Technology
Go
A language for high-performance services and microservices: concurrency via goroutines, low latency, simple deployment.
About the technology
I have used Go for five years where performance, low memory consumption and predictable latency under high load are critical. The language is deliberately minimalist, and that simplicity is its strength: the code is easy to read, review and maintain as a team, and the barrier to entry for new developers is low. The main thing I value about Go is its built-in concurrency model based on goroutines and channels. Thousands of lightweight goroutines let you serve a huge number of simultaneous connections with minimal overhead, while channels and the sync package provide clear synchronization primitives. I design concurrent code carefully: I use contexts (context.Context) for cancellation and timeouts, errgroup to manage groups of goroutines, watch for races with the built-in -race detector, and avoid goroutine leaks. In Go I have written high-load HTTP and gRPC services, gateways, event-stream handlers from Kafka and NATS, background workers and command-line utilities. Static compilation into a single binary with no external dependencies radically simplifies delivery: the container is tiny, startup is instant, and deployment to Kubernetes is trivial. Strict typing, explicit error handling and the absence of hidden magic make service behavior predictable in production. I follow the idiomatic style, format code with gofmt, check it with golangci-lint, and organize the project on clean-architecture principles with layer separation and dependency inversion through interfaces. Testing is an integral part: I write table-driven tests, benchmarks for hot paths, and use pprof profiling to find CPU and memory bottlenecks. For observability I add structured logging, Prometheus metrics and OpenTelemetry tracing. Paired with PHP/Laravel, Go perfectly covers tasks that need maximum throughput and minimal latency: I move the performance-critical parts of the system into it, leaving product logic in the more expressive PHP ecosystem. This division gives the best of both worlds.
Experience
Projects using this technology
There are no published projects with this technology yet. See all projects.
Articles
- eBPF and Observability in Kubernetes: Deep Microservice Monitoring Without Code Changes How eBPF transforms observability in Kubernetes: syscall tracing, network monitoring, and Go microservice profiling without sidecar agents or code modifications.
- Building a Reliable PostgreSQL Job Queue: SKIP LOCKED, Partitioning, and Monitoring Without Redis How to implement a production-ready PostgreSQL job queue with SKIP LOCKED, partitioning, Go and Laravel workers, Grafana monitoring, and Kubernetes deployment — no Redis required.
- Canary Deployment on Kubernetes with Automatic Rollback via CI/CD and Prometheus Metrics A detailed guide to canary deployment on Kubernetes: architecture, YAML manifests, GitHub Actions integration, Prometheus monitoring, and automatic rollback on error rate spikes.
- Securing Microservices: JWT, mTLS, and Centralized Authorization via REST API in Kubernetes A comprehensive guide to microservice security: JWT authentication, mTLS between services, Open Policy Agent, and certificate management in Kubernetes for Go and Laravel.
- Kubernetes Operators in Go: Automating Custom Resource Management in 2026 A complete guide to building Kubernetes Operators in Go with kubebuilder and controller-runtime: CRDs, reconciliation loop, PostgreSQL operator, testing, and deployment.
- Go Worker Pool and Concurrent Task Processing: Patterns for High-Load Systems An in-depth look at worker pool patterns in Go: from basic implementation to dynamic scaling, graceful shutdown, PostgreSQL integration, and monitoring with Prometheus.
- PostgreSQL Connection Pooling in 2026: PgBouncer, pgpool-II, and Built-in Mechanisms Under Load An in-depth technical breakdown of PostgreSQL connection pooling: PgBouncer, pgpool-II, built-in pools in pgx and Laravel, sidecar deployment in Kubernetes, benchmarks, and diagnostics.
- Rate Limiting and REST API Protection: Redis-Based Strategies with Go and Laravel Examples Exploring rate limiting algorithms for REST APIs, implementing Sliding Window and Token Bucket with Redis in Go and Laravel, and solving distributed rate limiting in Kubernetes.
- Optimizing Docker Images for Go: Multi-Stage Builds, Distroless, and Minimal Attack Surface A complete guide to building minimal, secure Docker images for Go applications: multi-stage builds, distroless, BuildKit, Trivy, and a production-ready checklist.
- Building a Developer Platform on Kubernetes: An Internal PaaS for Engineering Teams How to build an Internal Developer Platform on Kubernetes: Backstage, Crossplane, ArgoCD, preview environments, and DORA metrics. A practical guide for platform engineers.
- PostgreSQL JSONB in 2026: When a Relational Database Replaces MongoDB A deep dive into PostgreSQL JSONB as a MongoDB alternative: indexes, operators, performance, Laravel and Go integration, and an honest look at the limitations.
- Chaos Engineering for Go Microservices: How to Intentionally Break Your System to Make It More Reliable Exploring Chaos Engineering for Go microservices in Kubernetes: Chaos Mesh and LitmusChaos tools, failure scenarios, circuit breaker patterns, CI/CD integration, and observability metrics.
- Service Mesh Without Istio: Building a Service Network in Go with Envoy and Kubernetes A practical guide to building a service mesh in Go with Envoy and Kubernetes without Istio: sidecar configurations, mTLS, tracing, metrics, and a comparison with Linkerd and Cilium.
- Building a High-Performance REST API in Go with Fiber: Routing, Middleware, and Docker Deployment A complete guide to building a high-performance REST API in Go with Fiber: routes, JWT, rate limiting, PostgreSQL, Redis, testing, and Docker deployment.
- Distributed Tracing in Microservices: End-to-End Request Tracing with OpenTelemetry, Jaeger, and Go A practical guide to implementing distributed tracing in Go microservices using OpenTelemetry SDK and Jaeger. Real code examples, integration with Redis, PostgreSQL, REST API, and gRPC.
- Go and PostgreSQL: Advanced Techniques with pgx, Connection Pooling, and Transactions An in-depth guide to working with PostgreSQL in Go: configuring pgxpool, transactions with savepoints, batch queries, custom types, and performance monitoring.
- Building an Event-Driven System in Go with Redis Pub/Sub and PostgreSQL A complete guide to implementing event-driven architecture in Go: Redis Pub/Sub as the event bus, PostgreSQL for audit logging, delivery guarantees, and testing.
- PostgreSQL Full-Text Search vs Elasticsearch: When Built-in Search Is Enough in 2026 A deep dive into PostgreSQL Full-Text Search vs Elasticsearch: architecture, performance, Go and Laravel examples, and a decision matrix for real-world projects.
- CI/CD for Go Microservices: From Commit to Kubernetes in Minutes with GitHub Actions A complete guide to building a CI/CD pipeline for Go microservices: GitHub Actions, Docker, Kubernetes, secrets management, rollback strategies, and DORA metrics.
- Building an API Gateway in Go from Scratch: Routing, Authentication, and Rate Limiting A practical guide to building an API Gateway in Go: routing requests to microservices, JWT authentication, rate limiting with Redis, and deployment to Kubernetes.
- Monitoring and Observability for Go Services: Metrics, Tracing, and Logs in a Unified Ecosystem A complete guide to building an observability stack for Go microservices: Prometheus, OpenTelemetry, structured logging, Grafana, and Kubernetes deployment.
- Secrets and Sensitive Data in Kubernetes: Secure Management with Secrets, Vault, and Sealed-Secrets How to protect sensitive data in a Kubernetes cluster: native Secrets, HashiCorp Vault, sealed-secrets, and External Secrets Operator — practical guides, YAML examples, and a security checklist.
- State Management Patterns in Distributed Systems: Saga, Outbox, and Event Sourcing with PostgreSQL A deep dive into Saga, Transactional Outbox, and Event Sourcing with PostgreSQL: architectural patterns for guaranteed consistency in microservices, with Go code examples.
- gRPC vs REST API: What to Choose for Inter-Service Communication in 2026 A detailed comparison of gRPC and REST API for microservices: architecture, performance, Go examples, Docker and Kubernetes deployment. Practical recommendations for backend developers and architects.
- Redis Streams as a Message Queue Replacement: A Practical Guide with Examples A comprehensive guide to Redis Streams: core concepts, comparison with RabbitMQ and Kafka, Go and Laravel examples, delivery guarantees, scaling, and monitoring.
- Kubernetes in 2026: Autoscaling, HPA, and Resource Management for Go Services A practical guide to configuring HPA, managing requests/limits, and deployment strategies for Go microservices in Kubernetes 2026. YAML manifests, kubectl commands, and a checklist.
- Microservice Architecture in Go: Design, Communication, and Deployment in 2026 A practical guide to building microservices in Go in 2026: architecture, gRPC and REST, Kubernetes deployment, observability, and common pitfalls with code examples.
- Microservices in Go: lessons from production When microservices are justified, how to draw boundaries and why asynchronous events matter more than synchronous calls.