Tag: observability
Browse 50 practical software engineering resources tagged with "observability". Discover code recipes, design patterns, documentation templates, and in-depth guides to help you build, deploy, and maintain production-ready solutions involving observability. Each resource is written for engineers who ship real systems, with copy-paste examples and practical trade-offs.
Observability and Monitoring
Observability is the ability to understand a system from its outputs: logs, metrics, and traces. It shifts debugging from guessing to answering concrete questions about behavior, performance, and failures.
The guides and recipes below cover Prometheus, Grafana, OpenTelemetry, structured logging, alerting, and incident correlation. Use them to build systems that reveal their own state when things go wrong.
Every resource includes clear explanations, copy-paste code, and practical warnings. Use them to make informed decisions, avoid production pitfalls, and speed up your delivery. If you are just getting started, read the beginner-friendly articles first; if you are experienced, jump straight to the advanced patterns and architecture guides. New resources are added regularly, so bookmark this page and check back for the latest patterns.
Parse Server Log Files with Python, Java and JavaScript
Parse and analyze server log files with Python, Java, and JavaScript. Covers regex, structured...
Centralize Container Logs with Fluentd and Docker
Collect, filter, and forward Docker container logs to Elasticsearch, S3, or stdout using Fluentd as...
Grafana Dashboards for Observability with Prometheus
Build Grafana dashboards that visualize Prometheus metrics. Use panels, template variables,...
Metrics Collection and Alerting with Prometheus
Instrument applications and infrastructure with Prometheus metrics, configure alerting rules, and...
Expose Custom Application Metrics with Python and Prometheus
Build a custom Prometheus metrics exporter in Python using prometheus_client. Covers counters,...
Distributed Tracing
Trace requests across distributed microservices with OpenTelemetry, Jaeger, and Zipkin for latency...
Custom Health Checks with Spring Boot Actuator
How to implement custom health indicators with Spring Boot Actuator, including database, Redis,...
Expose Metrics with Micrometer and Prometheus
How to expose custom application metrics using Micrometer and Prometheus in Spring Boot, including...
Log Aggregation
Centralize logs from distributed services with ELK, Fluentd, and Loki for search, alerting, and...
Metrics Collection
Collect, aggregate, and expose application and infrastructure metrics with Prometheus, StatsD, and...
High-Performance Logging with pino
How to use pino for fast structured JSON logging in Node.js, including log levels, child loggers,...
Error Tracking with Sentry in Express
How to integrate Sentry for error tracking in Node.js Express applications, including error...
Rotate Logs Daily with Winston
How to configure daily log rotation in Node.js using winston and winston-daily-rotate-file,...
Prometheus API Monitoring
Monitor API performance and health with Prometheus metrics, custom collectors, and alerting rules.
Distributed Tracing with OpenTelemetry
How to implement distributed tracing in Python with OpenTelemetry SDK, including spans, context...
Expose Business Metrics with Prometheus
How to expose custom business metrics in Python using prometheus_client, including counters,...
Structured JSON Logging with structlog
How to emit structured JSON logs in Python using structlog, including context binding, log levels,...
Real User Monitoring
Monitor actual user experiences with Core Web Vitals, session replay, and performance analytics to...
Structured Logging
Implement structured logging with JSON output, correlation IDs, and log aggregation for production...
Health Endpoint Monitoring Pattern
Expose lightweight health endpoints so orchestrators, load balancers, and monitoring tools can...