Operations | Monitoring | ITSM | DevOps | Cloud

Monitoring an application’s performance is the basics of building a successful software product. With the popularity that Rails has always been riding on in the start-up world, it makes all the more sense to look for tools that help you keep your Ruby on Rails application in shape. In this guide, we will look at some of the top APM tools for Rails applications and compare them along some standard benchmarks to help you get an insight into which tool fits your use case the best.

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.

Grafana 8.2 is here! This release marks the start of our work focused on measurable improvements to Grafana’s accessibility — part of our continuing mission to democratize metrics for everyone. The initial changes to Grafana in 8.2 are focused on navigation, with more to come. We’ll be sharing more about our accessibility roadmap in an upcoming blog post.

Missed part one? Check out the full guide here. As companies grow, so do their products, teams, and the number of external tools. For engineers, that can mean code sprawl, data silos, notification fatigue, and some “what the…?” moments along the way as they try to make sense of it all.