observability
Practical resources about observability for software engineers.
46 results
Understanding Production Systems
You cannot fix what you cannot see. Observability combines metrics, logs, and traces into a coherent picture of system health. It is the difference between reactive firefighting and proactive capacity planning.
These resources cover structured logging with JSON, Prometheus metric collection, Grafana dashboard design, distributed tracing with OpenTelemetry, and alerting strategies. Learn how to reduce mean time to detection and resolution in production environments.
Correlation ID: Trace Requests Across Distributed Services
How to propagate correlation IDs across service boundaries for end-to-end request tracing. Covers...
Distributed Tracing: Propagate Trace Context Across Services
How to propagate trace context across service boundaries with OpenTelemetry. Covers span creation,...
Health Check Pattern: Expose Liveness and Readiness Probes
How to implement liveness and readiness probes for container orchestration. Covers Kubernetes...
Metrics Aggregation: Collect, Tag
How to collect, tag, and aggregate business metrics for observability. Covers Prometheus,...
Structured Logging: Emit JSON Logs with Consistent Fields
How to emit structured JSON logs with consistent fields for searchability. Covers Python structlog,...
Logging Standards Document
A document template for defining structured logging conventions, log levels, retention, and...
Monitoring and Alerting Policy Template
A policy template that defines how alerts are configured, routed, escalated, and reviewed across...
Postmortem Incident Review Template
A blameless postmortem template for analyzing incidents, identifying root causes, and documenting...
Service Level Objective (SLO) Template
A template for defining reliability targets, error budgets, and measurement methods for services...
Complete Guide to Monitoring and Alerting
Build a production monitoring stack. Covers Prometheus, Grafana, AlertManager, metrics...
Observability — Metrics, Logs, and Traces Complete Guide
A practical guide to observability: the three pillars (metrics, logs, traces), implementing with...
OpenTelemetry — Implementation Guide for Metrics, Logs
A practical guide to OpenTelemetry: instrumentation, collectors, exporters, and wiring OTLP to...
Site Reliability Engineering
A practical guide to SRE: defining SLIs, SLOs, and SLAs, managing error budgets, toil reduction,...
Complete Guide to Apache Kafka in Production
Run Apache Kafka in production with confidence. Covers partitions, replication, consumer groups,...
Alert Management: On-Call Alerting That Works
A practical guide to alert management: reducing alert fatigue, defining severity levels, escalation...
Distributed Tracing: OpenTelemetry, Jaeger, Zipkin
Master distributed tracing with OpenTelemetry, Jaeger, and Zipkin. Trace propagation across...
Complete Guide to Observability with the Grafana Stack
Set up metrics, logs, and traces with Grafana, Prometheus, Loki, and Tempo. Covers instrumentation,...
Prometheus and Grafana: Metrics, Dashboards, Alerting
Master Prometheus metrics collection and Grafana dashboards. Covers metric types, PromQL, service...
Sentry: Error Tracking, Triage, and Resolution
Master Sentry for production error tracking. Covers SDK integration in Python, Node.js, Java,...
Structured Logging: JSON Logs, Correlation IDs, Aggregation
Master structured logging with JSON format, correlation IDs, log levels, and aggregation. Covers...
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