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Monitoring & SRE1 min read

The 5 Whys root cause technique

Repeatedly ask why to move from symptom to systemic cause, stop at an actionable systemic fix.

Monitoring & SRE1 min read

Essential sections of a post-mortem

Summary, impact, timeline, root cause, lessons, and owned action items, each with a clear purpose.

Monitoring & SRE1 min read

Designing a safe chaos engineering exercise

Form a hypothesis, define steady state and blast radius, inject failure, observe response, with abort and rollback safeguards.

Monitoring & SRE1 min read

Architecting a single source of truth for incidents

One curated view overlaying golden metrics, deploy/change events, and active alerts on a shared timeline, fed by standardized telemetry.

Monitoring & SRE1 min read

Technical investments to reduce MTTR

Cut detection, diagnosis, and recovery time via observability, runbooks/automation, fast rollback, and resilient architecture.

Monitoring & SRE1 min read

Conducting a blameless post-mortem in practice

Focus on systems not individuals, assume good intent, use neutral language and facilitation, end with owned action items.

Monitoring & SRE1 min read

Fast rollback versus targeted fix in an incident

Weigh time-to-recovery and blast radius against rollback side effects; prefer restoring service fast, gated by data like deploy diff and migration risk.

Monitoring & SRE1 min read

Designing a SEV1-SEV4 severity matrix

Tie levels to user impact, scope, and SLO burn with concrete thresholds; map each to response and escalation.

Monitoring & SRE1 min read

Primary goal and sections of a post-mortem

Goal is organizational learning and prevention, not blame; include summary, timeline, impact, root cause, action items.

Monitoring & SRE1 min read

Triaging a 5xx error spike

Confirm impact and scope, declare and assign roles, check recent changes, stop the bleeding before root cause.

Monitoring & SRE1 min read

Alert silencing versus alert inhibition

Silencing mutes by matcher for a window, inhibition suppresses lower alerts when a higher one fires, dependency-aware.

Monitoring & SRE2 min read

Catching rare intermittent failures

Add high-cardinality traces and structured logs with exemplars, use tail-based sampling to keep failing traces, and alert on SLO burn rather than coarse averages.

Monitoring & SRE1 min read

Measuring on-call health quantitatively

Track pages per shift especially off-hours, actionability rate, time-to-resolve, and load distribution; use trends to prioritize reliability work and protect against burnout.

Monitoring & SRE1 min read

Designing an escalation policy

Define timeout-based escalation tiers, multiple notification channels, secondary and management layers, coverage across time zones, and severity-based routing.

Monitoring & SRE1 min read

Anatomy of an effective runbook

Alert meaning and impact, diagnostic steps with dashboard and query links, concrete remediation with rollback, and escalation contacts.

Monitoring & SRE2 min read

SLO-based alerting and error budgets

Define SLI/SLO, derive an error budget, alert on how fast you burn it using multi-window multi-burn-rate rules so fast burns page and slow burns ticket.

Monitoring & SRE1 min read

Fixing a noisy non-actionable alert

Review the data to see if it is ever actionable, then tune threshold or duration, re-target at user-facing symptoms, or delete it.

Monitoring & SRE1 min read

First steps on a p99 latency page

Confirm scope and blast radius, check recent changes and deploys, then look at dependencies and resource saturation.

Monitoring & SRE1 min read

Symptom-based versus cause-based alerting

Symptom alerts fire on user impact like high error rate or latency; cause alerts fire on internal conditions like high CPU. Page on symptoms, treat causes as diagnostic.

Monitoring & SRE1 min read

Loki versus Elasticsearch for logs

Loki indexes only labels and stores raw log chunks, cheap but needs label-scoped brute-force search; Elasticsearch full-text indexes content, fast arbitrary search but costly to store…