cluster-monitoring-operator
by
openshift

Description: Manage the OpenShift monitoring stack

View openshift/cluster-monitoring-operator on GitHub ↗

Summary Information

Updated 1 hour ago
Added to GitGenius on June 23rd, 2023
Created on April 11th, 2018
Open Issues/Pull Requests: 33 (+0)
Number of forks: 386
Total Stargazers: 262 (+0)
Total Subscribers: 163 (+0)
Detailed Description

The OpenShift Cluster Monitoring Operator (CMO) is a Kubernetes operator designed to simplify and automate the deployment and management of monitoring solutions within an OpenShift cluster. It’s a crucial component for proactive observability, allowing teams to quickly identify and address performance issues, security threats, and operational challenges. At its core, the CMO automates the process of deploying and configuring Prometheus, Alertmanager, and Grafana – the foundational elements of a robust monitoring stack – directly within the cluster. This eliminates the need for manual configuration, reduces operational overhead, and ensures consistency across environments.

**Key Features and Functionality:**

* **Automated Deployment:** The CMO uses Helm charts to deploy Prometheus, Alertmanager, and Grafana, streamlining the setup process significantly. It handles all necessary dependencies and configurations, making it accessible even for users with limited Kubernetes experience. * **Dynamic Configuration:** The operator dynamically adjusts the monitoring stack based on cluster size, node count, and other metrics. This ensures optimal resource utilization and performance. It can automatically scale Prometheus and Alertmanager based on incoming data volume. * **Integration with OpenShift:** The CMO is deeply integrated with OpenShift, leveraging OpenShift’s service mesh (Istio) for service discovery and traffic management, providing accurate and reliable metrics. * **Customizable Dashboards:** The operator supports the creation and deployment of custom Grafana dashboards, allowing users to visualize key metrics relevant to their specific applications and services. * **Role-Based Access Control (RBAC):** The CMO utilizes Kubernetes RBAC to control access to monitoring resources, ensuring security and compliance. * **Declarative Configuration:** All configurations are defined using Kubernetes manifests, enabling version control, reproducibility, and easy rollback.

**How it Works:**

The CMO operates as a Kubernetes controller. It monitors the cluster for the presence of OpenShift applications. When a new application is deployed, the CMO automatically detects it and configures Prometheus to scrape metrics from that application. It then configures Alertmanager to send alerts based on predefined rules. Grafana is deployed to provide a user interface for visualizing the collected metrics and alerts. The operator continuously monitors the health and performance of the monitoring stack itself, ensuring its availability and stability.

**Benefits:**

Using the CMO provides significant benefits, including reduced operational complexity, improved observability, faster troubleshooting, and enhanced application performance. It’s a powerful tool for any organization running OpenShift, enabling them to proactively manage their applications and infrastructure. The CMO is actively maintained and updated, incorporating the latest features and improvements from the Prometheus and Grafana communities.

cluster-monitoring-operator
by
openshiftopenshift/cluster-monitoring-operator

Repository Details

Fetching additional details & charts...