API Design, Microservices, Security

Backend Development

API design, application logic and data integration with explicit validation, access boundaries and error handling.

  • Node.js
  • Go
  • Docker
  • Kubernetes
  • GraphQL
  • REST

01 / The scope

What we
can build.

Architecture Design

Building scalable and resilient systems from the ground up with clean architecture principles.

Performance Optimization

Tuning the code and infrastructure for maximum throughput and minimal latency with advanced caching.

Access & Validation

Implementing industry-standard security protocols including OAuth2, JWT, and data encryption.

02 / The approach

Built with
intention.

APIs with Clear Responsibilities

I build backend services that connect an application’s user journeys to its data and integrations. The starting point is the domain: what must remain consistent, who may perform each action and what should happen when a dependency fails.

A modular application is often a useful starting point. Separate services become appropriate when ownership, deployment or scaling requirements justify the additional operational work.

What We Work Through

  • Define request and response contracts, validation rules and error behavior.
  • Model transactions and access boundaries around the business operation.
  • Integrate authentication while checking authorization at the resource boundary.
  • Review query behavior, connection limits, caching and background jobs using the expected workload.
  • Plan delivery, monitoring and recovery alongside the application.

An order submission, for example, needs more than a successful POST response. We should agree on duplicate handling, inventory consistency, failed payments and what the customer sees while an operation is pending. Those decisions determine the architecture.

Scope and Handover

A backend engagement can include API implementation, database migrations, integration tests, deployment configuration and operational notes. The exact deliverables are selected in the brief; a small API does not automatically need a microservice platform.

Performance and availability targets should state a workload and an environment. I use measurements to guide changes rather than promise a universal response time or incident-free service. Share your current system, important workflows and constraints so we can define the right scope.

03 / How it connects

Microservices Architecture

Illustrative architecture for discussing scope. Components and deployment choices depend on the application’s requirements.

  • inputClient Apps
  • serviceAPI Gateway
  • serviceAuth Service
  • processCore API
  • storageRedis Cache
  • storagePostgreSQL
  • serviceMessage Queue
  • processBackground Workers
  • Client AppsAPI GatewayHTTPS
  • API GatewayAuth ServiceValidate
  • API GatewayCore APIRoute
  • Core APIRedis CacheRead/Write
  • Core APIPostgreSQLPersist
  • Core APIMessage QueuePublish
  • Message QueueBackground WorkersConsume

04 / The process

From brief
to release.

  1. 01

    Discovery & Planning

    Analyzing requirements, defining the scope, and architecting the optimal solution.

  2. 02

    Design & Prototyping

    Creating blueprints, API contracts, and visual prototypes for early validation.

  3. 03

    Development & Testing

    Implementing the agreed behavior with tests for important operations and failure paths.

  4. 04

    Deployment & Scaling

    Automating deployments and monitoring systems for continuous scaling.

05 / The handover

What you
take away.

RESTful/GraphQL APIs

Fully documented, versioned APIs with OpenAPI/GraphQL schemas

Database Design

Normalized schemas with migrations, indexes, and query optimization

Infrastructure as Code

Terraform/Pulumi configurations for reproducible deployments

CI/CD Pipelines

Automated testing, building, and deployment workflows

Monitoring & Alerting

Observability stack with metrics, logs, and traces

In practice

Related work.