GuideAI in production
Comparing incident sources with NotebookLM
Conflicting restart instructions show where a source-backed notebook helps: finding the relevant passages, dates and exceptions for the runbook owner.
AIOps
AI in production: tools, operating patterns, costs, and failure modes.
ExplainerPlatform engineering
GPU capacity depends on power and cooling
Power and cooling affect the work a GPU pool can sustain. Device signals, request completions and queue growth help distinguish a physical limit from a workload change.
GuideAI in production
Evaluating Claude Opus 4.6 for incident work
A rollback exception tests whether Opus 4.6 preserves decisive evidence across a long session, and whether the resulting answer arrives in time to help.
GuideAI in production
Recovering an interrupted agent skill
A timed-out scaling request needs a durable record and destination-state checks. Reusable operational skills need to recover unfinished work as well as start it.
ExplainerAI in production
How an AIOps finding becomes an agent action
A rollback proposal crosses from recorded evidence into a changing system. The handoff carries source references, current preconditions and unfinished actions.
The on-call work that page counts leave out
Disturbed nights, specialist help and cleanup consume capacity beyond the primary shift. A workload worksheet connects that demand to staffing and delivery plans.
CommentaryObservability
What AIOps alert correlation can hide
Grouping can shorten the incident queue while hiding a second failure. Following a replay past the first mitigation reveals whether that failure stays visible.
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.
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.
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.
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.