Fork Around and Find Out is your downtime from uptime. Your break from the pager, and a chance to learn from expert’s successes and failures. We cover state-of-...
Disaster recovery is more than automation and infrastructure. There's a lot that goes into your services and some of those things can't be defined as code or automated. When was the last time you restored your database from a backup? How do you use least privileged access when your region changes and how do you even know you're having a disaster. Seth has a lot of experience and a ton of good insights in this episode.LinksSeth’s Linktree https://linktr.ee/setheliotarpio https://arpio.io/services/EKS Auto example repo https://community.aws/content/2sV2SNSoVeq23OvlyHN2eS6lJfa/amazon-eks-auto-mode-enabled-build-your-super-powered-clusterDisaster recovery white paper https://docs.aws.amazon.com/whitepapers/latest/disaster-recovery-workloads-on-aws/disaster-recovery-workloads-on-aws.htmlDisaster recovery blog series https://aws.amazon.com/blogs/architecture/tag/disaster-recovery-series/Ship it! with Pete Naylor https://changelog.com/shipit/127Engineering Resilient Systems on AWS by Jennifer Moran https://www.amazon.com/Engineering-Resilient-Systems-AWS-Resilience/dp/1098162420Four Things Everyone Should Know About Resilience https://community.aws/content/2duX45O6vKOE7cmmXQ9Nj3tO3bL/should-know-resilience
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1:02:13
Building a Datacenter with Jake Cooper
Railway wanted to build a better cloud so they started on Google Cloud and ended up building datacenters. Through the burden of success, they figured out there was a lot of things they had to learn and build themselves if they wanted to offer the best cloud experience they could. Jake tells us how they accomplished the move in 9 months, why the built their own orchestrator, and what they’re working on next.Check out Railway at https://railway.com/ and their blog at https://blog.railway.com. Specifically read the post discussed in this episode. https://blog.railway.com/p/data-center-build-part-one
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1:03:41
Staying Curious with Scott Hanselman
You can't grow in technology without learning new things. But sometimes those new things are actually old things. We talk with Scott about a wide range of interests about software, video games, 3D printing, and food. If you want to know why junior engineers are important for your teams you need to listen.Highlights(0:00) What makes good engineers?(12:00) Vibe coding(19:00) Doom scrolling with intention(24:00) Making vs buying(26:00) Praising hard work(30:00) Loss of empathyLinksScott's website: https://www.hanselman.com/Hanselminutes Podcast: https://hanselminutes.com/Scott and Mark Learn to... Podcast: https://www.youtube.com/playlist?list=PL0M0zPgJ3HSf4XZvYgZPUXgSrfzBN26pf
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42:16
Vectorizing Your Databases with Steve Pousty
What exactly is an LLM doing and why do you need to learn so many new terms? Steve Pousty is here to explain that most of those new terms are things you already know. It’s not new technology, it’s new words to describe technologies applied in a new field. We have a wild, ADHD roller coaster looping through embeddings, vectors, RAG, and LLMs. Make sure to keep your hands and arms inside the pod for this one.Chapters(0:00) Intro(9:00) Embeddings(19:00) Graph DB vs Vector DB(21:00) Vector Algebra(36:00) Open Source(41:00) Vector databases(51:00) What is RAG?(58:00) What is an LLM doing?(1:08:00) Dating adviceLinks• 🦋Steve on Bluesky https://bsky.app/profile/thesteve0.bsky.social• ▶️ Steve on YouTube https://www.youtube.com/@thesteve0 • 📍Voxel 51 https://voxel51.com/ • 🎮 Vector algebra game https://neal.fun/infinite-craft/ • 📘The Alignment Problem https://www.amazon.com/Alignment-Problem-Machine-Learning-Values/dp/0393635821 • 🎥 Mitchells vs The Machines https://www.netflix.com/title/81399614 • 📀 MNIST dataset https://en.wikipedia.org/wiki/MNIST_database • 📝 What ChatGPT is not https://blog.techravenconsulting.com/what-chatgpt-is-not/ • 📝 Why I am excited about ChatGPT https://blog.techravenconsulting.com/why-i-am-excited-about-chatgpt/
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1:14:10
Testing Your Performance with Ada Lundhe
How Rachel Ray’s crawler lead to Ada developing a new performance testing framework, hyperscale. This leads to a great conversation about the benefits of rust, modern python package managers, and why MySpace went out of business. The importance of connecting what you’re building to business value and understanding every line of code has a cost.Show Highlights(0:00) Intro(8:00) Rachel Ray crawler(15:00) Performance testing(20:00) Moving in to tech(31:00) Hyperscale and uv (39:00) Does memory safety matter?(43:00) Datavant(54:00) Connecting performance to business(1:02:00) Spicy takesLinks ReferencedPerformance testing tools:https://locust.io/https://k6.io/https://github.com/hyper-light/hyperscaleModern Python packaging: https://github.com/astral-sh/uvFAFO starter pack: https://go.bsky.app/LqoyyNqSponsor FAFO at https://fafo.fm/sponsor
Fork Around and Find Out is your downtime from uptime. Your break from the pager, and a chance to learn from expert’s successes and failures. We cover state-of-the-art, legacy practices for building, running, and maintaining software and systems.
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