ContentPosts from @faun..
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@faun shared a link, 3 months, 1 week ago

The Road to 1.0: Terragrunt Stacks Feature Complete

Terragrunt Stacksjust leveled up. It's like Marie Kondo hit your Infrastructure as Code, making it pristine withOn-Demand and Recursive Generation. Say goodbye to config clutter...

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@faun shared a link, 3 months, 1 week ago

Serverless Is a Lie (But It’s Still Useful)

ECS Fargatedominates 24/7 stateless APIs, dodging those peskyLambdacold starts. Meanwhile,Lambdathrives in event-driven bursts but hits a 15-minute ceiling. For lean, mean APIs with built-in auth, lean towardsAPI Gateway. But if speed matters, marryFargatewith anApp Load Balancer.Step Functionsstrea..

Serverless Is a Lie (But It’s Still Useful)
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@faun shared a link, 3 months, 1 week ago

The Post-Developer Era

AI crafts 25% of Google's code while human developers orchestrate the symphony, molding and refining the AI's raw outputs.These AI tools "boost," they don't "replace," the seasoned artisans of code.Startups peddling the AI-only coding pipe dream tend to implode, tripped up by unanticipated hurdles.W..

The Post-Developer Era
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@faun shared a link, 3 months, 1 week ago

Introducing the Amazon EKS Auto Mode workshop

Amazon EKS Auto Modetosses the headaches of Kubernetes cluster management to AWS. It dynamically tunes resources, making life easier for your apps. Feeling lazy? The workshop deploys an app with just one command, all while delivering beefy, scalable solutions. Oh, and you’ll master it in two hours f..

Introducing the Amazon EKS Auto Mode workshop
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@faun shared a link, 3 months, 1 week ago

Scaling Nextdoor’s Datastores

Nextdoor took on database scalability like a pro. Theydynamically routed queriesto read replicas and keptcache consistencytight, even while yanking the carpet out with schema changes. Multi JOINs blocked their move todistributed SQLlike annoying roadblocks. But Nextdoor, the sly foxes, extended thei..

Scaling Nextdoor’s Datastores
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@faun shared a link, 3 months, 2 weeks ago

Manage all your kubernetes port-forwards in one place with

Meet theRust-infused lifesaversweeping away Kubernetes port-forwarding mayhem. It tames connections by routing everything through one neat hub. TCP and UDP? Handled effortlessly. Picture a pod bridging UDP traffic over TCP with precision, serving up a swanky GUI or a no-nonsense terminal view. Add a..

Manage all your kubernetes port-forwards in one place with
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@faun shared a link, 3 months, 2 weeks ago

VMware ups Tanzu's gen AI support, sheds Kubernetes dependence

VMware Tanzujust upped its game. It's infused with generative AI magic and has kicked Kubernetes to the curb. Now it taps into Anthropic'sModel Context Protocolfor a swift, almost cheeky, app creation rollercoaster. Ditch the config files—just throw code into the wild withSpring AI. Its data service..

VMware ups Tanzu's gen AI support, sheds Kubernetes dependence
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@faun shared a link, 3 months, 2 weeks ago

Kagent: Bringing Agentic AI to Cloud Native

Kagentrides on the back ofMicrosoft’s AutoGenlike a pro. This nifty tool empowers DevOps ninjas to unleash AI agents inKubernetes. Picture it automating all the drudgework: configuration hassles, network security fiddling—you name it. By syncing up with power players likePrometheusandArgo, it transf..

Kagent: Bringing Agentic AI to Cloud Native
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@faun shared a link, 3 months, 2 weeks ago

Creating a ClickHouse Cluster on Raspberry Pis

Craft a miniature powerhouse with threeRaspberry Pi 5s, each kitted out with NVMe drives. It's your ticket to an eye-opening, hands-on Kubernetes adventure. Start by installingK3s—the featherweight Kubernetes hero. Then, unleash theAltinity Operatorto deftly manage yourClickHousecluster. Say goodbye..

Creating a ClickHouse Cluster on Raspberry Pis
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@faun shared a link, 3 months, 2 weeks ago

Understanding new GKE inference capabilities

Google Cloud Nextswings open the curtains on GKE’s latest tricks for inference. Imagine serving costs dropping by 30%, tail latency by 60%, and a whopping 40% leap in throughput. Talk about upgrades with attitude!..

Understanding new GKE inference capabilities