Why do we still trust metrics that lie to us?
Teams celebrate 99% cache hit ratios while their databases burn. The metric looks perfect, but the queries are reading 50x more data than needed. A problem first described in 2004 that we still haven't solved.
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Where Does Your War Room Actually Live?
We asked database and SRE teams where they actually coordinate during a critical incident. 58% said chat, 33% said video, 8% still use a physical room, and nobody chose Jira. The result says something useful about the difference between tools built for tracking incidents and tools built for resolving them.
Read moreThe AI Hype Is Colliding with Reality
MIT studied 300 public AI deployments and found that 95% of enterprise AI pilots deliver no measurable P&L impact. The pattern behind the 5% that work is not better models or bigger budgets. It is specificity: solving one painful operational problem instead of bolting generic AI onto existing workflows.
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