[{"data":1,"prerenderedAt":84},["ShallowReactive",2],{"$f9g4y8ihmmwub":3},{"event":4,"related":32,"upcoming":52},{"id":5,"slug":6,"source":7,"url":8,"title":9,"description":10,"startsAt":11,"endsAt":12,"timezone":13,"mode":14,"venue":15,"organizer":19,"image":12,"isFree":12,"region":23,"topics":24,"score":27,"featured":28,"status":29,"firstSeenAt":30,"lastSeenAt":31},"meetup:317137555","devops-amsterdam-is-back-2026-11-10","meetup","https:\u002F\u002Fwww.meetup.com\u002Fdevopsamsterdam\u002Fevents\u002F317137555\u002F","DevOps Amsterdam is back!","After a break, we're bringing the DevOps Amsterdam community together again.\n\nJoin us on November 10 at ING Cedar in Amsterdam for an evening of food, drinks, conversations, and three talks exploring some of the challenges shaping DevOps and platform engineering today.\n\nAnd there's another reason we're excited to get the community together again: we're working towards DevOpsDays Amsterdam 2027. We'll have more to share about that soon. 👀\n\nFor this meetup, we'll go from AI-assisted incident investigation, through 23 real-world ways of using an AI agent in a platform engineering team, to the lessons learned from organizations building their own internal developer platforms.\n\nWhether you're working in DevOps, SRE, platform engineering, cloud, operations, software engineering, or just curious about where all of this is heading, we'd love to see you there.\n\nFood and drinks will be provided, and there'll be plenty of time to catch up with old friends and meet new ones.\n\nAgenda\n17:30 – 18:30 | Doors open, food & drinks\n18:30 – 18:35 | Welcome\n18:35 – 19:05 | Building AIOps with an Ironman Mindset – Nikhil Gupta\n19:05 – 19:35 | 23 Ways to Use an AI Agent in a Platform Engineering Team at RTL NL – Anna Kosek\n19:35 – 20:05 | 7 Ways to Fail at Building a Platform – Michael Coté\n20:05 – 21:00 | Drinks, networking & socializing\n21:00 | End\n\nBuilding AIOps with an Ironman Mindset by Nikhil Gupta\n\nThe Ironman triathlon is about endurance, disciplined preparation and controlled transitions. Flow and reliability are no different.\nWhen an incident starts, responders need to understand customer impact, identify affected dependencies and decide what is safe to do next. But the evidence they need is often scattered across dashboards, deployment records, service catalogs, runbooks and other knowledge sources. Under pressure, responders have to reconstruct that operational context.\nIn this talk, Nikhil Gupta explores an AIOps design that continuously prepares this context and makes it available when it's needed.\nUsing a payment-service incident as an example, he'll explore investigations triggered by confirmed customer impact versus those triggered by an earlier anomaly. We'll see how an AI agent can choose read-only tools, collect evidence and propose verification steps while keeping the human responder responsible for operational decisions.\n\nWhat you'll take away\n\n How to identify context gaps that force responders to reconnect evidence manually during incidents\n How to separate deterministic context preparation from probabilistic AI reasoning and human decisions\n How to bound agent investigations using read-only access, tool-call budgets, stop conditions and evidence trails\n Ways to evaluate AI-assisted investigations using diagnosis accuracy, responder rejection, time to first validated fact and lead time before confirmed impact\n\nAbout Nikhil Gupta\nNikhil is a Product & Engineering Leader with passion for AI and Platform Engineering and is based in Amsterdam. Nikhil has experienced first hand how Platform Engineering and DevOps transformations play out in organizations of very different scale, from 20+ teams to 2000+ teams. Nikhil is leading the AIOps and Observability Engineering teams at ING. Nikhil like to write about Leadership, Platform Engineering, Observability and AI. You can follow him on LinkedIn and on Medium.com\n\n🤖 23 Ways to Use an AI Agent in a Platform Engineering Team at RTL NL by Anna Kosek\n\nAt RTL Netherlands, the team built Thanos, an AI agent that started life as a Slack chatbot and evolved into a platform engineering agent with more than 20 capabilities.\n\nIt reviews pull requests on Azure DevOps and GitHub, queries Grafana using natural language, generates architecture diagrams, manages work items and release notes, analyses build failures and supports automated incident root-cause analysis.\n\nBut the most interesting lesson isn't simply what the AI can do.\nIt's the human-in-the-loop patterns, identity-aware operations and trust model that made engineers actually want to use it.\n\nIn this fast-paced session, Anna Kosek will take us through 23 real-world use cases, complete with practical examples, honest failures and patterns you can take back to your own engineering teams.\nNo infinity stones required. Just a Kubernetes cluster and an open mind. 😉\n\nAbout Anna Kosek\nEngineering Manager Cloud & Data Platform at RTL Nederland.\n\n🏗️ 7 Ways to Fail at Building a Platform by\nMichael Coté\n\nBuilding your own internal developer platform can look attractive. But when you build it, you also own it. Suddenly, you're in the business of developing and maintaining a product alongside your actual business.\n\nDrawing on 10 years of platform engineering case studies from large organizations, Michael Coté will walk us through seven common risks of building your own platform:\n\nExpansive scopes. Underestimating cost. Project mindsets. Death by customization. Skills. Security and compliance. Resume-driven development.\n\nMore importantly, he'll look at what organizations can do differently, including:\n\n Discovering the full scope of platform engineering across organizational silos\n Calculating costs and performance end-to-end\n Evaluating build-versus-buy decisions for internal developer platforms\n Creating a platform engineering strategy and staffing plan\n Applying product management thinking to platform engineering\n\nLearn from organizations that have already encountered these problems so, hopefully, you don't have to repeat them yourself.\n\nAbout Michael Coté\nMichael Coté studies how large organizations improve the way they build software to run and grow their businesses. He's been an industry analyst at RedMonk and 451 Research, worked in corporate strategy and M&A, and was previously a programmer.\nHe's also the author of Changing Mindsets, Monolithic Transformation and The Business Bottleneck, and co-hosts podcasts including Software Defined Talk and Software Defined Interviews.","2026-11-10T16:30:00.000Z",null,"Europe\u002FAmsterdam","in-person",{"name":16,"address":17,"city":18,"lat":12,"lng":12},"ING Cedar","Bijlmerdreef 106, Amsterdam","Amsterdam",{"name":20,"slug":21,"url":22},"DevOps Amsterdam","devops-amsterdam","https:\u002F\u002Fwww.meetup.com\u002Fdevopsamsterdam\u002F","amsterdam",[25,26],"platform-devops","ai-agents",12.6,false,"scheduled","2026-10-26T14:36:44.136Z","2026-10-30T04:23:15.709Z",[33,54,70],{"id":34,"slug":35,"source":36,"url":37,"title":38,"startsAt":39,"endsAt":40,"timezone":13,"mode":14,"venue":41,"organizer":47,"image":51,"isFree":52,"topics":53,"featured":28,"status":29},"luma:evt-rFZvs4HWo7YIXsu","python-leiden-november-meetup-2026-11-12","luma","https:\u002F\u002Fluma.com\u002Fftmhhm1a","Python Leiden November meetup","2026-11-12T18:15:00.000Z","2026-11-12T21:00:00.000Z",{"name":42,"address":43,"city":44,"lat":45,"lng":46},"Technolab Leiden","Technolab Leiden, Betaplein 28, 2321 KS Leiden, Netherlands","Leiden",52.146164999999996,4.4928094,{"name":48,"slug":49,"url":50},"Python Leiden","python-leiden","https:\u002F\u002Fluma.com\u002Fpythonleiden","https:\u002F\u002Fimages.lumacdn.com\u002Fuploads\u002Fuy\u002F8d87547d-5213-4bd4-bfed-bc10b96eab91.jpg",true,[25,26],{"id":55,"slug":56,"source":36,"url":57,"title":58,"startsAt":59,"endsAt":60,"timezone":13,"mode":14,"venue":61,"organizer":64,"image":67,"isFree":52,"topics":68,"featured":28,"status":29},"luma:evt-5ynGGxaokhFV8DA","blockchain-meets-ai-2026-11-18","https:\u002F\u002Fluma.com\u002Fhovkpcus","Blockchain Meets AI","2026-11-18T16:30:00.000Z","2026-11-18T19:30:00.000Z",{"name":12,"address":12,"city":18,"lat":62,"lng":63},52.336152201347964,4.8705507137179245,{"name":65,"slug":66,"url":12},"BCNL Foundation","bcnl-foundation","https:\u002F\u002Fimages.lumacdn.com\u002Fuploads\u002Fz0\u002Fa8f55ca1-900d-4ab7-ba3d-146adc359fd1.png",[26,69,25],"llms-genai",{"id":71,"slug":72,"source":7,"url":73,"title":74,"startsAt":75,"endsAt":12,"timezone":13,"mode":14,"venue":76,"organizer":79,"image":12,"isFree":12,"topics":83,"featured":28,"status":29},"meetup:316566571","ai-native-engineering-coding-agents-memory-and-collabora-2026-11-25","https:\u002F\u002Fwww.meetup.com\u002Fai-native-amsterdam\u002Fevents\u002F316566571\u002F","AI-Native Engineering: Coding Agents, Memory & Collaboration","2026-11-25T17:00:00.000Z",{"name":77,"address":78,"city":18,"lat":12,"lng":12},"Xebia Netherlands BV","Wibautstraat 200, 1091 TJ Amsterdam, Netherlands, Amsterdam, NH",{"name":80,"slug":81,"url":82},"AI Native Netherlands","ai-native-netherlands","https:\u002F\u002Fwww.meetup.com\u002Fai-native-amsterdam\u002F",[26,69,25],1793369496277]