// The SRE Collective
// The AIOps Collective
Most teams are not measuring detection. They are measuring when someone finally reacts. That gap is where outages grow teeth. Here is how to fix it.
AI agents are acting in production. Learn the new failure modes and the Agent SRE operating model: guardrails, decision tracing, semantic incidents.
Why AI token usage matters for AIOps and SRE teams. Tokens determine cost, latency, and system limits in every production AI workflow — yet most teams only discover this after things break.
How to use Google NotebookLM for AIOps and SRE without roulette prompts: build source-bound incident dossiers, decision memos, and postmortem gap checks that improve reliability.
AI reliability is constrained by physics,…
// Most Read Articles
Today's Picks
Most teams meet agents as a user interface first. A chat box that…
In today’s fast-paced and highly interconnected digital landscape, ensuring the seamless operation of IT infrastructure is crucial for businesses.
In the fast-paced world of software development, staying ahead of the competition requires more than just launching new features – it’s about delivering flawless user experiences. Enter the game-changing Canary Deployments.
// The Observability Collective
// From the Archive
A practical way to use the 5 Whys in postmortems without turning it into blame or a satisfying story. Keep answers mechanistic, branch when the system branches, and end in controls you can implement.
The customer escalation was accurate, specific, and late. By the time it reached…
Google’s SRE books offer practical insights and strategies to enhance professionals’ knowledge, problem-solving abilities, and foster a culture of continuous improvement in system reliability engineering.
Let’s define and explore the significance of SRE KPIs and their contribution to improving software systems.
Feedback loops play a vital role in SRE by providing valuable insights into system performance and guiding teams in their pursuit of excellence.
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