I will build scalable golang microservices with grpc, graphql, and rest apis

Go is a compiled language, meaning it's significantly faster than interpreted languages like Python. It’s designed for high concurrency using "Goroutines," allowing it to handle thousands of requests per second with much lower memory

Use gRPC for internal service-to-service communication. It uses binary serialization (Protobuf), which is up to 10x faster than JSON. It’s the gold standard for high-performance microservices.

Yes. GraphQL is ideal for frontends needing flexible data. I build Go-based GraphQL servers that allow your app to fetch exactly what it needs in one request, eliminating over-fetching.

Absolutely. All gRPC orders include the service definitions (.proto files) and generated client stubs in Go or your preferred language to ensure seamless integration across your stack.

I follow the "Golang Standards" layout. This ensures your code is modular, testable, and follows SOLID principles, making it easy for your team to maintain and scale in the future.

I use Go’s native connection pooling and implement proper mutexes or channel-based synchronization. This prevents data races and ensures thread safety even under extreme traffic loads.

Yes. Standard and Premium packages include a professional Dockerfile and docker-compose.yaml. Your services will be ready for instant deployment to AWS, GCP, or Kubernetes.

I use idiomatic Go error handling (no silent crashes). Every potential failure is checked and returned, ensuring your system is resilient and easy to debug in a production environment.

Yes. Whether you use React, Vue, or mobile, I provide full API documentation (Swagger/OpenAPI or GraphQL Playground) to ensure your frontend team can connect to the backend effortlessly.

Yes. As an MS Data Engineer, I use pprof profiling and memory analysis to find bottlenecks in your existing Go code, optimizing throughput and reducing server costs.