In this article, you’ll learn how to configure Keda to deploy a Kubernetes HPA that uses Prometheus metrics. The Kubernetes Horizontal Pod Autoscaler can scale pods based on the usage of resources, such as CPU and memory. This is useful in many scenarios, but there are other use cases where more advanced metrics are needed – like the waiting connections in a web server or the latency in an API.

VMworld 2021 is upon us. Today, we are announcing several updates that improve VMware Tanzu Observability by Wavefront’s ability to deliver analytics-driven insights for site-reliability engineers (SREs), developers, and platform teams.

When embarking on digital transformation, success often comes down to using the right tools for the job. Emerging technologies have the ability to enable organizations to deliver better customer experiences more efficiently. This truism can serve as a forcing function for engineering teams to routinely reevaluate their tech choices and make sure they aren't missing out on a better solution.

Kubernetes is among the emerging open-source products expanding in the market at a very fast rate. It is a portable, extensible, and open-source platform used for managing containerized workloads and services. Companies are widely adopting it for the development of their major products. Docker is always used for running Kubernetes servers on local systems for testing purposes. It becomes essential for companies to monitor their Kubernetes container.

The newly released 2021 Accelerate State of DevOps Report found that teams who excel at modern operational practices are 1.4 times more likely to report greater software delivery and operational performance and 1.8 times more likely to report better business outcomes. A foundational element of modern operational practices is having monitoring tooling in place to track, analyze, and alert on important metrics.