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Cilium finally has an official book! "Cilium: Up and Running", published by O'Reilly, written by Nicolas Vibert, Filip Nikolic, and James Laverack https://lnkd.in/eWg97Hke
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O'Reilly reposted this
Five days ago I warned you about the “Valley of Regret.” Since then, a few more teams have admitted they’re already hiking through it. The Valley doesn’t feel dangerous at first. Velocity looks like progress. Demos look great. Everyone’s productive. Then 12–24 months later you realise you’ve been renting intelligence instead of building capability. That’s why we’re running this. Join Thomas Nield for Machine Learning from Scratch with O'Reilly and build foundations properly - not just prompt your way around them. If you’re an AI/ML Architect, Data Scientist/Analyst, or ML/AI Engineer - you’ll get a lot out of being in the room (and your future self will thank you). 📅 27 February 2026 | 🕒 10am – 3pm AEDT I’d hate for you to end up in the Valley of Regret 2.0: “I meant to register.” 😱 DM me (or reply to one of my persistent emails) and I’ll secure your seat. #MachineLearning #OReilly #DataScience #AIEngineering
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O'Reilly reposted this
Talking about tech leadership again next month This time with Lena Reinhard at an O'Reilly event We’ll talk about what “leveling up” really means once you’re already senior. The Tech Leadership Tuesday series previously hosted Kelly Vaughn, Anna J McDougall, Mark Copeland, Addy Osmani, Tanya Reilly .... So I’ll admit I feel slightly intimidated 😅 But I care deeply about this topic So here we go 🙂 → If you’re navigating that shift, this is for you: https://lnkd.in/dEHec-ct
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O'Reilly reposted this
Thank you to everyone who joined me for yesterday's Mastering Problem Analysis class. My next class for O'Reilly is Generative AI for Excel on March 4th. I hope you can join me: https://lnkd.in/e_RR728Z
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O'Reilly reposted this
O'Reilly’s Cilium Up and Running is out now 🐝 Nicolas Vibert, Filip Nikolic, and James Laverack have spent the last almost year pouring over Cilium's kernel magic to it accessible to everyone. Not only is this the prettiest O'Reilly cover you will ever see, you might also finally understand how BGP, IPAM, DNS, and the rest of the networking alphabet soup really works under the hood. You can get the digital copy now or they will also be signing copies at KubeCon next month! https://lnkd.in/dueqWc7A
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O'Reilly reposted this
I’m really happy to share that my good friend (and ex-colleague) Anemari Fiser has published her book "Leveling Up as a Tech Lead" with O'Reilly and I already have my copy 📖 I had the chance to give feedback during the writing process, and I’m genuinely grateful that she trusted me to contribute along the way. Huge congratulations! I’m proud to have seen your journey from early drafts to reaching the finish line and getting the book out in the world 🚀 → Check it out here: https://lnkd.in/eecPJHe6
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O'Reilly reposted this
Answered the door to an unexpected delivery, and was delighted to be handed A N M "Bazlur" Rahman ‘s new O'Reilly book on Modern Concurrency in Java! If you’re working in this space (or supervising agents who are 😁), this is essential reading!
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O'Reilly reposted this
Thanks to everyone who attended today's session of "Generative AI to Boost Your Personal Productivity". Don't forget the cheatsheet. I saw a message just as the course ended saying that they couldn't access the tinyurl version of the URL, so I will put the full link in a comment beneath this post. If you missed today's course, I am running another session on March 5 on the O'Reilly Learning Platform. I will add a link to the sign-up page in the comments. Thanks!
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O'Reilly reposted this
Join me and Andrew Martin online, for a conversation about Container Security on Wednesday 25th February, hosted by our friends at O'Reilly. We’d love you to join in and ask questions! https://lnkd.in/ehqu4ijT
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O'Reilly reposted this
Next week, don't miss out on my class 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘧𝘳𝘰𝘮 𝘚𝘤𝘳𝘢𝘵𝘤𝘩 with O'Reilly. We still have room!
Solving Shadow IT, Shadow AI, & Procurement Governance| Co-Founder, Sting Software & Yawman Flight | AI Safety Instructor at USC
Want to learn 𝐡𝐨𝐰 𝐦𝐚𝐜𝐡𝐢𝐧𝐞 𝐥𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐰𝐨𝐫𝐤𝐬 but have 𝐦𝐚𝐭𝐡 𝐚𝐧𝐱𝐢𝐞𝐭𝐲? Later this month, I'll be teaching a virtual 5-hour class 𝘔𝘢𝘤𝘩𝘪𝘯𝘦 𝘓𝘦𝘢𝘳𝘯𝘪𝘯𝘨 𝘧𝘳𝘰𝘮 𝘚𝘤𝘳𝘢𝘵𝘤𝘩 with O'Reilly. In this session, we will learn hands-on how to build the following machine learning algorithms in 𝐩𝐥𝐚𝐢𝐧 𝐏𝐲𝐭𝐡𝐨𝐧: ✅ Linear regression ✅ Logistic regression ✅ Naive Bayes ✅ Decision trees ✅ Random forests What's most fun about this class is the unorthodox (but valid!) hacks we do to remove learning barriers. For example, there is 𝐧𝐨 𝐥𝐢𝐧𝐞𝐚𝐫 𝐚𝐥𝐠𝐞𝐛𝐫𝐚 𝐚𝐧𝐝 𝐜𝐚𝐥𝐜𝐮𝐥𝐮𝐬, and opt for 𝐬𝐢𝐦𝐩𝐥𝐞 𝐏𝐲𝐭𝐡𝐨𝐧 variables and algorithms like 𝐡𝐢𝐥𝐥 𝐜𝐥𝐢𝐦𝐛𝐢𝐧𝐠 instead of gradient descent. If you can write a 𝘧𝘰𝘳 loop, you can build an AI model. There's still room so sign up. Hope to see you there! https://lnkd.in/gd5HiYqd