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AIOps

AI in production: tools, operating patterns, costs, and failure modes.

Small, useful examples for everyday engineering work.

Practical methods you can take back to your team.

The human side of reliable systems: leadership, teamwork, and sustainable on-call.

Understand what your systems are telling you, and what they are not.

Reliability engineering, from service objectives to operational judgment.

Understand the technology before you put it into production.

Working starting points for repeatable, reliable operations.

Build a working environment that supports people as well as systems.

Current developments in AI operations, observability, and infrastructure, examined through their consequences for reliability teams.