Autoscaling Based on ALB Metrics Using KEDA
TL;DR: KEDA is used to fetch metrics from AWS Cloud watch. Based on ALB metrics the application can be scaled accordingly. This will help run software efficiently and smoothly.
Kamal Acharya is a DevOps Engineer experienced in Docker, Kubernetes, AWS, Terraform, and Python. He builds and automates scalable solutions with skills in scripting, Git, and Django.
TL;DR: KEDA is used to fetch metrics from AWS Cloud watch. Based on ALB metrics the application can be scaled accordingly. This will help run software efficiently and smoothly.
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TL;DR: In containerized environments where application are broken down into smaller, manageable components autoscaling plays the vital role in optimising performance, resource utilisation and provides a seamless experience for end users.