JarvisBitz Tech
Cloud & Backend

Backend systems and cloud infrastructure that scale.

APIs, microservices, event-driven architectures, and cloud infrastructure designed to handle real production load — from first request to ten million.

Backend Blueprint

Backend architecture blueprint

Six layers that transform raw requests into reliable, observable, and scalable backend services.

01

API Gateway

The single entry point for all client requests. The gateway handles authentication, request validation, rate limiting, and intelligent routing — shielding internal services from direct exposure while providing a unified API surface.

Technology
KongAWS API GWNginxJWT
REQUEST FLOW
Stage 01/06 · API Gateway
Performance

Built for production scale

Performance targets we design for — and hit — on every backend system we ship.

<50ms

P95 Latency

Optimized hot paths with connection pooling

99.99%

Uptime Target

Multi-AZ deployment with auto-failover

10M+

Requests/day

Horizontally scaled with auto-scaling groups

<5min

Deploy Time

CI/CD with blue-green deployment

Capabilities

What we build

Production backend systems designed for throughput, reliability, and developer experience.

RESTful & GraphQL APIs

Versioned, documented, and type-safe APIs with proper error handling, pagination, and rate limiting for internal and external consumers.

Authentication Systems

JWT, OAuth2, session management, and multi-factor authentication with secure token rotation and granular permission models.

Event-Driven Services

Async processing with guaranteed delivery, dead letter queues, and idempotent consumers for resilient distributed workflows.

Real-Time Infrastructure

WebSocket connections, Socket.IO rooms, and WebRTC signaling servers for live collaboration, chat, and streaming use cases.

Cloud Deployment

Infrastructure as code, container orchestration, auto-scaling policies, and multi-environment promotion pipelines.

Database Architecture

Schema design, migration strategies, read replicas, connection pooling, and query optimization for high-throughput systems.

Methodology

How we approach backend architecture

Backend systems fail silently unless they are designed for observability, testability, and operational excellence from the start.

API-first design

We design the API contract before building the implementation. OpenAPI specs, generated types, and contract tests ensure frontend and backend teams move in parallel.

Observability from day one

Structured logging, distributed tracing, and metric dashboards ship with the first deployment — not as an afterthought when production breaks.

Infrastructure as code

Every environment is reproducible from a Git repo. Terraform modules, Helm charts, and CI/CD pipelines mean no manual server configuration — ever.

Load testing before launch

We run realistic load tests against staging environments to find bottlenecks before users do. Connection pools, query plans, and cache hit rates are all validated under pressure.

Stack

Technology stack

Modern backend and infrastructure tools chosen for performance, type safety, and operational maturity.

Languages

Node.jsPythonGoRustTypeScript

Frameworks

ExpressFastifyFastAPIGintRPC

Database

PostgreSQLMongoDBRedisDynamoDBClickHouse

Message Queue

KafkaRabbitMQSQSRedis Streams

Real-Time

WebSocketSocket.IOWebRTCServer-Sent Events

Infrastructure

AWSGCPDockerKubernetesTerraform

CI/CD

GitHub ActionsArgoCDHelmDocker Compose

Need backend infrastructure that holds up?

Tell us about your system requirements — we'll design the architecture and deployment strategy.