Lesson 1
Testing ends where observability begins
A test may prove one path in one environment. Production telemetry proves how systems behave under real load and data.
All learning tracks
CI/CD, Observability & Release EngineeringPractical 75 min
Observability for Testers
Use logs, metrics, traces and correlation IDs to test systems more intelligently and debug production behaviour faster.
LogsMetricsTracing
Learning outcomes
Use telemetry as test evidence
Trace requests across services
Define observable acceptance criteria
Guided lessons
Learn the engineering thinking
Lesson 2
Logs with context
Useful logs include identifiers, state and outcomes rather than generic error text.
Lesson 3
Metrics and service health
Latency, error rate, throughput and saturation show whether a release behaves safely at scale.
Lesson 4
Distributed tracing
Trace IDs connect one business request across services and dependencies.
Lesson 5
Observable requirements
Include telemetry expectations in design so failures can be diagnosed after deployment.
Hands-on practice
Do something with what you learned
Do not just tick these mentally. Write the query, create the test matrix, refactor the code, or document the decision. Practical evidence is the point.