<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0" xmlns:itunes="http://www.itunes.com/dtds/podcast-1.0.dtd" xmlns:psc="http://podlove.org/simple-chapters" xmlns:podcast="https://podcastindex.org/namespace/1.0"><channel><title><![CDATA[Operationally Intelligent]]></title><description><![CDATA[<p><b>Operationally Intelligent</b> is <em>the</em> podcast for technical leaders and practitioners turning observability into business value. In each episode, we dive into real-world use cases, practical strategies, and emerging trends in <b>Operational Intelligence</b>—a data-driven approach that goes beyond observability to support continuous improvement, proactive decision-making, and smarter operations. Through informal, conversational interviews with industry experts, we explore how organizations can harness OI to align operations with business outcomes.</p>]]></description><link>https://squaredup.com</link><generator>Riverside.fm (https://riverside.com)</generator><lastBuildDate>Thu, 06 Aug 2026 18:53:48 GMT</lastBuildDate><atom:link href="https://api.riverside.com/hosting/UwgRU03v.rss" rel="self" type="application/rss+xml"/><author><![CDATA[SquaredUp]]></author><pubDate>Mon, 24 Nov 2025 11:11:24 GMT</pubDate><copyright><![CDATA[2025 SquaredUp]]></copyright><language><![CDATA[en]]></language><ttl>60</ttl><category><![CDATA[Technology]]></category><itunes:author>SquaredUp</itunes:author><itunes:summary>&lt;p&gt;&lt;b&gt;Operationally Intelligent&lt;/b&gt; is &lt;em&gt;the&lt;/em&gt; podcast for technical leaders and practitioners turning observability into business value. In each episode, we dive into real-world use cases, practical strategies, and emerging trends in &lt;b&gt;Operational Intelligence&lt;/b&gt;—a data-driven approach that goes beyond observability to support continuous improvement, proactive decision-making, and smarter operations. Through informal, conversational interviews with industry experts, we explore how organizations can harness OI to align operations with business outcomes.&lt;/p&gt;</itunes:summary><itunes:type>episodic</itunes:type><itunes:owner><itunes:name>SquaredUp</itunes:name><itunes:email>adam.kinniburgh@squaredup.com</itunes:email></itunes:owner><itunes:explicit>no</itunes:explicit><itunes:category text="Technology"/><itunes:image href="https://hosting-media.riverside.com/media/imports/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/pin0ig7jfyk692dnru7wzu1nsjoo.jpg"/><item><title><![CDATA[Is AI exhaust the next pillar of observability?]]></title><description><![CDATA[<p>In this conversation, Kyle Forster, Founder of RunWhen, discusses what AI agents actually need to work safely in production. He explains why logs and metrics make up only around 30% of the data reaching an LLM during an incident, and why the other 70%, the CLI calls, API queries and dead ends agents accumulate between incidents, behaves like the knowledge a senior SRE builds over time. Kyle shares why typical stacks wreck accuracy, what "safe for production" means when agents have write access, and how the SRE role is changing with advancements in AI.</p>]]></description><guid isPermaLink="false">ff501c5c-5093-4849-95f3-c276ae0c1f37</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Wed, 29 Jul 2026 15:00:12 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/0d1c6deab309c93c810a9eb85aa9ab04c259162f1b3476b06e8439dae81b8d27/eyJlcGlzb2RlSWQiOiJmZjUwMWM1Yy01MDkzLTQ4NDktOTVmMy1jMjc2YWUwYzFmMzciLCJwb2RjYXN0SWQiOiI4NGNmMTJkNS1iOGE1LTQyNzYtYTU3Ni04MGJlYWY3NWI3YTciLCJhY2NvdW50SWQiOiI2ODBmNWEyY2MwOGY1YmFlNGNjZGMzYmIiLCJwYXRoIjoibWVkaWEvY2xpcHMvNmE2YTEwMTMwZWE5YTlkZGNhNDMxMTllL3NxdWFyZWR1cC1jb21wb3Nlci0yMDI2LTctMjlfXzE2LTM3LTcubXAzIn0=.mp3" length="78762884" type="audio/mpeg"/><podcast:transcript url="https://hosting-media.riverside.com/media/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/ff501c5c-5093-4849-95f3-c276ae0c1f37/transcripts.txt" type="text/plain"/><itunes:summary>&lt;p&gt;In this conversation, Kyle Forster, Founder of RunWhen, discusses what AI agents actually need to work safely in production. He explains why logs and metrics make up only around 30% of the data reaching an LLM during an incident, and why the other 70%, the CLI calls, API queries and dead ends agents accumulate between incidents, behaves like the knowledge a senior SRE builds over time. Kyle shares why typical stacks wreck accuracy, what &quot;safe for production&quot; means when agents have write access, and how the SRE role is changing with advancements in AI.&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:41:01</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/ff501c5c-5093-4849-95f3-c276ae0c1f37/images/9e796d78-b401-461f-a4ec-824847a39ed5.png"/><itunes:season>1</itunes:season><itunes:episode>7</itunes:episode><itunes:title>Is AI exhaust the next pillar of observability?</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Is your platform team building in the dark?]]></title><description><![CDATA[<p>In this episode of Operationally Intelligent, Ricardo Castro explores why so many platform teams fail by building tools nobody asked for. He breaks down the ivory tower mentality that plagues platform engineering, the importance of sitting with developers to understand their real pain points, and how operational data should drive every decision. Ricardo and Adam discuss why DevOps, SRE, and platform engineering aren't competing disciplines, how metrics like lead time for change and developer satisfaction can bridge the gap between engineering and leadership, and why treating internal tools as products is the key to adoption. The conversation makes a compelling case that observability is the thread connecting it all.</p>]]></description><guid isPermaLink="false">7ce3cede-61cb-4e83-8625-6907ab297703</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Tue, 24 Feb 2026 14:57:12 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/baa38e3711384b4e6af1a9a7496dd7cd42794d9f5eee56e91145e2114b39a75c/eyJlcGlzb2RlSWQiOiI3Y2UzY2VkZS02MWNiLTRlODMtODYyNS02OTA3YWIyOTc3MDMiLCJwb2RjYXN0SWQiOiI4NGNmMTJkNS1iOGE1LTQyNzYtYTU3Ni04MGJlYWY3NWI3YTciLCJhY2NvdW50SWQiOiI2ODBmNWEyY2MwOGY1YmFlNGNjZGMzYmIiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjk5ZGJkMGVjMjZiMTczYzUxMTE4MGI2L3NxdWFyZWR1cC1jb21wb3Nlci0yMDI2LTItMjRfXzE2LTAtMzAubXAzIn0=.mp3" length="53528180" type="audio/mpeg"/><itunes:summary>&lt;p&gt;In this episode of Operationally Intelligent, Ricardo Castro explores why so many platform teams fail by building tools nobody asked for. He breaks down the ivory tower mentality that plagues platform engineering, the importance of sitting with developers to understand their real pain points, and how operational data should drive every decision. Ricardo and Adam discuss why DevOps, SRE, and platform engineering aren&apos;t competing disciplines, how metrics like lead time for change and developer satisfaction can bridge the gap between engineering and leadership, and why treating internal tools as products is the key to adoption. The conversation makes a compelling case that observability is the thread connecting it all.&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:37:10</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/7ce3cede-61cb-4e83-8625-6907ab297703/images/a82d9ca7-03f8-47fe-b83f-c0b1bf1a38c5.png"/><itunes:season>1</itunes:season><itunes:episode>6</itunes:episode><itunes:title>Is your platform team building in the dark?</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Do we really need LLM observability?]]></title><description><![CDATA[<p>In this conversation, Karthik Kalyanaraman, Co-Founder and CTO of Langtrace, discusses the evolution and importance of observability in AI, particularly for large language models. He shares insights on the challenges faced by developers in implementing observability, the role of OpenTelemetry, and the significance of standards in preventing vendor lock-in. Karthik emphasizes the need for organizations to connect observability to business outcomes and the future potential of AI observability in building trust among engineering teams and executives.</p>]]></description><guid isPermaLink="false">498755d0-14c0-42c7-b819-8282037a1dee</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Mon, 24 Nov 2025 12:38:39 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/0771a0ff5704c43e225b66db668f2f46dd259c94e541c2d7f4663131a57f4aa6/eyJlcGlzb2RlSWQiOiI0OTg3NTVkMC0xNGMwLTQyYzctYjgxOS04MjgyMDM3YTFkZWUiLCJwb2RjYXN0SWQiOiI4NGNmMTJkNS1iOGE1LTQyNzYtYTU3Ni04MGJlYWY3NWI3YTciLCJhY2NvdW50SWQiOiI2ODBmNWEyY2MwOGY1YmFlNGNjZGMzYmIiLCJwYXRoIjoibWVkaWEvY2xpcHMvNjkyNDQ1NTk2NWFhZTIyNGYzMDJjYjE2L3NxdWFyZWR1cC1jb21wb3Nlci0yMDI1LTExLTI0X18xMi00NS0yOS5tcDMifQ==.mp3" length="28901877" type="audio/mpeg"/><itunes:summary>&lt;p&gt;In this conversation, Karthik Kalyanaraman, Co-Founder and CTO of Langtrace, discusses the evolution and importance of observability in AI, particularly for large language models. He shares insights on the challenges faced by developers in implementing observability, the role of OpenTelemetry, and the significance of standards in preventing vendor lock-in. Karthik emphasizes the need for organizations to connect observability to business outcomes and the future potential of AI observability in building trust among engineering teams and executives.&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:37:59</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/498755d0-14c0-42c7-b819-8282037a1dee/images/edd64ea0-c489-4308-bc96-537cbdc809d8.png"/><itunes:season>1</itunes:season><itunes:episode>5</itunes:episode><itunes:title>Do we really need LLM observability?</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Can DORA metrics transform your team?]]></title><description><![CDATA[<p>In this episode of Operationally Intelligent, Nathen Harvey from Google Cloud discusses his journey to leading the DORA team and the significance of DORA in measuring software delivery performance. He explains the core metrics of DORA, the importance of capabilities and conditions for success, and how organizations can implement DORA effectively. The discussion also touches on the role of leadership, the impact of real-time data, and the future of DORA research, particularly in relation to AI.</p>]]></description><guid isPermaLink="false">Buzzsprout-17807381</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Mon, 08 Sep 2025 12:00:00 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-analytics/media/e342f8406c70c08a41ff9708037f063c7120fcda4d94d62136036c2023e6b419/eyJlcGlzb2RlSWQiOiI1MjE1N2Y4ZC1lMWE2LTQ2Y2UtYmZiOS1jYmJjZjcwNGYxMmEiLCJwb2RjYXN0SWQiOiI4NGNmMTJkNS1iOGE1LTQyNzYtYTU3Ni04MGJlYWY3NWI3YTciLCJhY2NvdW50SWQiOiI2ODBmNWEyY2MwOGY1YmFlNGNjZGMzYmIiLCJwYXRoIjoibWVkaWEvaW1wb3J0cy9wb2RjYXN0cy84NGNmMTJkNS1iOGE1LTQyNzYtYTU3Ni04MGJlYWY3NWI3YTcvZXBpc29kZXMvNTIxNTdmOGQtZTFhNi00NmNlLWJmYjktY2JiY2Y3MDRmMTJhLzE3ODA3MzgxLWNhbi1kb3JhLW1ldHJpY3MtdHJhbnNmb3JtLXlvdXItdGVhbS5tcDMifQ==.mp3" length="23376940" type="audio/mpeg"/><itunes:summary>&lt;p&gt;In this episode of Operationally Intelligent, Nathen Harvey from Google Cloud discusses his journey to leading the DORA team and the significance of DORA in measuring software delivery performance. He explains the core metrics of DORA, the importance of capabilities and conditions for success, and how organizations can implement DORA effectively. The discussion also touches on the role of leadership, the impact of real-time data, and the future of DORA research, particularly in relation to AI.&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:32:24</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/imports/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/52157f8d-e1a6-46ce-bfb9-cbbcf704f12a/o05dz0ljsov18bt0fszh3xxe5vij.jpg"/><itunes:season>1</itunes:season><itunes:episode>4</itunes:episode><itunes:title>Can DORA metrics transform your team?</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Insider View: AWS Best Practices for Operational Intelligence]]></title><description><![CDATA[<p>In this episode of Operationally Intelligent, Adam Kinniburgh and Michael Hausenblas discuss the nuances of operational intelligence and observability, exploring the importance of learning from incidents, the challenges organizations face in transitioning to operational intelligence, and the role of culture in fostering a supportive environment. They also delve into cost considerations, data storage strategies, and the potential of AI in enhancing operational intelligence practices.</p>]]></description><guid isPermaLink="false">Buzzsprout-17291583</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Mon, 16 Jun 2025 09:00:00 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-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.mp3" length="21659909" type="audio/mpeg"/><itunes:summary>&lt;p&gt;In this episode of Operationally Intelligent, Adam Kinniburgh and Michael Hausenblas discuss the nuances of operational intelligence and observability, exploring the importance of learning from incidents, the challenges organizations face in transitioning to operational intelligence, and the role of culture in fostering a supportive environment. They also delve into cost considerations, data storage strategies, and the potential of AI in enhancing operational intelligence practices.&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:30:01</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/imports/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/970984ee-a5f9-4551-b03d-f16adb965481/h899oxsieh79wkqfxbigtcdv05pd.jpg"/><itunes:season>1</itunes:season><itunes:episode>1</itunes:episode><itunes:title>Insider View: AWS Best Practices for Operational Intelligence</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Mobile Observability: Operational Intelligence in Your Pocket]]></title><description><![CDATA[<p>In this episode of Operationally Intelligent, we chat to Hanson Ho from Embrace and discuss the intricacies of mobile observability, emphasizing the importance of user-centric monitoring and the challenges faced in collecting and analyzing data from mobile applications. We explore the role of OpenTelemetry in standardizing observability practices and provide insights into best practices for mobile teams. The discussion highlights the significance of understanding user experience and performance metrics in driving operational intelligence and business value.<br /><br /><br /></p>]]></description><guid isPermaLink="false">Buzzsprout-17688971</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Mon, 18 Aug 2025 14:00:00 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-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.mp3" length="28427220" type="audio/mpeg"/><itunes:summary>&lt;p&gt;In this episode of Operationally Intelligent, we chat to Hanson Ho from Embrace and discuss the intricacies of mobile observability, emphasizing the importance of user-centric monitoring and the challenges faced in collecting and analyzing data from mobile applications. We explore the role of OpenTelemetry in standardizing observability practices and provide insights into best practices for mobile teams. The discussion highlights the significance of understanding user experience and performance metrics in driving operational intelligence and business value.&lt;br /&gt;&lt;br /&gt;&lt;br /&gt;&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:39:25</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/imports/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/5cb1efde-95ea-44ed-abad-8eee92126bf8/to7f7he31d85b0rzj45a3sycv55m.jpg"/><itunes:season>1</itunes:season><itunes:episode>3</itunes:episode><itunes:title>Mobile Observability: Operational Intelligence in Your Pocket</itunes:title><itunes:episodeType>full</itunes:episodeType></item><item><title><![CDATA[Beyond Metrics: The Real Work of Operational Intelligence]]></title><description><![CDATA[<p>In this episode of Operationally Intelligent, we're joined by Stephen Townshend , and we discuss the complexities of operational intelligence, site reliability engineering, and the role of data in making informed business decisions. We explore the challenges of navigating complex systems, the importance of effective communication within teams, and the illusion of control in large organizations. The conversation also touches on the potential of AI in enhancing operational intelligence and the need for trust in AI-driven decision-making.</p>]]></description><guid isPermaLink="false">Buzzsprout-17557597</guid><dc:creator><![CDATA[SquaredUp]]></dc:creator><pubDate>Thu, 24 Jul 2025 14:00:00 GMT</pubDate><enclosure url="https://api.riverside.com/hosting-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.mp3" length="23997504" type="audio/mpeg"/><itunes:summary>&lt;p&gt;In this episode of Operationally Intelligent, we&apos;re joined by Stephen Townshend , and we discuss the complexities of operational intelligence, site reliability engineering, and the role of data in making informed business decisions. We explore the challenges of navigating complex systems, the importance of effective communication within teams, and the illusion of control in large organizations. The conversation also touches on the potential of AI in enhancing operational intelligence and the need for trust in AI-driven decision-making.&lt;/p&gt;</itunes:summary><itunes:explicit>no</itunes:explicit><itunes:duration>00:33:16</itunes:duration><itunes:image href="https://hosting-media.riverside.com/media/imports/podcasts/84cf12d5-b8a5-4276-a576-80beaf75b7a7/episodes/47d283f4-800b-4bec-9a5c-9c690ad13d68/rqa6320xealvoacbci0pmi163owr.jpg"/><itunes:season>1</itunes:season><itunes:episode>2</itunes:episode><itunes:title>Beyond Metrics: The Real Work of Operational Intelligence</itunes:title><itunes:episodeType>full</itunes:episodeType></item></channel></rss>