The latest News and Information on DevOps, CI/CD, Automation and related technologies.
IT is advancing blazingly fast. To keep up with architectural changes and hybrid environments, it’s more important than ever to maintain efficient infrastructure monitoring and troubleshooting. Adding to the complexity is the increase of distributed systems, comprised of many components and services.
In Kubernetes, Ingress objects define rules for how to route a client’s request to a specific service running inside your cluster. These rules can take into account the unique aspects of an incoming HTTP message, including its Host header and the URL path, allowing you to send traffic to one service or another using data discovered in the request itself. That means you can use Ingress objects to define routing for many different applications.
At Elastic, we believe in the power of open source and understand the importance of community. By putting the community first, we ensure that we create the best possible product for our users. With Elastic Security, two of our core objectives are to stop threats at scale and arm every analyst. Today, we’re opening up a new GitHub repository, elastic/detection-rules, to work alongside the security community, stopping threats at a greater scale.
In this article we are going to consider the two most common methods for Autoscaling in EKS cluster: The Horizontal Pod Autoscaler or HPA is a Kubernetes component that automatically scales your service based on metrics such as CPU utilization or others, as defined through the Kubernetes metric server. The HPA scales the pods in either a deployment or replica set, and is implemented as a Kubernetes API resource and a controller.
