Event-driven workloads demand different compute models; Container Apps Jobs scales to zero and costs pennies, while AKS provides control and state coordination at the expense of operational burden. This guide shows you how to choose correctly based on your actual workload, not your last successfu...
Most AKS overspend is architectural. Fix the workload shape, match capacity class to contract, and enforce policy. Everything else is tuning noise.
Deploying applications in the cloud may be too much for beginners, but think of Azure Container Apps as a service for determining the technica
I've written about KEDA before, but only in a little detail. A couple of weeks ago, a colleague asked me about KEDA because he saw my blog
KEDA works excellent when paired with code that runs on top of the Azure Functions containers. You have running services that monitor a queue,
In a previous blog post – Serverless anywhere with Kubernetes [https://florinloghiade.ro/2019/12/being-serverless-anywhere-with-kubernetes/] –
KEDA (Kubernetes-based Event-Driven Autoscaling) is an opensource project built by Microsoft in collaboration with Red Hat, which provides eve
