Model Context Protocol (MCP)is the AI world's version of USB-C. It lets models snag live data and tango with APIs, juicing up their powers like never before. Microsoft'sAzure OpenAI Servicesuses MCP to catapult GPT models out of their static halls of knowledge, mixing in real-time tool hookups for o..

Meta's bold move to crank up control group sizes—sometimes21 times larger—while shrinking test groups by half keeps those cherished confidence intervals intact. Asymmetric experiments shine when you've got low experiment bandwidth, recruitment costs peanuts, and test interventions drain the budget. ..

Migrating fromAWS ECStoAWS EKS? Beats the bark out of those pesky spot instance disruptions, but introduces a new player: the complexity monster namedKubernetes. Bigger, faster, cheaper—if you know the dance steps. Juggling CPUs in Kubernetes feels like herding caffeinated cats. EnterKarpenterto sav..

Running Kubernetes in production isn’t just a button-click. Start with3 master nodesto dodge disasters. Dish outload balancingto smash single points of failure. Skew yournode sizingfor peak workload muscle. Automate scaling withCluster Autoscaler—your new best friend. Keep your setup a fortress with..

Uber enhanced its machine learning platform by migrating workloads to Kubernetes in early 2024. The migration aimed to solve pain points such as manual resource management, inefficient resource utilization, and inflexible capacity planning. The architecture designed included federated resource manag..

TheKube Resource Orchestrator (kro)dreams big by letting you turn complex Kubernetes APIs into elegant, singleResourceGroupCRDs. Think of it as Kubernetes without the migraines—dependencies and configurations quietly managed in the background. An AWS experiment still cooking, it's not quite ready fo..

A glitch in the autoscaling settings skewed the NEGs, cramming them into a single AZ. Boom. Next thing you know, pods flounder and the app goes belly-up...

WasmEdgedoesn't just compete with old-school OCI runtimes—it obliterates them with lightning-fast startups. It takes a chainsaw to resource waste and security headaches, thanks to its ironclad sandboxing. Its cross-platform magic dances acrossx86, ARM, and RISC-Vwith zero configuration drama. A drea..

Kubernetesjust dropped a bombshell:JobSet. Managing tangled batch workloads? Now it's all a numbers game for the pros. Think of it as a maestro marshaling a wild orchestra of Jobs into harmony. But wait, there's more. From GKE 1.32.1 onward, they’ve slipped in automatic rollup metrics. No extra fees..

Googlehas hatched a cunning plan: turnKubernetesinto the go-to choice for AI/ML workloads. It’s outgrowing its “just for containers” phase. In the AI explosion, everyone suddenly wants Kubernetes—who knew? To stay ahead, Google’s jazzing up its cloud offerings with slicker performance, scalability t..