AIOps
Sustainable on-call: make workload relief change the plan
Connect on-call interruptions, specialist demand, and recovery work to a concrete capacity decision using an on-call workload worksheet.
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AIOps
NetApp and NVIDIA: evaluate the storage path behind AI workloads
Read validated architectures as a starting point for workload, recovery, and support testing, not a promise of automatic reliability.
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
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
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.
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.
News
GPT-6 Sol and Luna change the agent cost calculation
Lower model prices and new caching controls make agent pilots cheaper to run. Measure accepted work before expanding the workload.
AIOps
Observability With AIOps: A Practical Evaluation Guide
Use AIOps to connect operational evidence, then test whether it improves investigation without hiding missing signals or unsupported conclusions.
AIOps
What AIOps alert correlation can hide
Evaluate AIOps grouping by detection coverage, investigation effort, and recoverable mistakes, not alert reduction alone.
How-To
How to evaluate incident-response agents
Build repeatable cases and check recovery independently, with a runnable Python grader.
AIOps
What MTTD misses
Separate detection from response and find delays that an improving average can conceal.