Technology
Application Insights monitoring, telemetry, dependency tracking, traces, and production diagnostics.
Practice items tagged with Application Insights.
Explains dependency duration, error rate, timeout rate, query tagging, Redis latency, HTTP downstream calls, and endpoint correlation.
Reason through mitigation choices during a live App Service production incident.
Compares rollback, roll-forward, feature kill switches, scaling, and degraded mode as incident mitigations.
Chooses a deployment strategy from capacity, compatibility, risk, observability, and rollback needs, then defines progressive promotion and abort signals.
Compares vendor-neutral OpenTelemetry concepts with Application Insights usage for .NET production services.
Explains sampling, high-cardinality labels, retention, cost, and keeping enough signal for incident diagnosis.
Preparation paths where this taxonomy appears in the track scope.
Logs, metrics, traces, alerts, triage, mitigation, and post-incident learning.
A practical production-ownership track covering observability foundations, correlation IDs, structured logs, dependency telemetry, OpenTelemetry, health checks, sampling, incident triage, slow API diagnosis, post-release failures, downstream dependency incidents, missing logs, queue backlogs, auth failures, SLO alerts, dashboards, release correlation, mitigation choices, post-incident reviews, runbooks, and capacity/backpressure signals.
CI/CD, source control, deployment, release management, and production operations.
A focused DevOps track covering Git workflow, CI/CD pipelines, containers, infrastructure as code, deployment safety, progressive delivery, supply-chain security, disaster recovery, release management, observability, and operational ownership.