HeyJaredMetrics & Mayhem
Metrics & Mayhem is a straight-talking podcast on leadership under pressure for leaders and teams in banking, finance, and software. Weekly Signal Drops deliver quick insight, with longer episodes when a topic needs room.
- Indexed episodes, last 90 days
- 9
- Latest publication
- Aug 11, 2026
- Audience
- Checking…
- Earliest in this view
- Jul 4, 2026
Latest episodes
Wide Events: Observability 2.0, Without the Hype (opens the original)
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Everyone is talking about observability 2.0 and wide events. This is the plain-English version, and the honest part: they are powerful, and they are not new. I cover what a wide event actually is, why it answers the questions logs and metrics cannot, t...
You Don't See the Foundation: Why AI Ops Fails Before It Starts (opens the original)
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The demo shows you the tower, the agent that fixes the incident on its own. It never shows you the year underground that made it possible: the clean telemetry, the tags, the traceability. This Signal Drop is about why AI ops is only ever as good as the...
OpenTelemetry Profiles: The Fourth Signal, Explained (opens the original)
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Metrics, logs and traces tell you the box is hot. They cannot tell you which function is burning the CPU. OpenTelemetry Profiles, the fourth signal, finally can. In this Tech Tuesday, Allan Mann explains continuous profiling: what an OpenTelemetry prof...
The Gate Stays Human: Who's Accountable When AI-Ops Acts (opens the original)
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When can you let an AI agent act on its own in production, and when does a human have to stay on the gate? This Signal Drop gives you the whole AI-ops governance model in one line: you decide what to automate by blast radius, not by how confident the t...
Quiet Isn't Good: How to Justify Observability Spend (opens the original)
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Your observability is working, nothing is on fire, and that is exactly when someone asks why you are still paying for all of it. This Signal Drop is about the prevention paradox: the better your monitoring works, the harder it becomes to fund, because ...
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