Observability
Instrumenting, measuring, and debugging production systems — metrics, logs, traces, SLOs, alerting, and the operational practice built on top of them.
Metrics
- Metric Types & Instrumentation planned target deep top
- Histograms, Percentiles & Latency Analysis planned target deep top
- Cardinality Management planned target working high
Logs & Traces
- Structured Logging planned target working high
- Logging Pipelines & Retention planned target working mid
- Distributed Tracing planned target working high
- Trace Sampling Strategies planned target overview mid
- OpenTelemetry & Instrumentation Strategy planned target working mid
Reliability Engineering
-
SLIs, SLOs & Error Budgets
budding
working of working
top
An SLI measures a user-relevant service outcome, an SLO sets the acceptable target over a window, and the error budget turns the permitted gap from perfection into an operational decision rule. Correct use requires explicit populations, thresholds, measurement points, and policy.
- Alerting Design planned target deep top
- Incident Response & Postmortems planned target working high
Production Analysis
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Service Dependency Maps & Impact Analysis
budding
working of working
high
A service dependency map is a time-bounded, typed graph that connects user-facing services to calls, data stores, compute, and network paths. It constrains blast-radius and root-cause reasoning, but topology alone never proves causality.
- Continuous Profiling planned target working high
- Dashboard Design planned target working mid
- Health Checks & Synthetic Monitoring planned target overview low