How-To
Observability logs: preserve the events an investigation needs
Design logs around useful events, searchable context, and a collection path whose failures are visible.
Articles
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AIOps
Build an AIOps business case around one operational bottleneck
Connect an AIOps investment to a measurable workflow, its full operating cost, and the evidence needed to expand or stop the trial.
How-To
Design an on-call rotation people can actually support
Define coverage, escalation, training, and recovery time before assigning the calendar. Review workload as well as shift counts.
SRE
SRE runbook template: diagnosis, bounded action, and recovery
Download a Markdown runbook template and follow a database connection example that separates symptoms, mitigation decisions, and verified recovery.
How-To
Containers and orchestration: understand what the platform guarantees
Containers package processes; orchestration reconciles desired state. Reliability still depends on probes, capacity, dependencies, and application behavior.
SRE
Turn postmortem lessons into changes you can verify
Translate incident findings into funded changes with an owner, a test, and evidence that the relevant failure mode became less likely or less costly.
Leadership & Culture
Protecting time off means changing the SRE workload
Protect time away through explicit coverage, recovery policies, and realistic planning instead of relying on individual boundary-setting alone.
Leadership & Culture
On-call overload: respond to the workload before it becomes normal
Use interruption patterns and responder feedback to change paging, coverage, and recovery expectations when on-call work becomes unsustainable.
Leadership & Culture
The reliability decisions an SRE leader must make
Give teams clear service ownership, decision authority, and capacity to act on reliability evidence before the next incident.
AIOps
Observability With AIOps: A Practical Evaluation Guide
Use AIOps to connect operational evidence, then test whether it improves investigation without hiding missing signals or unsupported conclusions.
AIOps
AIOps anomaly detection: unusual does not always mean actionable
Choose a baseline, evaluate false positives and missed incidents, and connect anomalies to an operational decision before paging on them.
How-To
Distributed tracing: choose the first request path to instrument
Start tracing with a customer-critical path, then test propagation, sampling, and whether the trace supports a real investigation.