Microservices Observability with OpenTelemetry
Implementing distributed tracing and metrics collection across microservices using OpenTelemetry, Jaeger, and Prometheus.
🏷️ microservices
19 posts
Scaling Microservices to 10K RPS with Kubernetes - A Production Journey
How we scaled our microservices architecture from 500 to 10,000 requests per second using Kubernetes, including real metrics, challenges, and lessons learned.
GraphQL Federation - Building a Unified API Gateway
Implementing GraphQL Federation to unify 15+ microservices into a single API gateway, improving developer experience and performance.
Kubernetes Production Deployment - Lessons from Managing 50+ Microservices
Real-world lessons from deploying and managing 50+ microservices on Kubernetes, including scaling, monitoring, and disaster recovery.
Building High-Performance Microservices with Go and gRPC
Migrated from REST to gRPC microservices in Go - latency 100ms → 5ms (95% reduction), throughput 10x higher
Building a High-Performance API Gateway with Kong
Built API gateway with Kong - rate limiting, authentication, caching. Handles 50K req/s, reduced backend load by 70%
Implementing Service Mesh with Istio: Traffic Management and Observability
Deployed Istio service mesh - zero-downtime deployments, automatic retries, distributed tracing. MTTR reduced by 70%
Microservices Configuration Management: Consul vs etcd in Production
Managing configuration for 30+ microservices - comparing Consul and etcd, implementing dynamic config updates, and achieving 99.99% uptime
Go Error Handling: Patterns from 3 Years of Production Code
Practical error handling patterns in Go, including wrapping, custom errors, and strategies for building robust microservices
Evaluating Service Mesh: Istio vs Linkerd for Microservices
Testing Istio and Linkerd to solve microservices networking challenges - traffic management, security, and observability
Istio Service Mesh: Is It Worth the Complexity?
Evaluating Istio service mesh for Kubernetes - features, benefits, and whether the added complexity is worth it.
Circuit Breaker Pattern: Preventing Cascading Failures in Microservices
Implementing circuit breakers with resilience4j - protecting services from cascading failures and reducing recovery time from 30 minutes to 30 seconds
Distributed Tracing with Jaeger: Finding the Needle in the Microservices Haystack
Implementing Jaeger for distributed tracing - tracking requests across 20 microservices and reducing debugging time from hours to minutes
Go Context Patterns: Lessons from Production
Real-world patterns for using context.Context in Go microservices, including cancellation, timeouts, and request-scoped values
Distributed Tracing with Zipkin: Debugging Microservices
Implementing distributed tracing across our microservices to debug performance issues and understand request flows
Building Microservices with Go: Lessons from the Trenches
Practical lessons from building and deploying Go microservices in production over the past year.
RESTful API Design for Microservices
Lessons learned designing APIs for microservices, including versioning, error handling, and documentation strategies
Getting Started with Prometheus: Monitoring Our Microservices
Setting up Prometheus to monitor 5 microservices - metrics collection, alerting, and our first production incident caught by monitoring
Building Microservices with Python and Flask
My first experience building a microservice architecture using Python Flask, moving away from a monolithic Django application