Keda

Modern cloud-native applications demand intelligent scaling that goes beyond simple CPU and memory metrics. KEDA (Kubernetes Event-Driven Autoscaling) revolutionizes how we scale workloads by enabling event-driven autoscaling based on external metrics like message queue depth, API response times, and custom application metrics. This comprehensive guide explores production-ready KEDA implementations for two critical use cases: Kafka consumer lag scaling and REST API workload scaling. Prerequisites Before implementing KEDA autoscaling, ensure you have: ...

Learn how to implement sophisticated canary release strategies by integrating Istio service mesh, Flagger progressive delivery controller, and KEDA event-driven autoscaling for reliable, automated deployments at scale.