Guides

Walkthroughs for observability, incident response and AI-assisted operations.

AIOps fundamentals

Start with what AI can do for operations, and where judgment still matters.

Make metrics, logs and traces work together.

Build an incident response practice that learns.

Instructions, examples and implementation notes.

Connect an AIOps investment to a measurable workflow, its full operating cost, and the evidence needed to expand or stop the trial.

September 29, 20233 min read

Define coverage, escalation, training, and recovery time before assigning the calendar. Review workload as well as shift counts.

September 29, 20233 min read

Download a Markdown runbook template and follow a database connection example that separates symptoms, mitigation decisions, and verified recovery.

September 29, 20234 min read

Translate incident findings into funded changes with an owner, a test, and evidence that the relevant failure mode became less likely or less costly.

September 29, 20233 min read

Use AIOps to connect operational evidence, then test whether it improves investigation without hiding missing signals or unsupported conclusions.

September 28, 20234 min read

Start tracing with a customer-critical path, then test propagation, sampling, and whether the trace supports a real investigation.

September 28, 20233 min read

Build a ticket-routing evaluation around real ownership, uncertain cases, and correction cost. Start with an honest baseline before adding a model.

September 28, 20233 min read

Use the free SRE books as references for a concrete service problem, then adapt and test the practices against your own constraints.

September 18, 20233 min read