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
- Building an Internal API Gateway with Docker and Go from Scratch: Routing, Load Balancing, and Circuit Breaker A step-by-step guide to building your own API Gateway with Go and Docker: routing, round-robin load balancing, circuit breaker, and monitoring — no third-party frameworks required.
- Implementing the Saga Pattern in Go Microservices: Orchestration and Choreography with PostgreSQL and Redis A deep dive into the Saga pattern for distributed transactions in Go microservices: orchestration via PostgreSQL and choreography via Redis Streams, with code examples and anti-patterns.
- PostgreSQL Logical Replication in 2026: CDC, Change Streaming, and Microservices Integration A deep dive into PostgreSQL Logical Replication: replication slot architecture, Change Data Capture via pgoutput and Debezium, microservices integration, and CDC implementation in Go.
- Elasticsearch as an Analytics Engine: Aggregations, Dashboards, and a ClickHouse Alternative for Mid-Scale Data A deep dive into Elasticsearch as a full-featured analytics engine in 2026: aggregations, index design, comparison with ClickHouse and PostgreSQL, Kibana integration, and Go/PHP pipelines.
- Profiling and Optimizing Go Services in Production: pprof, trace, and Real-World Cases A comprehensive guide to profiling Go services in production using pprof and runtime/trace: CPU, memory, goroutine leaks, flame graphs, and real optimization cases for high-load systems.
- Dynamic Microservice Configuration in Kubernetes: ConfigMaps, Hot Reload, and a Centralized Config Server A complete guide to managing microservice configuration in Kubernetes: from ConfigMaps to hot reloading without pod restarts and building a centralized Config Server in Go.
- Data Validation and Transformation in Go: Building a Reliable Input Layer for REST APIs Without Frameworks How to properly organize incoming data validation in a Go REST API: separation of concerns, the DTO pattern, custom validators, RFC 7807, and table-driven tests.
- Vector Search in PostgreSQL with pgvector: Semantic Search Without External Services in 2026 A complete guide to pgvector: installation, embedding generation, HNSW indexes, hybrid search, and comparison with Elasticsearch. Practical examples in Go, PHP, and Laravel.
- Building a Multilingual CI/CD Pipeline for a Monorepo with Go and PHP Services in Kubernetes A practical guide to building a CI/CD pipeline for a monorepo with Go and PHP services: path filtering, parallel builds, Helm deployment to Kubernetes, and secrets management.
- Building a GraphQL Gateway in Go on Top of Existing REST APIs: Architecture and Practice How to build a GraphQL gateway in Go that aggregates data from REST API microservices without rewriting them: gqlgen, DataLoader, Redis, Kubernetes, and monitoring.
- Redis as an Event Broker: Pub/Sub and Streams Patterns for Microservices Without Kafka A deep dive into Redis Pub/Sub and Redis Streams as a Kafka alternative for event-driven microservices in 2026: mechanics, comparison, Go code examples, and real-world use cases.
- Horizontal Scaling of Go Services in Kubernetes: From HPA Configuration to Custom Metrics A comprehensive guide to horizontal scaling of Go microservices in Kubernetes: HPA, custom metrics via Prometheus Adapter, KEDA, resource management, and common production pitfalls.
- Testing Go Microservices in 2026: Test Pyramid, Mocks, and Integration Tests with Docker A complete guide to testing Go microservices: unit tests, mocks with mockery, integration tests with testcontainers-go, Docker, CI/CD pipelines, and common anti-patterns to avoid.
- Building a Reliable Data Pipeline with Go, PostgreSQL, and Elasticsearch: From Raw Data to Real-Time Search A practical guide to building a data pipeline with Go, PostgreSQL, and Elasticsearch: CDC, logical replication, batch indexing, delivery guarantees, and Kubernetes deployment.
- The Strangler Fig Pattern in Practice: Gradually Migrating a PHP Monolith to Microservices via REST API How to apply the Strangler Fig pattern to migrate a PHP monolith to microservices: mapping service boundaries, configuring an API Gateway, splitting the database, and a real case of extracting authentication from Laravel into Go.
- Elasticsearch in 2026: Building Smart Search for High-Load REST APIs in Go A practical guide to integrating Elasticsearch with a Go REST API: client setup, index design, full-text search, aggregations, performance optimization, and Docker deployment.
- Building a Fault-Tolerant Queue System with Redis Streams and Kubernetes: Scaling Workers Under Load A practical guide to designing a fault-tolerant queue on Redis Streams with horizontal scaling of Go workers in Kubernetes, HPA based on custom metrics, and monitoring.
- Building an Internal Developer CLI in Go for Kubernetes Environment Management: From Idea to Distribution A practical guide to building an internal CLI tool in Go with Cobra and client-go for managing Kubernetes environments: architecture, commands, CI/CD integration, secrets handling, and distribution.
- Implementing CQRS in Go with PostgreSQL and Redis: Separating Commands and Queries in High-Load Services A practical guide to implementing the CQRS pattern in Go: write side with PostgreSQL, read side with Redis, event-driven synchronization, testing, and Docker deployment.
- 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.