Posts for: #Microservices

The Sidecar Pattern and Service Mesh

Every team writes the same retry logic. The same circuit breaker boilerplate. The same mTLS handshake setup. The platform team changes the retry policy and now has to update 30 services. There’s a better way. The Sidecar Pattern A sidecar is a separate process running in the same pod as your service. It intercepts all network traffic in and out. Your service code is unchanged. The sidecar handles retries, timeouts, circuit breaking, load balancing, and observability.
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Service Discovery

Your service starts. It gets an IP. Three days later it restarts and gets a different IP. Every service that had the old IP hardcoded is now broken. This is why you need service discovery. The Problem With Static Config In a small system, hardcoding IPs in config files works. Then you move to containers. Containers restart, scale up, scale down. IPs change constantly. You need a way for services to find each other without knowing addresses in advance.
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API Gateway Patterns

You have 12 microservices. Every mobile client talks to all 12. Each service handles its own auth, its own rate limiting, its own CORS. Adding a 13th service means updating every client app. The gateway pattern fixes that. What a Gateway Does An API gateway sits between clients and your services. Clients make one call. The gateway routes it, authenticates the caller, applies rate limits, then proxies to the right service.
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