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Hosted by Al Mann · 🇺🇸 US · EN-GB · 25 episodes
Established thought leaders with verified media credentials.
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.
Al Mann hosts Metrics & Mayhem, a technology show with 25 episodes published.
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 har
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 s
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.
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 quietl
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 bec
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 th
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. That gap is the problem.
Most observability work is reactive, not preventive. This Signal Drop is about the most expensive habit in IT operations: treating the response to the incident as thestrategy. It covers why positioning beats reaction, wh
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. This episode is about why one bad month isn't a failed strategy, and how chasing e
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. This Signal Drop is about the line you refuse to sell, the small increments
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. But
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 the w
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 pressu
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 you t
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. This Signal Drop is about leading incident calls and high-pressure moments
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 to
Perfect releases are a comfort blanket. Modern systems fail by default. The real question in IT Ops isn’t how to prevent every outage; it’s how fast you regain control when one happens. In this Signal Drop, I break down
Why good ops conversations fail: we start halfway through the story and expect everyone to keep up. In IT Operations and observability, this shows up everywhere: incident calls, exec updates, KPI reviews, staffing conver
Did your team actually hear you? Not did you say it. Not did you explain it. But did it land the way you think it did? In this Signal Drop, Allan breaks down why communication fails under pressure in IT Operations, incid
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Metrics & Mayhem is hosted by Al Mann. The show is categorised under technology and has published 25 episodes.
Metrics & Mayhem has published 25 episodes.
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