Operations | Monitoring | ITSM | DevOps | Cloud

This article will cover the most common challenges you might find when trying to use Prometheus at scale. Prometheus is one of the foundations of the cloud-native environment. It has become the de-facto standard for visibility in Kubernetes environments, creating a new category called Prometheus monitoring. The Prometheus journey is usually tied to the Kubernetes journey and the different development stages, from proof of concept to production.

Runtime security for Rancher environments requires putting controls in place to detect unexpected behavior that could be malicious or anomalous. Even with processes in place for vulnerability scanning and implementing pod security policies and network policies in Rancher, not every risk will be addressed. You still need mechanisms to confirm these security barriers are effective and provide a last line of defense when they fail.

Docker is an essential bridge in modern DevOps. Despite Kubernetes overtaking Docker on orchestrating containers, the Docker container itself remains the standard and likely will for the foreseeable future. We developed the Docker Metrics collector to operate as its own container that will run Metricbeat using the modules you are running in real time. Now, in addition to the Docker module, we are now releasing an AWS module for operations in the cloud.

This is a repost from the JFrog dev.io blog site. When you’re new to an industry, you encounter a lot of new concepts. This can make it really difficult to get your feet underneath you on an unfamiliar landscape, especially for junior engineers. In this series, I’ll cover tools and terminology common to the DevOps space, plus the occasional newbie-friendly tutorial for emerging or established technologies. If you have a request or suggestion, let me know!