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ObservabilityHow-to

What if your agent's hallucinations had a budget? How to start using SLOs for agent behavior

At Grafana Labs, observability is what we do. So as we started building AI agents, we naturally reached for the same instincts we bring to every system: measure it, set targets, and make reliability something you can reason about instead of hope for. That instinct led us somewhere unexpectedly useful. It turns out one of the oldest ideas in reliability engineering, the error budget, maps…

Grafana Labs·via Grafana Labs Blog
ObservabilityHow-to

How to Build an SRE Agent That Actually Works (Without Blowing the Token Budget)

Learn how to build an SRE agent that delivers accurate, low-latency incident triage with multi-tiered memory and RAG—without blowing your token budget.

New Relic·via New Relic Blog
ObservabilityHow-to

The AI Economy Has a Senior Engineer Problem. Here’s How to Solve It by PagerDuty

According to a 2025 report from Ravio, entry-level hiring (especially in engineering roles) has collapsed by more than 73% due to increasing AI capabilities. That... The post The AI Economy Has a Senior Engineer Problem. Here’s How to Solve It appeared first on PagerDuty .

PagerDuty·via PagerDuty Blog
ObservabilityHow-to

How to monitor Cypress tests with Grafana Cloud

If your Cypress suite has tests that fail more often or run slower, you know it can be hard to figure out the pattern from a single job. It could be one spec that slowed down, or a single test that fails, or maybe the entire suite is trending slower. The root cause could be a bug in the app, or a flaky test, or something else. Your terminal output and CI log will tell you what happened on a…

Grafana Labs·via Grafana Labs Blog