Advanced System design concept · Real Systems & Production Thinking · 37 mins read
Observability & Monitoring
Make production behavior visible so issues can be detected and fixed fast.
Logs
Detailed records of what happened inside the system.
Intuition
Dashboards tell you something is wrong, but not which payload or code path caused it. Logs capture the detailed trail of what happened inside the system. Detailed records of what happened inside the system.
Mental Model
Use them for concrete failure investigation, audits, edge cases, and request-level debugging where full context matters.
Examples
- Use them for concrete failure investigation, audits, edge cases, and request-level debugging where full context matters.
When to Avoid
Logs are rich but noisy and expensive at scale, so they are poor primary alert signals. Structure and sample them so they're searchable instead of overwhelming.
Metrics
Aggregated signals that show system health over time.
This section is part of the full PRISM roadmap, with worked examples, trade-off tables, interview questions and a quiz.
Unlock the full lessonTracing
Follow one request across multiple services and dependencies.
This section is part of the full PRISM roadmap, with worked examples, trade-off tables, interview questions and a quiz.
Unlock the full lessonPractice observability & monitoring in PRISM
Concepts stick when you watch them fail. Build an architecture that depends on observability & monitoring, push traffic through it in the PRISM simulator, and see the latency and error rates change as you adjust the design.