/O.
The same language as the interface
JavaScript and TypeScript on both sides make it possible to share types and part of the code between front end and back end.
A good fit for microservices
Fast startup and a small memory footprint make container deployment and service decomposition easier.
Real time and streaming
WebSockets, Server-Sent Events and native streams for collaborative applications, notifications and progressive display of AI model responses.
Our scope of work
The work we take on.
Web services
Organize routes, validation and exchanges with interfaces.
Asynchronous processing
Manage tasks, processing queues and calls to external services.
Operations
Monitor errors, latency and resource consumption of processes.
Our Node.js expertise
The Node.js ecosystem we master.
Runtime
Node.js LTS versions, ESM modules, worker threads to isolate heavy computation, native HTTP, file system and process modules.
Frameworks
Express, NestJS and Fastify, chosen based on the need for structure and performance.
Data
PostgreSQL, MySQL, MongoDB and Redis, with Prisma, TypeORM or Sequelize, connection pools and transactions.
Tooling & operations
npm, yarn or pnpm, debugging and profiling with the Node.js inspector, PM2 or Docker containers for running in production.
Node.js and AI
Node.js back ends for your AI features.
An assistant or agent in production relies on a service that calls the model, provides the authorized tools and data, streams the response to the interface and keeps logs. Node.js and TypeScript are well suited to this orchestration layer, which is heavily I/O-oriented.
We add what prototypes often lack: authentication, rate limits, error recovery, cost tracking and evaluations. See our AI agents and chatbots and our enterprise AI solutions.
In the field
From technology to real-world use.
To connect a CRM to a business tool, we build the entry points, validation and processing of received events. External calls have explicit timeouts and retry strategies. Repeated requests are recognized to avoid duplicates, and logs make it possible to trace an operation from one system to another.
The choices that matter
The choices to examine before building.
A heavy task run in the wrong place can slow down other requests. We examine job queues, concurrency limits and isolation needs. Project dependencies, secrets management and unhandled errors are also part of the pre-production checks.
From work to deliverables
Delivery your team can take over.
The scope of the engagement specifies the components to build or take over and the acceptance criteria. We prepare what is needed to understand the changes, verify them and continue the work.
- Services and API contracts
- Business rule tests
- Deployment procedures
Frequently asked questions
Node.js development: your questions.
What is Node.js and why use it on the server side?
Node.js is a server-side JavaScript runtime based on the V8 engine. Its non-blocking architecture handles simultaneous connections efficiently, and it lets you use the same language as the web interface.
Is Node.js suited to enterprise applications?
Yes, for APIs, microservices, integrations and real-time applications. With TypeScript, a structuring framework such as NestJS and automated tests, it supports critical applications maintained over several years.
Is Node.js faster than Java or Python?
For I/O-bound workloads (APIs, databases, service calls), Node.js is often very efficient. For intensive computation, Java or other languages may be better suited. The choice depends on the type of workload.
When should you use Node.js rather than another back end?
For REST APIs, microservices, real-time applications (messaging, notifications), streaming and orchestration services. For data science, Python often remains preferable; for some existing transactional systems, Java or .NET.
How do you handle errors in a Node.js application?
With async/await and try/catch, a centralized error handler in the framework, consistent responses, explicit timeouts and retries on external calls, and a clean process shutdown in case of an unhandled error.
How do you scale a Node.js application?
By keeping services stateless, distributing load across multiple processes or containers (cluster, PM2, orchestrator), offloading heavy processing to job queues and using a cache such as Redis.
What security practices do you apply?
Input validation, parameterized queries or ORM, security headers, HTTPS, rate limiting, secrets kept out of the code and regular audits of npm dependencies. See our article on npm install security.
Can you build the back end of an AI agent with Node.js?
Yes. Node.js handles the orchestration of model calls, agent tools and response streaming well. We add the access rights, logs, evaluations and cost control required for production, including when taking over an existing prototype.
What collaboration models do you offer?
A fixed-price project for a defined scope, a dedicated team to evolve your back end over time, or a targeted engagement (performance, API design, migration to Node.js).
Let’s talk about your technical context.
Tell us about the application, the issue to address and the known constraints. We will review the dependencies and the first scope of work with your team.