Monitoring Cloud Workloads with Prometheus and Grafana: A Guide for OpenShift, Azure, and AWS Users
The blog post explains how to use two open-source tools, Prometheus and Grafana, for monitoring workloads on OpenShift, Microsoft Azure, and Amazon AWS. It offers a brief description of each platform and provides detailed instructions for installing and configuring Prometheus and Grafana for effective system metrics visualization.
How to Monitor MS Azure Performance and Reduce Costs Using Built-In Features
In today’s competitive business world, it is imperative for companies to have a clear understanding of their cloud resources’ performance and cost. Microsoft Azure, being one of the most widely used cloud platforms, provides various built-in features to monitor performance and reduce cost. With Azure’s built-in monitoring features, organizations can get real-time visibility into the health of their resources, diagnose issues proactively, and optimize resource usage to reduce costs. In this article, we will discuss in-depth how companies can use MS Azure built-in features to monitor performance and reduce costs. We will provide a practical step-by-step guide with tips, recommendations, and PowerShell scripts to monitor Azure resources and automate the cost optimization of Azure services.
Real-Time Azure Resource Monitoring with Python: Benefits and Sample Code
Microsoft Azure is a cloud computing service that provides a range of tools and services for building, deploying, and managing applications and services through the global network of Microsoft-managed data centers. Azure offers a wide range of resources, such as virtual machines, storage accounts, and databases, that can be used to create and run applications in the cloud.
