/plushcap/analysis/datadog/openshift-monitoring-tools

OpenShift monitoring tools

What's this blog post about?

In Part 2 of the series, we discuss how to access observability data using tools and services that come with a standard OpenShift installation. We cover monitoring and analysis with the OpenShift web console, command line spot checks on cluster metrics, and viewing logs and events from your OpenShift control plane and pods. The OpenShift monitoring stack includes components for exposing metrics from various objects in your cluster, collecting those metrics, alerting on them, and visualizing them. We also discuss how to use the Prometheus backend for more detailed monitoring and alerting. Additionally, we cover spot checking metrics and data with the `oc` command line tool. Finally, we provide an overview of Datadog's full-stack visibility into OpenShift environments, including seamless integrations with Kubernetes, CRI-O, and all containerized applications, as well as advanced monitoring features such as outlier detection, forecasting, and automatic correlation of observability data.

Company
Datadog

Date published
April 15, 2020

Author(s)
Maxim Brown

Word count
2855

Language
English

Hacker News points
None found.


By Matt Makai. 2021-2024.