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Bare metal Kubernetes (K8s) is now easier than ever. Spectro Cloud has recently posted an article about integrating Kubernetes with MAAS (Metal-as-a-Service. In the article, they describe how they have created a provider for the Kubernetes Cluster API for Canonical MAAS (Metal-as-a-Service). This blog describes briefly the benefits of bare metal K8s, the challenges it presents, and how the work by Saad Malik and the team from Spectro Cloud solves those challenges.

Today, many of the internet’s busiest websites and applications rely on NGINX to run smoothly. And many of those websites and apps are run as cloud-native services in Kubernetes. In particular, the NGINX Ingress Controller is a best-in-class traffic management solution for cloud‑native apps in Kubernetes and containerized environments that uses NGINX as a reverse proxy, load balancer, API gateway, cache, or web application firewall.

In this article, you’ll learn, through an example, how to configure Keda to deploy a Kubernetes Horizontal Pod Autoscaler (HPA) that uses Sysdig Monitor metrics. Keda is an open source project that allows using Prometheus queries to scale Kubernetes pods. In Trigger a Kubernetes HPA with Prometheus metrics, you learned how to install and configure Keda to create a Kubernetes HPA triggered by a standard Prometheus query.

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.