Centralized logging helps you debug faster, scale smarter, and cut through noise. Here's how to get it right from the start.

Learn how to access, filter, and monitor Docker container logs, plus tips for structured logging, rotation, and production-ready setups.

Correlate logs, metrics, and traces faster by using consistent field names and schemas with OpenTelemetry semantic conventions.

Understand how Kubernetes uses replicas to ensure your application stays available, handles traffic spikes, and recovers from pod failures automatically.

Understand how to trace, monitor, and debug LangChain and LangGraph apps using OpenTelemetry, down to chains, tools, tokens, and state flows.

What Docker’s “unhealthy” status means, why it happens, and how to debug failing containers with clarity and control.

Know how to access, troubleshoot, and centralize logs in Docker Swarm for better visibility into your distributed services.

Understand the difference between Prometheus gauges and counters, when to use each, and how to avoid common metric pitfalls.

A technical comparison of 11 log monitoring tools developers use in 2025—features, trade-offs, pricing, and platform compatibility

Understand how Prometheus logging captures structured metrics, improves query performance, and scales observability in production systems.