How-To
Prompt caching: measure the cost of useful work
Build a prompt-caching pilot that counts retries, failed work and unknown charges, with a local calculator and sample ledger.
Practical guidance for SRE and platform teams operating reliable services and production AI. Independent analysis, field guides, and working resources.
Selected reading
Kubernetes disruption budgets: test the capacity left behind
Plan an inference-service node drain with a scoped disruption budget, replacement-capacity checks and a practical maintenance worksheet.
Test whether an inference service can carry its workload during node maintenance.
Read the article
Original writing / Newest first
More from AIOpsSRE
How-To
How to evaluate incident-response agents
Build repeatable cases and check recovery independently, with a runnable Python grader.
Technology Overviews
Supervising coding agents with Herdr
Check agent status, terminal persistence, and recovery before adopting Herdr.
AIOps
What MTTD misses
Separate detection from response and find delays that an improving average can conceal.
AIOps
When agents can change production
Define the action, contain its scope, and verify what changed at the destination.
How-To
Connect the signals with OpenTelemetry
Use instrumentation and context propagation to connect the evidence in an investigation.
Releases, research & operational impact
Latest AI news
AI infrastructureNews analysis
NVIDIA tests GPU cluster readiness with real workloads
NVIDIA introduces workload-driven GPU cluster validation. Choose the acceptance claim and thresholds before interpreting a completed run as readiness.
Read the analysis
Kubernetes operationsNews analysis
NVIDIA introduces NodeWright for Kubernetes host updates
NodeWright brings Kubernetes-aware host changes into a declarative workflow. Check node selection, interruption limits and recovery before a fleet rollout.
AI modelsNews analysis
Claude Opus 5.5 lowers prices and changes the migration check
Anthropic releases Opus 5.5 with lower token prices. Evaluate operational exceptions and integration behavior before changing an agent workflow.
From reading to doing
Work through it, step by step.
Incident response
Build a usable runbook
Work through a database connection example, from the first symptom to a verified recovery.
Worked example + Markdown templateRead the guide
Reliability planning
Put your error budget to work
Define the service objective, calculate the allowance, and agree when a release needs to wait.
Calculations + policy fieldsRead the guide
Observability
Trace a request across services
Start with one important request path. Check propagation, sampling, and the gaps in your evidence.
Implementation guideRead the guide