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    <title>Metrics &amp; Mayhem</title>
    <description>Metrics &amp; 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.</description>
    <link>https://www.masteringobservability.com/</link>
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    <copyright>© 2026 Al Mann</copyright>
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    <content:encoded><![CDATA[<p>Metrics &amp; 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.</p>]]></content:encoded>
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  <title>Wide Events: Observability 2.0, Without the Hype</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/wide_events_observability_2_0_without_the_hype</link>
  <description>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...</description>
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  <itunes:duration>1177</itunes:duration>
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  <content:encoded><![CDATA[<p>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.</p>    <p>I cover what a wide event actually is, why it answers the questions logs and metrics cannot, the canonical-logs heritage that predates the hype, where it fits with tracing and OpenTelemetry, and the honest ledger of cost and cardinality, so you can decide whether it belongs in your estate.</p>    <p>Read the full written version: <a href="https://www.masteringobservability.com/p/what-is-a-wide-event">https://www.masteringobservability.com/p/what-is-a-wide-event</a></p>    <p>Free chapter of Metrics &amp; Mayhem: <a href="https://www.masteringobservability.com/metrics-and-mayhem/free-chapter">https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</a></p>]]></content:encoded>
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  <title>You Don&#39;t See the Foundation: Why AI Ops Fails Before It Starts</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/you_don_t_see_the_foundation_why_ai_ops_fails_before_it_starts</link>
  <description>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...</description>
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  <pubDate>Fri, 07 Aug 2026 07:30:00 +0000</pubDate>
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  <itunes:duration>865</itunes:duration>
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  <content:encoded><![CDATA[<p>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.</p>    <p>This Signal Drop is about why AI ops is only ever as good as the foundation beneath it, and why putting an agent on a weak foundation does not fix your gaps; it exposes them at speed. What you'll take away: why an AI agent reasoning over messy data is confidently wrong; the three unglamorous parts of the foundation (telemetry, tags, traceability); why the groundwork pays for itself before any AI arrives; and a one-incident test of where your foundation actually stands.</p>    <p>Newsletter and a free chapter of Mastering Observability:</p>    <p><a href="https://www.masteringobservability.com/subscribe">https://www.masteringobservability.com/subscribe</a></p>]]></content:encoded>
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  <title>OpenTelemetry Profiles: The Fourth Signal, Explained</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/opentelemetry_profiles_the_fourth_signal_explained</link>
  <description>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...</description>
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  <pubDate>Tue, 28 Jul 2026 08:49:00 +0000</pubDate>
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  <itunes:duration>857</itunes:duration>
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  <content:encoded><![CDATA[<p>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.</p>    <p>In this Tech Tuesday, Allan Mann explains continuous profiling: what an OpenTelemetry profile actually is, continuous versus on-demand, the eBPF collector that runs as an OTel Collector receiver, and how profile samples correlate to trace_id and span_id so a flame graph lines up against the exact trace. Plus the honest caveats: it is alpha, the tooling is catching up, and always-on data carries a real storage and cardinality cost.</p>    <p>Watch on YouTube: <a href="https://youtu.be/q4Byz7OLgVY">https://youtu.be/q4Byz7OLgVY</a></p>    <p>Read the companion explainer: <a href="https://www.masteringobservability.com/p/what-is-opentelemetry-profiling">https://www.masteringobservability.com/p/what-is-opentelemetry-profiling</a></p>    <p>Newsletter and a free chapter of Mastering Observability: <a href="https://www.masteringobservability.com/subscribe">https://www.masteringobservability.com/subscribe</a></p>]]></content:encoded>
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  <title>The Gate Stays Human: Who&#39;s Accountable When AI-Ops Acts</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/the_gate_stays_human_who_s_accountable_when_ai-ops_acts</link>
  <description>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...</description>
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  <pubDate>Fri, 24 Jul 2026 08:26:00 +0000</pubDate>
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  <itunes:duration>713</itunes:duration>
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  <content:encoded><![CDATA[<p>When can you let an AI agent act on its own in production, and when does a human have to stay on the gate?</p>    <p>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 tool is. Low blast radius, let it run. High blast radius, a human decides, every time. Because you can automate the action, but you can never automate the accountability.</p>    <p> </p>    <p>What you'll take away:</p>    <p>- Why "how much can we automate?" is the wrong question to start with</p>    <p>- The blast-radius model: the open gate, the conditional gate, and the closed gate</p>    <p>- Why confidence is the wrong axis, and worst-case is the right one</p>    <p>- Two incidents on one night, and how the same tool earns two different answers</p>    <p>- The one habit: label your top five automated remediations and name who owns each gate.</p>    <p> </p>    <p>Metrics and Mayhem, a CTO's guide to observability that actually works, is out now in Kindle, paperback and hardback. Grab a free chapter at <a href="https://masteringobservability.com/subscribe">masteringobservability.com/subscribe</a>.</p>]]></content:encoded>
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  <title>Quiet Isn&#39;t Good: How to Justify Observability Spend</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/quiet_isn_t_good_how_to_justify_observability_spend</link>
  <description>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 ...</description>
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  <pubDate>Fri, 17 Jul 2026 07:16:00 +0000</pubDate>
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  <itunes:duration>637</itunes:duration>
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  <content:encoded><![CDATA[<p>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 the value is invisible by design.<br><br>The fix is not better tooling; it is better measurement. Put a number on the invisible side of the scale, and speak to the business in the currency it actually cares about, before the renewal lands.<br><br>What you'll take away:<br>- Why a quiet quarter is the worst sales pitch your monitoring will ever make<br>- The prevention paradox, and why being good at your job hides your value<br>- The one-slide habit that makes a near-miss visible before the renewal<br>- How to explain observability in the language the business actually cares about<br>- How to decouple your instrumentation from your vendor without a two-year migration<br><br>Chapters:<br>00:00 The Observability Prevention Paradox<br>05:32 Make Invisible Value Visible<br>07:04 Signal Check: Listener Q&amp;A<br>07:38 Explaining Observability in Business Terms<br>08:42 Decoupling from Your Observability Vendor<br>10:15 Closing Thoughts &amp; How to Connect<br><br>Metrics and Mayhem, a CTO's guide to observability that actually works, is out now in Kindle, paperback and hardback. Grab a free chapter at <a href="https://www.masteringobservability.com/metrics-and-mayhem/book">https://www.masteringobservability.com/metrics-and-mayhem/book</a><br></p>]]></content:encoded>
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  <title>How Do You Observe an AI Agent? | Tech Tuesday 02</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/how_do_you_observe_an_ai_agent_tech_tuesday_02</link>
  <description>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 some cases, apply changes. But wh...</description>
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  <pubDate>Tue, 14 Jul 2026 06:10:00 +0000</pubDate>
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  <itunes:duration>531</itunes:duration>
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  <content:encoded><![CDATA[<p>AI agent observability is the missing camera on the agents now acting in your production systems.</p>    <p>AI agents are moving beyond answering questions. They investigate incidents, call tools, analyse production data and, in some cases, apply changes. But when an agent makes a decision, can your team explain exactly what it did and why? Watching only the prompt and the final answer is not enough. The important part is everything in between: the tools it called, the information it received, the choices it made and the paths it decided not to follow. An unobserved agent is an unowned actor.</p>    <p>In this Tech Tuesday, Allan covers:</p>    <p>- Why is watching the prompt and the answer is not enough</p>    <p>- What an AI decision graph is</p>    <p>- The four parts every agent trace should capture: ask, decision, action, outcome</p>    <p>- How OpenTelemetry is helping standardise AI agent tracing</p>    <p>- Why does auditability not automatically make an agent safe</p>    <p>- The question every technology leader should ask an AI vendor: show me the trace</p>    <p>The principle is simple: there is no autonomy without auditability. The trace is the camera, not the gate. For any agent changing production systems, human approval should stay firmly in place.</p>    <p>📕 Metrics &amp; Mayhem: A CTO's Guide to Observability That Actually Works is out now on Amazon and Kindle. Free chapter: <a href="https://www.masteringobservability.com/metrics-and-mayhem/free-chapter">https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</a></p>    <p>Tech Tuesday from Metrics &amp; Mayhem: one important technology topic, explained clearly and practically. New episodes every Tuesday.</p>    <p>#AIAgentObservability #AIAgents #Observability #OpenTelemetry #SRE #TechTuesday #MetricsAndMayhem</p>]]></content:encoded>
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  <title>Signal Drop 23: The Curiosity You Stop Needing</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_23_the_curiosity_you_stop_needing</link>
  <description>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 a muscle: when your systems stop...</description>
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  <pubDate>Fri, 10 Jul 2026 17:12:30 +0000</pubDate>
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  <itunes:duration>461</itunes:duration>
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  <content:encoded><![CDATA[<p>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 a muscle: when your systems stop requiring it, you stop exercising it, and a genuinely novel failure then finds you out of practice.</p>    <p>This week: why good tooling de-skills incident investigation, a Hard Stop worth sitting with, a 20-minute habit to keep the muscle warm, and the new Signal Check segment answering two listener questions (how to find the change behind an incident, and whether AI is really improving IT operations).</p>    <p>None of this is anti-AI. Automation, mature tooling and plain seniority all quietly retire your questions. The point is to notice and put the reps back on purpose.</p>    <p>Metrics &amp; Mayhem: A CTO's Guide to Observability That Actually Works is out now on Amazon and Kindle. Free chapter: <a href="https://www.masteringobservability.com/metrics-and-mayhem/free-chapter">https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</a></p>]]></content:encoded>
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  <title>What Is MCP? The Model Context Protocol, Explained | Tech Tuesday 01</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/what_is_mcp_the_model_context_protocol_explained_tech_tuesday_01</link>
  <description>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. Introduced by Anthropic in late ...</description>
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  <pubDate>Tue, 07 Jul 2026 04:29:29 +0000</pubDate>
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  <itunes:episode>1</itunes:episode>
  <itunes:season>3</itunes:season>
  <content:encoded><![CDATA[<p>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. Introduced by Anthropic in late 2024 and now stewarded by the Agentic AI Foundation under the Linux Foundation, MCP is fast becoming the way agents reach real systems, which makes it an operational question, not just a lab one.</p>    <p>One thing, explained well. That is Tech Tuesday.</p>    <p>Free chapter of Metrics &amp; Mayhem: <a href="https://www.masteringobservability.com/metrics-and-mayhem/free-chapter">https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</a></p>]]></content:encoded>
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    <item>
  <title>Signal Drop: The Six-Week Decay</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_six-week_decay</link>
  <description>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 quietly worse over about six weeks, an...</description>
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  <pubDate>Sat, 04 Jul 2026 11:32:31 +0000</pubDate>
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  <itunes:duration>400</itunes:duration>
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  <content:encoded><![CDATA[<p>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 quietly worse over about six weeks, and every change we made was, on paper, an improvement. We automated triage. The routine got handled, fewer people were woken, and the numbers looked great.Then a novel fault arrived, the kind that is in no runbook, and the team stalled. The automation had never seen it either, and the humans were rusty, because we had taken away their reps. This episode is about the hidden price ofautomating the routine, and how to keep your team's edge on purpose.The habit: run one live incident drill the automation cannot help with. A novel fault, no runbook, your best people, cold.The book is out. Metrics &amp; Mayhem: A CTO's Guide to Observability That Actually Works. Kindle is live now; paperback and hardback launched on 1 June.Get your free chapter here: <a href="https://www.masteringobservability.com/metrics-and-mayhem/free-chapter">https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</a>Newsletter: <a href="https://masteringobservability.com">https://masteringobservability.com</a>LinkedIn: <a href="https://www.linkedin.com/in/allanmann1/">https://www.linkedin.com/in/allanmann1/</a></p>]]></content:encoded>
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  <title>Signal Drop: You&#39;re Going To Have To Suffer Today</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_you_re_going_to_have_to_suffer_today</link>
  <description>The launch pre-mortem: you can&#39;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 because the wobble was big, but bec...</description>
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  <pubDate>Fri, 26 Jun 2026 06:28:36 +0000</pubDate>
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  <itunes:duration>636</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>21</itunes:episode>
  <itunes:season>1</itunes:season>
  <content:encoded><![CDATA[<p>The launch pre-mortem: you can't promise a quiet launch, but you can give your team the bad night in advance.</p>    <p>Tested, green dashboards, everyone is confident. It wobbled forty minutes in, and the team fell apart, not because the wobble was big, but because nobodyhad told them it was coming.</p>    <p>A dad tells his ten-year-old before a cup final: " You're going to have to suffer today. The boy plays through the hardmoment because he was warned. This episode is about doing that for your team.You can't promise a quiet launch; you can give them a bad night in advance.</p>    <p>That's a pre-mortem.</p>    <p>The habit: a ten-minute pre-mortem before your next change. It's 3am, this broke, tell me the story.</p>    <p>The book is out. Metrics &amp; Mayhem: ACTO's Guide to Observability That Actually Works. Kindle is live now; paperback and hardback launched on 1 June.</p>    <p>Get your free chapter here:https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</p>    <p>Newsletter:https://masteringobservability.com</p>    <p>LinkedIn:https://www.linkedin.com/in/allanmann1/</p>]]></content:encoded>
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  <title>Signal Drop: Anger Is Just Fear in a Hi-Vis Vest</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_anger_is_just_fear_in_a_hi-vis_vest</link>
  <description>Sev1, and someone&#39;s typing in capitals. This should never have shipped. Who approved this? The channel tightens, the debugging slows, and now everyone&#39;s managing the angry person as well as the outage. I heard someone this week say anger almost always ...</description>
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  <pubDate>Thu, 18 Jun 2026 06:04:00 +0000</pubDate>
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  <itunes:duration>354</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>20</itunes:episode>
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  <content:encoded><![CDATA[<p>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.</p>    <p>I heard someone this week say anger almost always hides fear. In therapy, they call it not hysterical but historical. This episode puts that in the war room: the engineer shouting at 2 am isn't angry at the deploy; he's afraid, and nobody gave him the words. It's also why blameless post-mortems actually work.</p>    <p>The habit: before you respond to the heat, ask one silent question: what is this person afraid of right now?</p>    <p>The book is out. Metrics &amp; Mayhem: A CTO's Guide to Observability That Actually Works. Kindle is live now; paperback and hardback launched on 1 June.</p>    <p>Get your free chapter here:https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</p>    <p>Newsletter:https://masteringobservability.com</p>    <p>LinkedIn:https://www.linkedin.com/in/allanmann1/</p>]]></content:encoded>
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  <title>Signal Drop: The Cave You Won&#39;t Instrument</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_cave_you_won_t_instrument</link>
  <description>I avoided building one dashboard for about a year. The cost-per-request board for a service I already suspected was showing a bad number. Every deferral had a reason. Every reason was a way of not looking. Joseph Campbell: The cave you fear to enter ho...</description>
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  <pubDate>Fri, 12 Jun 2026 06:45:00 +0000</pubDate>
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  <itunes:duration>422</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>19</itunes:episode>
  <itunes:season>1</itunes:season>
  <content:encoded><![CDATA[<p>I avoided building one dashboard for about a year. The cost-per-request board for a service I already suspected was showing a bad number. Every deferral had a reason. Every reason was a way of not looking.</p>    <p>Joseph Campbell: The cave you fear to enter holds the treasure you seek. Every team has a cave, the part of the system nobody instruments because they're afraid of what it'll say. This episode is about treating that avoidance as a signal rather than a priority call.</p>    <p>The habit: name your cave, and put one crude panel on it this week.</p>    <p>The book is out. Metrics &amp; Mayhem: A CTO's Guide to Observability That Actually Works. Kindle is live now; paperback and hardback launched on 1 June.</p>    <p>Get your free chapter here:https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</p>    <p>Newsletter: https://masteringobservability.com</p>    <p>LinkedIn: https://www.linkedin.com/in/allanmann1/</p>]]></content:encoded>
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  <title>Signal Drop: The Alert That Just Says &quot;We Need To Talk&quot;</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_alert_that_just_says_we_need_to_talk</link>
  <description>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. A context-free alert is an open ...</description>
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  <pubDate>Fri, 05 Jun 2026 06:15:00 +0000</pubDate>
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  <itunes:duration>418</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>18</itunes:episode>
  <itunes:season>1</itunes:season>
  <content:encoded><![CDATA[<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 problem. A context-free alert is an open loop, and open loops fill with fear. This episode is about treating an alert as what it actually is: a message to a tired human at theworst hour of their day. What broke, how bad, what to do</p>    <p>The book is out. Metrics &amp; Mayhem: A CTO's Guide to Observability That Actually Works. Kindle is live now</p>    <p>Get your free chapter here:https://www.masteringobservability.com/metrics-and-mayhem/free-chapter</p>    <p>Newsletter:https://masteringobservability.com</p>    <p>LinkedIn:https://www.linkedin.com/in/allanmann1/</p>]]></content:encoded>
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  <title>Signal Drop: Position Before the Page</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_position_before_the_page</link>
  <description>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, what the unbuilt position actually...</description>
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  <pubDate>Fri, 29 May 2026 06:15:00 +0000</pubDate>
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  <itunes:duration>456</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>17</itunes:episode>
  <itunes:season>1</itunes:season>
  <content:encoded><![CDATA[<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 beats reaction, what the unbuilt position actually costs you, and the merge-time habit that lets you stop paying the heroism tax. One idea, one habit, five minutes.</p>]]></content:encoded>
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  <title>Signal Drop: Progress Isn&#39;t Linear</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_progress_isn_t_linear</link>
  <description>Your reliability metrics don&#39;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&#39;t a failed strategy, and how chasing every wobble quietly wrecks the t...</description>
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  <pubDate>Fri, 22 May 2026 07:08:26 +0000</pubDate>
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  <itunes:duration>353</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>16</itunes:episode>
  <itunes:season>1</itunes:season>
  <content:encoded><![CDATA[<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 how chasing every wobble quietly wrecks the thing you're trying to fix.</p>    <p>The habit to take away: decide what counts as real before you see the number, not after.</p>]]></content:encoded>
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  <title>Signal Drop: The Line You Won&#39;t Cross</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_line_you_won_t_cross</link>
  <description>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 of compromise that erode an IT ...</description>
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  <pubDate>Fri, 15 May 2026 10:38:57 +0000</pubDate>
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  <itunes:duration>627</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>15</itunes:episode>
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  <content:encoded><![CDATA[<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 increments of compromise that erode an IT Ops career, and how to name yours before someone else moves it for you.</p>]]></content:encoded>
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  <title>Deep Dive: The Midnight Pager Is Dying</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/deep_dive_the_midnight_pager_is_dying</link>
  <description>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&#39;searly adopters are resolving incidents 50% faster. But the DORA 2024 report found AI t...</description>
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  <pubDate>Thu, 26 Feb 2026 05:56:00 +0000</pubDate>
  <enclosure url="https://podcasts.beehiiv.com/51d69527-d6a4-44db-9fca-9b6cf2fee3e4/019f6bf9-193c-7785-9222-1fdfebeb3363/019f6bfa-2290-7824-8e33-1516562df4d9/019f6bfa-22dc-75b2-b223-7efd076d10ac.mp3" type="audio/mpeg" length="25502912" />
  <itunes:duration>1580</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <itunes:episode>1</itunes:episode>
  <itunes:season>2</itunes:season>
  <content:encoded><![CDATA[<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. But the DORA 2024 report found AI tooling correlates with worse delivery performance, for the second year running, and the Catchpoint SRE Report showed toil rising, not falling.</p>    <p>What happens to on-call when the easy pages disappear, and the remaining 20% of incidents just get harder? Four concrete actions for the next sprint.Based on the blog post: <a href="https://masteringobservability.com/p/the-midnight-pager-is-dying-what-replaces-it-is-harder">https://masteringobservability.com/p/the-midnight-pager-is-dying-what-replaces-it-is-harder</a></p>    <p>Observability, SRE, AIOps, On-Call, Auto-Remediation, IT Operations, Leadership</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: Your Role Changes Every Hour</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_your_role_changes_every_hour</link>
  <description>Most leaders don&#39;t fail because they&#39;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 wrong one and the room fills with...</description>
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  <pubDate>Wed, 18 Feb 2026 11:55:34 +0000</pubDate>
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  <itunes:duration>282</itunes:duration>
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    <item>
  <title>Signal Drop: Accountability Is the Job</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_accountability_is_the_job</link>
  <description>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 pressure: one owner, one outcome, one ...</description>
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  <pubDate>Thu, 12 Feb 2026 07:36:23 +0000</pubDate>
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  <itunes:duration>283</itunes:duration>
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    <item>
  <title>Signal Drop: Curate Who You Listen To</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_curate_who_you_listen_to</link>
  <description>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 trust to tell you the truth? And ...</description>
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  <pubDate>Sun, 08 Feb 2026 04:17:59 +0000</pubDate>
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  <itunes:duration>314</itunes:duration>
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  <content:encoded><![CDATA[<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 you trust to tell you the truth? And what data do you use to stay grounded when everyone has an opinion?</p>    <p>Clear circle, clear truth sources, clear decisions. More signals soon.</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: Your Team Mirrors You</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_your_team_mirrors_you</link>
  <description>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 with clarity, pace, and decision...</description>
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  <pubDate>Mon, 02 Feb 2026 18:00:07 +0000</pubDate>
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  <content:encoded><![CDATA[<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 high-pressure moments with clarity, pace, and decision support.</p>    <p>A ten-second reset can change the whole room. One breath, one headline, one next step. Calm people think. Panicked people guess. Guessing gets expensive.</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: The Last Person in the Queue</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_last_person_in_the_queue</link>
  <description>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 interrupt. This Signal Drop is a...</description>
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  <pubDate>Tue, 20 Jan 2026 03:49:00 +0000</pubDate>
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  <itunes:duration>307</itunes:duration>
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  <content:encoded><![CDATA[<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 to interrupt. This Signal Drop is about inclusion as a performance control.</p>    <p>If your culture listens only to the loudest voices, you’re running production without telemetry. The bill always arrives.</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: Control Beats Perfection</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_control_beats_perfection</link>
  <description>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 the mindset shift from “preventi...</description>
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  <pubDate>Tue, 13 Jan 2026 03:00:00 +0000</pubDate>
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  <itunes:duration>306</itunes:duration>
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  <content:encoded><![CDATA[<p>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 the mindset shift from “prevention at all costs” to runtime control: toggles, flags, progressive rollout, and clear decision support. A two-hour rollback is chaos. A 20-second toggle is the control.</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: Context, Intent, Headline</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_context_intent_headline</link>
  <description>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 conversations. Engineers want detail. ...</description>
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  <pubDate>Tue, 06 Jan 2026 03:00:00 +0000</pubDate>
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  <itunes:duration>259</itunes:duration>
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  <content:encoded><![CDATA[<p><b>Why good ops conversations fail:</b> we start halfway through the story and expect everyone to keep up.</p>    <p>In IT Operations and observability, this shows up everywhere: incident calls, exec updates, KPI reviews, staffing conversations. Engineers want detail. Leaders want meaning. If you don’t frame the first minute properly, both sides walk away guessing, and under pressure people guess wrong.</p>    <p>This Signal Drop gives you a simple structure that makes communication land fast: <b>context, intent, headline</b>. Three lines. Less than fifteen seconds. Use it and your updates stop drifting, decisions get cleaner, and incidents move faster.</p>    <p><b>More signals soon.</b></p>]]></content:encoded>
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    <item>
  <title>Signal Drop: Did Your Team Actually Hear You?</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_did_your_team_actually_hear_you</link>
  <description>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, incident response, and leadership. Wh...</description>
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  <pubDate>Tue, 23 Dec 2025 04:37:00 +0000</pubDate>
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  <content:encoded><![CDATA[<p>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, incident response, and leadership. When stakes are high, people don’t listen better — they listen worse. Bias kicks in, details get lost, and teams walk away doing different things. This episode is about speaking on the receiver’s terms, reducing confusion, and learning how to be received, not just clear.</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: You Can’t Market Trust</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_you_can_t_market_trust</link>
  <description>Trust isn’t a soft skill in IT Operations. It’s operational. In this Signal Drop, Allan looks at trust through a real-world Ops lens: hiring integrity, vendor behaviour, and why overselling destroys credibility fast. From candidates breaking trust befo...</description>
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  <pubDate>Tue, 16 Dec 2025 16:57:24 +0000</pubDate>
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  <content:encoded><![CDATA[<p>Trust isn’t a soft skill in IT Operations. It’s operational. In this Signal Drop, Allan looks at trust through a real-world Ops lens: hiring integrity, vendor behaviour, and why overselling destroys credibility fast. From candidates breaking trust before day one to vendors promising what production can’t deliver, this episode cuts to a simple truth: trust can’t be marketed. It’s earned through consistent, honest behaviour under pressure. Without trust, everything slows down.</p>]]></content:encoded>
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    <item>
  <title>Signal Drop: The Basics Are Not Optional</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_basics_are_not_optional</link>
  <description>A raw Signal Drop recorded on the back of a very early morning, thinking about patience, consistency, and the boring habits that actually keep systems alive. Most outages I have ever seen weren’t surprises. They were someone skipping a simple check bec...</description>
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  <pubDate>Wed, 03 Dec 2025 02:40:16 +0000</pubDate>
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  <content:encoded><![CDATA[<p>A raw Signal Drop recorded on the back of a very early morning, thinking about patience, consistency, and the boring habits that actually keep systems alive. Most outages I have ever seen weren’t surprises. They were someone skipping a simple check because they were chasing something shiny. Reliability comes from doing the basics even when you are tired, bored, annoyed, or ready to throw your laptop into the sea. Ops and observability are carried by people who show up and do the sensible thing every day.</p>]]></content:encoded>
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  <title>Signal Drop: The Burnout You Don’t Notice</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_the_burnout_you_don_t_notice</link>
  <description>A brutally honest Signal Drop recorded after a 3 am incident call, when I’d been awake nearly twenty-four hours and my bullshit tolerance was gone. This isn’t the dramatic version of burnout people talk about. It’s the quiet one. The sneaky one. The on...</description>
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  <pubDate>Sat, 29 Nov 2025 15:06:09 +0000</pubDate>
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  <itunes:duration>377</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <content:encoded><![CDATA[<p>A brutally honest Signal Drop recorded after a 3 am incident call, when I’d been awake nearly twenty-four hours and my bullshit tolerance was gone. This isn’t the dramatic version of burnout people talk about. It’s the quiet one. The sneaky one. The one that shows up when your work and your life drift out of alignment, and you’re too busy to admit it, nights like this force clarity. Pressure doesn’t break you. Misalignment does.</p>]]></content:encoded>
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  <title>Signal Drop: Skip the Theatre</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/signal_drop_skip_the_theatre</link>
  <description>A short Signal Drop on cutting the leadership noise and getting back to the work that actually stabilises teams and systems. Real leadership is the quiet, consistent stuff: hygiene, ownership, honest signals. If it doesn’t improve clarity, stability, o...</description>
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  <itunes:duration>174</itunes:duration>
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  <content:encoded><![CDATA[<p>A short Signal Drop on cutting the leadership noise and getting back to the work that actually stabilises teams and systems. Real leadership is the quiet, consistent stuff: hygiene, ownership, honest signals. If it doesn’t improve clarity, stability, or reliability, it’s probably theatre.</p>    <p>Let the team shine. Hold the line.</p>]]></content:encoded>
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  <title>Signal Drop: Your First or Your Last</title>
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  <description>A short Signal Drop on pressure, presence, and a moment from Fernando Alonso’s first F1 race that reminded me how fragile everything is. We bury ourselves in overthinking and forget to show up in the moment we’re actually in. Leadership isn’t about con...</description>
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  <pubDate>Thu, 27 Nov 2025 15:48:12 +0000</pubDate>
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  <itunes:duration>227</itunes:duration>
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  <content:encoded><![CDATA[<p>A short Signal Drop on pressure, presence, and a moment from Fernando Alonso’s first F1 race that reminded me how fragile everything is. We bury ourselves in overthinking and forget to show up in the moment we’re actually in. Leadership isn’t about control , it’s about clarity, honesty, and being there when it matters. No fluff. Just the signal.</p>]]></content:encoded>
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  <title>Welcome to Metrics &amp; Mayhem (Intro)</title>
  <link>https://www.masteringobservability.com/podcast/s/metrics_mayhem/welcome_to_metrics_mayhem_intro</link>
  <description>A short introduction to Metrics &amp; Mayhem, what the show is about, why it exists, and what you can expect each week. A simple welcome before we start the weekly Signal Drops and deeper leadership episodes.</description>
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  <pubDate>Thu, 27 Nov 2025 09:27:13 +0000</pubDate>
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  <itunes:duration>77</itunes:duration>
  <itunes:author>Al Mann</itunes:author>
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  <content:encoded><![CDATA[<p>A short introduction to Metrics &amp; Mayhem, what the show is about, why it exists, and what you can expect each week. A simple welcome before we start the weekly <b>Signal Drops</b> and deeper leadership episodes.</p>]]></content:encoded>
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