New in AnyShift: Report Templates!

A library of the recurring investigations platform teams run by hand: pod stability, error budget burn, incident digest, on-call handoff, Terraform drift, cost outliers.

Pick one, Annie runs it, reports come back the same shape every time.

Manually: 20 min context-switching across UI → kubectl → namespace → pod → logs.

Annie correlates it in one question. anyshift.io

The real cause lives in Kubernetes, a CrashLoopBackOff'd pod from a deployment that quietly added CRASH_ON_START=true. Temporal is just waiting for a worker that will never arrive.

Your Temporal workflows are stuck "Running." The dashboard hasn't moved since last night. The instinct: blame Temporal.

It's almost never Temporal.

We used a boring incident to introduce Annie: workers stop polling, bad env var, CrashLoopBackOff. Nothing hard.

That's the point. Even on a trivial issue, the gap between "dig through kubectl and Temporal UI" and "ask one question" is obvious.

Agentic Context Engineering in Production: How AI Agents Build Institutional Expertise AI agents start every run from scratch. ACE (Agentic Context Engineering) gives them institutional memory that evolves through use, cutting root cause analysis time by 30%.

If you did not had the chance to take a look to the last article from our talented engineer Ghazi Felhi, feel free to read about #AgenticContextEngineering and how it is used to build institutional expertise !

www.anyshift.io/blog/ace-in-...