Backend
development services.

APIs, microservices, event streaming, and high-throughput services on Node, .NET, Python, and Go.

Brief us See work
What we build

We deliver backend development services — REST and GraphQL APIs, microservices, event-driven architectures, and high-throughput services. On Node.js, .NET 8, Python, Go, and Java.

Problem · approach · outcome.

How we run this kind of work
01 · Problem

Backend choices outlive the team that made them.

A backend architecture committed to in year one constrains the product for years. Wrong choice of monolith vs microservices, sync vs async, REST vs GraphQL — and the team is paying the tax for a decade.

02 · Approach

Architecture by use case, not fashion.

Monolith first for unknown product shape; extract services when boundaries stabilise. REST where the consumer is many; GraphQL where the consumer is a complex UI. Event-driven where decoupling pays back. The architecture is a tool, not a religion.

03 · Outcome

Backends that scale with the business.

APIs that hold contract. Services with proper observability. Event streams that are operable. Deployment cadence that's measured in days, not quarters.

What we ship.

6 modules · extensible
F-01

REST & GraphQL APIs

OpenAPI-spec'd REST APIs and Apollo / Hasura GraphQL with proper schema management and versioning.

F-02

Microservices

Service boundaries based on real domain analysis. Service mesh (Istio, Linkerd) where the topology demands it.

F-03

Event streaming

Kafka, NATS, EventBridge — for async architectures with proper schema registry and replay.

F-04

High-throughput services

Go and Rust where throughput dominates; .NET 8 and Node for general business logic.

F-05

Database engineering

PostgreSQL, MySQL, MongoDB, DynamoDB — with proper indexing, query review, and partitioning strategy.

F-06

Background processing

Job queues (Sidekiq, Celery, Hangfire, Temporal) — with idempotency, retries, and observability.

Tech stack.

Production-tested
Languages
Node.js.NET 8PythonGoJavaRust
Frameworks
NestJSASP.NET CoreFastAPIDjangoSpring Boot
Databases
PostgreSQLMySQLMongoDBDynamoDBRedis
Messaging
KafkaNATSRabbitMQEventBridgeSQS

Backend that
holds contract?

Engineering · 350+ specialists
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Backend development FAQs.

Q-01Which backend language?
Use case driven. Node/TypeScript for product-velocity. .NET for enterprise. Python for data/ML-adjacent. Go for high-throughput. Rust for low-latency edge.
Q-02REST or GraphQL?
REST for service-to-service; GraphQL for complex UI consumers. Often both in the same system at different layers.
Q-03Monolith or microservices?
Monolith first unless boundaries are obvious. Extract services when the seams become real. We have rescued many "microservices" projects that should have been monoliths.
Q-04Database choice?
PostgreSQL by default; switch only when use case demands. MongoDB for document-shaped, DynamoDB for known-pattern key-value at scale.
Q-05Event-driven?
Yes — Kafka, EventBridge, NATS with proper schema management. We design for replay and idempotency.

Related across the cluster.