14 posts · page 1 of 1
Set up centralized log aggregation with Elasticsearch, Logstash, and Kibana. Learn to collect, parse, and visualize logs from multiple services in one dashboard.
Understand the three pillars of observability. Learn how logs, metrics, and distributed traces work together to give you full visibility into production systems.
Set up centralized Kubernetes logging with Fluent Bit, Elasticsearch, and Kibana. Covers DaemonSets, parsers, filters, and production tuning.
Replace unstructured log lines with structured JSON logging. Covers log levels, correlation IDs, context propagation, and integration with observability tools.
Configure Docker logging drivers to route container logs to files, syslog, or centralized systems. Includes monitoring with Prometheus and cAdvisor.
Build custom FastAPI middleware for request logging, CORS handling, authentication checks, and performance monitoring.
Set up fast structured logging in Node.js using Pino. Covers log levels, child loggers, request tracing, and production configuration.
Move beyond print-style logging. Learn structured logging with structlog, correlation IDs, context binding, and integrating with observability tools.
Design a centralized logging system like the ELK stack. Covers log collection, structured ingestion, indexing, retention policies, and querying terabytes of logs efficiently.
Learn Go's slog package for structured, leveled logging with JSON output, custom handlers, and context-aware log enrichment.
A tour of the modern observability stack: metrics, logs, traces, and events. Learn how the pillars fit together and how to choose tooling without drowning in dashboards.
Master systemd's journal: query logs with structured filters, tail in real time, persist across reboots, and forward to a central collector.
Set up structured, high-performance logging in Node.js with Pino, including child loggers, redaction, and pretty-printing for development.
How to set up Python logging properly: loggers vs handlers, structured logs, contextual fields, log levels that scale, and how to avoid the classic print-debug trap.