Monitoring

Redis is easy to start with and hard to run well at scale. This tutorial covers the practices that keep Redis fast, reliable, and secure in production. Key Naming Conventions Consistent key names make debugging and management much easier. Use colons as separators: app:entity:identifier:field Examples: user:1001:profile session:abc123 cache:product:5:details rate:api:user:1001 lock:order:processing:42 Rules: Use lowercase Prefer colons over dots or hyphens (Redis treats colons as namespace separators in RedisInsight) Keep keys short — they add up in memory Include a TTL on anything that should expire Memory Optimization Redis stores everything in RAM. Know what you are using: ...

Your Kubernetes app is running. But is it healthy? Is it slow? Are any Pods crashing? How much memory is it using? Without monitoring, you find out about problems when users complain. With monitoring, you know before they do. The industry standard for Kubernetes monitoring is Prometheus + Grafana. Prometheus collects and stores metrics. Grafana visualizes them in dashboards. The Observability Stack Observability has three pillars: Metrics — numbers over time (CPU usage, request count, error rate) Logs — what happened and when (application output, events) Traces — how a request flows through multiple services This tutorial focuses on metrics with Prometheus and Grafana. Logging (Fluent Bit) and tracing (OpenTelemetry + Jaeger) are separate topics. ...