GuideSLOs & reliability
Release gates that hold up under incident pressure
An error-budget hold needs a route for an urgent repair. Fresh measurements, artifact-specific exceptions and recovery criteria determine how that route works.
AIOps
AI in production: tools, operating patterns, costs, and failure modes.
GuideIncident response
Keeping incident state consistent across PagerDuty, Jira and Slack
A reference design for duplicate deliveries and partial API success, with durable incident identifiers and summaries drawn from the resulting record.
ExplainerPlatform engineering
AI storage and recovery in NetApp and NVIDIA architectures
Model loading and checkpoint recovery stress storage differently. Reference configurations help explain which workload and failure conditions their results cover.
ExplainerAI in production
What the AIOps market forecast measures
The dated market estimate has a definition, forecast period and growth calculation. Those details explain how it can inform a local investment discussion.
GuideAI in production
Prompting an assistant to investigate an incident
A reusable prompt connects observations, competing explanations and the next read-only check, so an incomplete record can still support useful investigation.
GuideIncident response
Coordinating incidents and bot actions in Slack
Incident channels connect responders to decisions and results. Write-capable bots also need precise action identifiers, duplicate handling and a route around a chat outage.
GuideAI in production
Comparing AIOps tools on responder work
Detection, correlation and remediation need different trials. The comparison includes specialist escalations, correction effort and the integrations left to maintain.
GuideIncident response
Finding the response delay AIOps can reduce
Evidence gathering, authorization and restoration can each hold up an incident. The timeline shows which kind of assistance could shorten the wait.
ExplainerAI in production
Using ChatGPT for SRE analysis and writing
Runbook comparisons, timelines and draft updates provide checkable inputs for assistance. Incident closure also needs evidence about service recovery and unfinished work.
GuidePlatform engineering
Where AI-generated tests fit in a release pipeline
A generated test can share the code’s mistaken assumption. Artifact identity and checks of the affected behavior explain what the passing result establishes.
ExplainerAI in production
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.
ExplainerAI in production
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.