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Backend Architecture

Scalable, fault-tolerant backend systems with APIs, microservices, message queues, and full observability — built to handle 10× your current load.

Overview

What We Deliver

Your backend is the engine room. We design and build systems that handle real traffic, fail gracefully, and give your engineers the observability they need to debug production at 3am. From monolithic APIs to event-driven microservices, we match the architecture to your actual problem — not the hype cycle.

Every backend ships with automated tests, load tests, CI/CD, structured logging, metrics dashboards, and runbooks for the most common failure modes.

What's Included

Every Detail, Covered

API Design

REST, GraphQL, or gRPC with OpenAPI contracts, versioning, and typed clients.

Microservices

Service boundaries drawn around real domains, not org charts. Contract-tested.

Message Queues

Async workflows with Kafka, RabbitMQ, or SQS for durability and backpressure.

Caching Strategy

Multi-layer caching with Redis, CDN edge caches, and invalidation you can trust.

Background Jobs

Scheduled jobs, retries, dead-letter queues, and idempotent workers.

Observability

Structured logs, traces, metrics, and alerts wired into your on-call tool of choice.

Our Process

Step-by-Step Execution

01

Requirements & Constraints

Traffic profile, latency targets, consistency needs, budget, and team skills — captured in a written RFC.

02

Architecture Design

C4 diagrams, service boundaries, data flow, and failure modes reviewed with your team.

03

Schema & Contracts

Database schemas, API contracts, and event schemas locked before implementation starts.

04

Implementation

TDD-friendly codebases with integration tests against real infrastructure, not mocks.

05

Load & Chaos Testing

We break the system before production does. k6 load tests and chaos drills documented.

06

Deploy & Runbooks

Zero-downtime deploy, dashboards, on-call runbooks, and an incident response playbook.

Deliverables

What You'll Receive

Tech Stack

Tools of the Trade

Node.js Go Python PostgreSQL Redis RabbitMQ Kafka gRPC
Typical Timeline

From Kickoff to Launch

Weeks 1–2

Design

RFC, architecture, schemas.

Weeks 3–4

Scaffold

Repos, CI, base services.

Weeks 5–10

Build

Implement, test, iterate.

Weeks 11–12

Harden

Load test, deploy, runbooks.

FAQ

Common Questions

Monolith or microservices?

We start with the simplest architecture that satisfies your requirements. Usually a modular monolith — we split into services only when team size and scale demand it.

Do you help migrate legacy backends?

Yes. Strangler-fig migrations, database splits, and API contract layers are some of our most common engagements.

What observability stack do you use?

Typically OpenTelemetry with Datadog, Grafana, or Honeycomb — we integrate with whatever you already use.

Ready to scale your backend?

Book a free discovery call. We'll send a written scope, fixed price, and timeline within 3 business days.

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