OpenShift Commons Briefing #75: Monitoring Services on OpenShift with Prometheus
June 13, 2017 | by
OpenShift Commons Briefing Summary
A new approach to monitoring is required for cloud-native environments enabled by technologies like OpenShift. Services and instances are dynamic, regularly moving between machines, limiting the utility of traditional monitoring solutions. The Prometheus system is designed to run in such environments, handling both their scale and rate of change.
In this session, Brian Brazil, Founder, RobustPerception.io and core Prometheus developer, explains the the core ideas behind Prometheus, and describes how to get useful metrics from your applications, how to process that data, getting alerts on what matters, and creating dashboards to aid debugging on OpenShift.
Official Project Website: prometheus.io User Mailing List: firstname.lastname@example.org Dev Mailing List: email@example.com IRC: #prometheus on chat.freenode.net Robust Perception Blog: www.robustperception.io/blog
Learn More at the Next OpenShift Commons Gathering in Austin Dec 5th
Red Hatters, CNCF/Kubernetes project leads, and numerous other members of the OpenShift Commons will be gathering together in Austin for the upcoming OpenShift Commons Gathering co-located with Kubecon at the Austin Convention Center. Register now to reserve your seat at this day long event!
Don't forget to leave your feedback and suggestions for each video on YouTube or in the comments section below. This will be incredibly important to shape this Special Interest Group and create sessions that fit the demands of all the OpenShift developers in the community.
About OpenShift Commons
OpenShift Commons is the place for organizations that are part of the OpenShift community to connect with peers and other related open source technology communities to communicate and collaborate across all OpenShift projects and stakeholders.
The Commons' goal is to foster collaboration and communication between OpenShift stakeholders to drive success for all members, and expand & facilitate points of connection between members for sharing knowledge and experience to help drive success for the platform and for participants: customers, users, partners, and contributors.
The Red Hat cluster application migration tool (CAM) migrates stateful and stateless applications from a source cluster to a destination cluster. This tool was originally built to help the migration ...