Serge Skoredin
Blog about Go, backend development, AI and modern technologies. Practical tips, tutorials and IT news.
GoPerformance / optimizationDistributed systems / cloudDevOps / SRE / infrastructure
- Posts
- 62 from 25 Jul 2025 to 17 Sep 2026
- Posting
- weekly (25 in the last year)
- Kind
- personal blog
- Feed
- https://skoredin.pro/rss.xml
2026 9
- Observability in Go: What Goes in a Metric, a Log, and a Trace
- Observability in Go: What Goes in a Metric, a Log, and a Trace
- Writing Cache-Friendly Go: Data Layout, False Sharing, and Memory Access
- Cutting JSON Parsing CPU Cost in Go
- Cutting JSON Parsing CPU Cost in Go
- SQL vs NoSQL vs Columnar: Choosing the Right Database for Your Go Service
- SQL vs NoSQL vs Columnar: Choosing the Right Database for Your Go Service
- Hexagonal Architecture in Go: Why Your "Clean" Code Is Actually a Mess
- Hexagonal Architecture in Go: Why Your "Clean" Code Is Actually a Mess
2025 53
- Finding and Fixing a 50,000 Goroutine Leak That Nearly Killed Production
- Finding and Fixing a 50,000 Goroutine Leak That Nearly Killed Production
- gRPC Streaming: Real-Time Communication That Actually Works
- gRPC Streaming: Real-Time Communication That Actually Works
- Production GraphQL Server in Go: Complete Guide
- Production GraphQL Server in Go: Complete Guide
- gRPC Gateway and REST API Bridge: Unified API Layer
- gRPC Gateway and REST API Bridge: Unified API Layer
- Building a Plugin System in Go: Make Your Monolith Extensible Without Microservices
- Building a Plugin System in Go: Make Your Monolith Extensible Without Microservices
- Go Memory Model Deep Dive: What Every Go Developer Must Know
- Go Memory Model Deep Dive: What Every Go Developer Must Know
- Building Feature Flags System: From Simple Toggles to Complex Rules
- Building Feature Flags System: From Simple Toggles to Complex Rules
- Event Sourcing in Go: From Zero to Production
- Event Sourcing in Go: From Zero to Production
- eBPF and Go in Production: Network Monitoring and Security
- eBPF and Go in Production: Network Monitoring and Security
- Docker for Go Developers: From Zero to Production
- Docker for Go Developers: From Zero to Production
- Ring Cache for High-Frequency Trading in Go: Microsecond-Level Data Access
- Ring Cache for High-Frequency Trading in Go: Microsecond-Level Data Access
- Distributed Tracing in Go: Finding the Needle in the Microservice Haystack
- Distributed Tracing in Go: Finding the Needle in the Microservice Haystack
- ClickHouse Deduplication: Why ReplacingMergeTree is Pain and What to Do About It
- ClickHouse Deduplication: Why ReplacingMergeTree is Pain and What to Do About It
- Distributed Lock Manager in Go: Redis, etcd, and Custom Solutions
- Distributed Lock Manager in Go: Redis, etcd, and Custom Solutions
- Writing Cache-Friendly Go: Data Layout, False Sharing, and Memory Access
- Change Data Capture with Debezium and Go
- Change Data Capture with Debezium and Go
- Kubernetes for Go Developers: Just Enough to Be Dangerous
- Kubernetes for Go Developers: Just Enough to Be Dangerous
- End-to-End Encryption: How Your Messages Stay Private
- End-to-End Encryption: How Your Messages Stay Private
- Building a Web Application Firewall in Go
- Building a Web Application Firewall in Go
- Building DSL in Go: From Simple Rules to Complex Workflows
- Building DSL in Go: From Simple Rules to Complex Workflows
- Microservices in Go: From Idea to Deployment
- Microservices in Go: From Idea to Deployment
- Building a CDN in Go: Edge Computing and Content Delivery
- Building a CDN in Go: Edge Computing and Content Delivery
- Building a Blockchain in Go: From Basics to Production Performance
- Building a Blockchain in Go: From Basics to Production Performance
- API Gateway in Go: From Zero to Production
- API Gateway in Go: From Zero to Production
- AiBsCleaner: Fighting the Performance Crisis in Modern Go Code
- AiBsCleaner: Fighting the Performance Crisis in Modern Go Code
- AI Coding Tools for Go in 2025: What Actually Works
- AI Coding Tools for Go in 2025: What Actually Works
- GPT-4 in Production: Real Implementation Experience
- GPT-4 in Production: Real Implementation Experience