What AIOps changes in the SRE workflow
Anomaly scores, correlated events and generated summaries provide different kinds of help. Each adds its own review, data and maintenance work.
Articles
Guides, news and explanations about AI and reliable systems.
Not sure where to begin? Choose a short reading path, or browse at your own pace.
Where workplace ChatGPT data goes
An approved summary task can take a new data path when a connector is added. Account controls, retention and output sharing apply at different points along that path.
Who can authorize the next incident mitigation?
A rollback debate can be blocked by compatibility evidence or unreachable authority. A decision worksheet separates those problems and records the recovery checks.
SRE accountability needs authority, capacity, and a clear owner
A service owner may depend on another team’s access, risk decision or engineering time. Following a shared-database change reveals where that arrangement needs help.
How variational autoencoders learn telemetry patterns
The encoder, latent distribution and reconstruction objective explain why a VAE can flag a legitimate traffic change while overlooking a familiar failure.
What a canary deployment actually tests
Traffic assignment determines which behavior reaches a canary. Promotion also depends on the baseline, service objectives and state left behind by rollback.
How GANs generate synthetic telemetry
GANs learn to resemble training data. A cascading-timeout example explains what generated traces contribute to testing and what a controlled fixture supplies.
Calculating mean time to detect from incident records
Worked incident records explain the MTTD formula, uncertain onset times and the effect of including failures first reported by customers.
Why blameless reviews investigate the conditions around a mistake
A mistaken target selection shows how an incident review can explain a responder’s choice and lead to a more useful interface improvement.
Writing a post-incident review the next responder can use
A delayed rollback connects the incident timeline to the information responders had, the compatibility question they faced and the follow-up that remains.
What KISS means for service configuration
Feature flags and customer overrides show why a shorter configuration file can leave just as much behavior to investigate and support.
What observability metrics keep and leave out
Counters, gauges and distributions preserve different information. A misleading latency trend shows why the counted requests matter as much as the chart.