Tag: weave-cloud

RED Method for Prometheus - 3 Key Metrics for Monitoring

July 25, 2017

On July 25th, Luke Marsden from Weaveworks and Bill Maxwell from Rancher Labs led a webinar on ‘A Practical Toolbox to Supercharge Your Kubernetes Cluster’. In the talk they described how you can use Rancher and Weave Cloud to set up, manage and monitor an app in Kubernetes.

In this blog, we’ll discuss how and why Weave developed the best-practice RED method for monitoring apps with Prometheus.

 

What is Prometheus Monitoring?

You may have heard a lot about Prometheus lately, especially when it comes to monitoring applications in Kubernetes. To provide a bit of background before we delve into the RED method, apps running in containers and orchestrated by Kubernetes are highly automated and dynamic, and so, when it comes to monitoring applications in these environments, traditional server-based monitoring tools designed for static services are not sufficient.

This is where Prometheus comes in.

Prometheus is an open source project that was originally developed by engineers at SoundCloud. It was built and designed specially to monitor microservices that run in containers. Data is scraped from running services at time intervals and saved to a time-series database where it can be queried via the PromQL language. Because the data is stored as a time series, it allows you to explore those time intervals to diagnose problems when they occurred and to also analyze long-term monitoring trends with your infrastructure — two awesomely powerful features of Prometheus.

At Weaveworks we built on the open source distribution of Prometheus and created a scalable, multi-tenant version that is part of our Software-as-a-Service called Weave Cloud.

After having run this service for several months now, and by using Weave Cloud to monitor itself, we’ve learned a few things about monitoring cloud native applications and devised a system that we use in determining what to measure before instrumenting code.

 

What to Instrument?

One of the most important decisions to make when setting up Prometheus Monitoring is deciding on the type of metrics you need to collect about your app. The metrics you choose simplifies troubleshooting when a problem occurs and also enables you to stay on top of the stability of your services and infrastructure. To help us think about what’s important to instrument, we defined a system that we call the RED method. Read more


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