Operations | Monitoring | ITSM | DevOps | Cloud

Memory (or RAM, short for random-access memory) is a finite and critical computing resource. The amount of RAM in a system dictates the number and complexity of processes that can run on the system, and running out of RAM can cause significant problems, including: This problem can be mitigated using clustered platforms like Kubernetes, where you can add or remove RAM capacity by adding or removing nodes on-demand.

In this blog, we will walk you through the basics of getting Netdata, Prometheus and Grafana all working together and monitoring your application servers. This article will be using docker on your local workstation. We will be working with docker in an ad-hoc way, launching containers that run /bin/bash and attaching a TTY to them. We use docker here in a purely academic fashion and do not condone running Netdata in a container.

We recently covered some of the complex decisions and architecture behind Cycle’s brand new interface. In this final installment, we’ll peer into our crystal ball and glimpse into the future of the Cycle portal. Cycle already is a production-ready DevOps platform capable of running even the most demanding websites and applications. But, that doesn’t mean we can’t make the platform even more functional, and make DevOps even simpler to manage.