![]() Prometheus will send the metrics data it collects from the Kubernetes Cluster, and Grafana uses it to create the visualizations. It has to connect to a data source such as Prometheus. Grafana cannot create these visualization graphs, charts, and dashboards without a data source. You can see all the content on a web page once you connect your data source. Grafana can create interactive charts, graphs, dashboards, and web UIs. Grafana is an open-source multi-platform that gets data from a data source such as Prometheus and transforms it into visualizations charts. Display the metric data on the Prometheus Web UI or a third-party platform.It reports on the cluster’s health and performance.Automatically alert the administrator when a microservice crashes.Constantly monitoring the microservices running in the Kubernetes Cluster.Let’s summarize the importance of Prometheus as follows: The system administrator will then take the necessary measures to resolve the error. When Prometheus detects an error in one of the microservices, it uses the Alert Manager component to notify the system administrator. It also provides quicker debugging of the Kubernetes Cluster to identify errors and failures. It can then easily detect any failures in the processes running the microservices. When you use Prometheus to monitor a Kubernetes cluster, it automatically manages all the microservices. It, therefore, needs more automation such as Prometheus monitoring. DevOps engineers are building complex infrastructures that are becoming difficult to handle/maintain and monitor manually. Modern DevOps is becoming more and more complex. Prometheus is essential in monitoring highly dynamic container development environments and microservices infrastructure. Why Prometheus Monitoring is Important in DevOps It enables the administrator to know any changes in the system that Prometheus is monitoring in real-time. It provides automated alerting through email or slack to the system administrator. We will use Grafana as the third-party platform for displaying the time series data. It can use the inbuilt/default Prometheus Web UI or a third-party platform. This component accepts queries for the stored time series data and displays the data in a web UI or dashboard. This component stores the metric data in time series format. It then transforms the metrics data into time series data. This component scrapes and pulls the metrics data from the application. It does the actual monitoring work and has three components: When you install Prometheus in Kubernetes, it sets up Prometheus Server and Alert Manager. Let’s start by discussing how Prometheus and Grafana work. This article will teach you how to integrate Prometheus and Grafana on Kubernetes using Helm. Grafana is a multi-platform that gets data from a data source such as Prometheus and transforms it into visualizations charts. These metrics are CPU status, memory/disk space storage, request duration, number of running processes, server resources, and node status. When running Prometheus to monitor Kubernetes, it scrapes metrics data from the Kubernetes Cluster for monitoring the system. It can also monitor traditional non-container infrastructures such as monitoring Linux/windows servers, single applications, Apache Server, and Database services. It has become a widely accepted tool for monitoring highly dynamic container environments such as Kubernetes and Docker Swarm. Prometheus is an open-source automated monitoring and alerting system.
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