
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...


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. Built from years of operations (keeping services running) and observability (understanding what systems are doing), the rule is simple: clarity beats noise. No jargon. No fluff. Just signals that matter, even when the dashboards look smug.
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Signup to Generate a PitchMetrics & 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. Built from years of operations (keeping services running) and observability (understanding what systems are doing), the rule is simple: clarity beats noise. No jargon. No fluff.
Metrics & Mayhem is hosted by Al Mann. The show has published 31 episodes to date.
Recent episodes include "Wide Events: Observability 2.0, Without the Hype" (11 August 2026, 20 minutes), "You Don't See the Foundation: Why AI Ops Fails Before It Starts" (7 August 2026, 14 minutes), and "OpenTelemetry Profiles: The Fourth Signal, Explained" (28 July 2026, 14 minutes).
Metrics & Mayhem publishes roughly weekly, with episodes averaging 9 minutes across 31 episodes.
Booking probability for Metrics & Mayhem is 31%, and the host is rated Selective on guests. Metrics & Mayhem requires a Pod Score of 80 or higher. Metrics & Mayhem's contact route on record: verified email.
The strongest fits for Metrics & Mayhem are IT Services & Software Development and Business & Management Consulting. Metrics & Mayhem has a technology audience.
Al Mann hosts Metrics & Mayhem, a technology podcast with 31 episodes published.
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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...

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...

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...

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...

AI agent observability is the missing camera on the agents now acting in your production systems. AI agents are moving beyond answering questions. They investigate incidents, call tools, analyse production data and, in...

Good tools answer the question so fast you forget you were the one who asked it. Dashboards, runbooks and AI incident summaries are all useful, and all quietly retire the questions you used to ask yourself. Curiosity is...

MCP, the Model Context Protocol, is the open standard for connecting AI models to your tools and data. In the first Tech Tuesday, we explain what MCP is, the problem it solves, and where it fits in 2026, in plain terms...

Episode #22
Automate incident triage, and your best responders quietly lose the reps that kept them sharp, until the automation paradox meets a novel fault. I once watched one of the best incident teams I have worked with get...

The launch pre-mortem: you can't promise a quiet launch, but you can give your team the bad night in advance. Tested, green dashboards, everyone is confident. It wobbled forty minutes in, and the team fell apart, not...

Sev1, and someone's typing in capitals. This should never have shipped. Who approved this? The channel tightens, the debugging slows, and now everyone's managing the angry person as well as the outage. I heard someone...

<p>A duty engineer showed me the page that woke her at 3 a.m. It said: Error rate elevated. Three words and a graph. ThenShe lay there guessing which service, how bad, the big one or the noisy one.</p><p>That gap is the...

Episode #17
<p>Most observability work is reactive, not preventive. </p><p>This Signal Drop is about the most expensive habit in IT operations: treating the response to the incident as thestrategy. </p><p>It covers why positioning...

Episode #17
<p>Your reliability metrics don't climb in a straight line, and most of that month-to-month movement is noise wearing the costume of signal. </p><p>This episode is about why one bad month isn't a failed strategy, and...

Episode #15
<p>Returning after two months of silence. An ended contract in Abu Dhabi, a war that began a week later, and the integrity decision behind the gap.</p><p>This Signal Drop is about the line you refuse to sell, the small...

Episode #1
<p>Deep Dive (28mins): Auto-remediation is replacing the 3 AM scramble. Gartner says 60% of large enterprises will adopt self-healing infrastructure by 2026. PagerDuty'searly adopters are resolving incidents 50% faster...

Episode #14
<p>Most leaders don't fail because they're bad at leading. They fail because they stay in one mode too long. This Signal Drop breaks incident leadership into four practical modes: Direct, Shield, Coach, Delegate. Pick...

Episode #13
<p>In IT Operations, accountability isn’t blame. It’s ownership. When nobody owns the outcome, decisions wobble, incidents drag, and teams default to theatre. This Signal Drop is about making ownership explicit under...

Episode #12
<p>In IT Operations, you can get pulled in ten directions by praise, criticism, opinions, and noise. This Signal Drop is about staying steady under pressure by curating your input. Who gets a vote in your head? Who do...

Episode #11
<p>In IT Operations, your team mirrors you under pressure. If you bring chaos, you get chaos back. If you bring a calm signal, you get performance. </p><p>This Signal Drop is about leading incident calls and...

Episode #10
<p>Most leaders listen to the loudest voices. In IT Operations, that’s dangerous. The earliest warning signals often sit with the quietest person on the call, a night shift handover, or an engineer who doesn’t feel safe...
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