How-To
How to evaluate incident-response agents
Build repeatable cases and check recovery independently, with a runnable Python grader.
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AIOps
When agents can change production
Define the action, contain its scope, and verify what changed at the destination.
AIOps
Agent skills for SRE: write the execution contract
Define inputs, permissions, idempotency, verification, and stop conditions for one operational capability before expanding its authority.
Technology Overviews
Supervising coding agents with Herdr
Check agent status, terminal persistence, and recovery before adopting Herdr.
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.
AIOps
From AIOps signals to agent actions: design the handoff
Decide which workflow deserves an agent, where a fixed automation is sufficient, and how to measure the work left for responders.
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.
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
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.
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.
AIOps
Evaluate AIOps tools with the work your responders actually do
Compare detection, correlation, investigation, and automation using your incidents, review costs, and failure paths.
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.