Table of Content
Objective
The document outlines a scalable monitoring architecture using Prometheus and Grafana within cloud environments like Azure and AWS, where Prometheus collects and stores metrics from various systems, while Grafana visualizes these metrics in customizable dashboards. Azure Managed Grafana integrates with services like Azure Kubernetes Service (AKS) to provide centralized, real-time monitoring across multiple environments, including hybrid cloud setups. The architecture supports persistent storage, secure access controls, and alerting, offering a comprehensive solution for tracking application and infrastructure performance.
Introduction
Grafana is a database analysis and monitoring tool. It allows you to create dashboard visualizations of key metrics that are important to you. Grafana supports a huge number of data sources. And, since the application is open source, you can be sure that the moment when a new data source has been released, someone out there is adding will add support for it. The most common use case of Grafana is displaying time series data, such as memory or CPU over time, alongside the current usage data.
Prometheus is a technology that collects and stores time series data. Time series are fundamental to Prometheus; its data model is arranged into: metrics that consist of a timestamp and a sample, which is the numeric value, such as how many disk bytes have been read or a stock price a set of labels called dimensions, for example, job and device.
Monitoring Tracker: Click here
Azure Managed Grafana
Azure Managed Grafana is a fully managed service for analytics and monitoring solutions. It's supported by Grafana Enterprise, which provides extensible data visualizations. Quickly and easily deploy Grafana dashboards with built-in high availability and control access with Azure security.
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In summary, Grafana Dashboards offer interactive, real-time visualization and alerting by combining panels, flexible variables, and robust configuration options.
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References
Session Recordings:
Training session 1- https://drive.google.com/file/d/16a7U75udC6VJwMA21PseKZbSd-N1qeep/view?usp=drive_link
Training session 2- https://drive.google.com/file/d/1YbNgADBoNbSObhwM2eXENkWnhPR0Z0N1/view?usp=drive_link