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DevOps Intermediate

What is Observability?

The ability to understand a system's internal state from its external outputs through metrics, logs, and traces.

Observability rests on three pillars: Metrics (numerical measurements over time โ€” CPU, request rate, error rate), Logs (discrete events with context โ€” error messages, audit trails), and Traces (request flow across services โ€” distributed tracing).

OpenTelemetry is the emerging standard for instrumentation. Tools include Prometheus (metrics), ELK/Loki (logs), Jaeger/Zipkin (traces), and Datadog/New Relic (all-in-one). Observability goes beyond monitoring โ€” it helps answer questions you did not anticipate.

Related Terms

Ansible
An agentless automation tool for configuration management, application deployment, and task automation using YAML playbooks.
CI/CD
Continuous Integration and Continuous Deployment โ€” automated practices for building, testing, and deploying code changes.
Immutable Deployment
A deployment strategy where new versions replace existing instances entirely rather than updating them in place.
Container Registry
A storage and distribution service for container images, similar to a package repository but for Docker images.
ELK Stack
A popular log management platform combining Elasticsearch (search), Logstash (processing), and Kibana (visualization).
Semantic Versioning
A versioning scheme using MAJOR.MINOR.PATCH numbers that communicates the nature of changes in each release.
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