AIOps
Release gates that hold up under incident pressure
Turn reliability policy into a release decision with fresh evidence, limited exceptions, and a clear path to resuming normal changes.
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AIOps
AI in release engineering: improve evidence without weakening the gate
Use models for test suggestions and change analysis while keeping artifact identity, promotion rules, and rollback checks enforceable.
News
Splunk agent observability: follow the work, then the bill
Splunk’s September release connects agent evaluation and cost monitoring. The useful test is whether a responder can trace spending back to an outcome.
News
NVIDIA’s confidential inference results need a workload boundary
NVIDIA reports low confidential-computing overhead on an eight-GPU test. Separate that measured performance result from your own security and recovery claims.
News
New AI energy alliance puts workload flexibility on the SRE agenda
Google, NVIDIA and Emerald AI are backing flexible data centers. Operators will need to define which AI work can yield power, and how it recovers.
AIOps
GPU capacity depends on power and cooling
When inference slows without obvious application errors, test physical constraints alongside queueing, workload changes, and software regressions.
AIOps
Evaluate Claude Opus 4.6 for operational work
Test evidence retrieval, long-session consistency, tool boundaries, and cost before letting a model influence production changes.
News
NVIDIA Topograph puts GPU placement evidence in focus
New Topograph guidance connects physical network topology to workload schedulers. The operational check is whether the scheduler’s view survives cluster change.
How-To
How to evaluate incident-response agents
Build repeatable cases and check recovery independently, with a runnable Python grader.
News
Claude adds on-demand compaction for long-running agents
The Messages API can now summarize conversation history when an application chooses. SRE teams should test which operational constraints survive.
AIOps
The operational cost of AI tokens
Account for context limits, retries, latency, and the work behind a useful result.
AIOps
NotebookLM for SRE: build a source-backed incident dossier
Use a curated notebook to compare runbooks and incident evidence, while keeping citations, freshness, and operational authority in view.