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How Do I Use Monitoring To Find Inefficient Cloud Resources? Are you looking for ways to identify and eliminate wasteful cloud resources? In this detailed video, we’ll explore how monitoring can be used to uncover inefficiencies within your cloud environment. We’ll cover the importance of tracking key performance metrics such as CPU utilization, memory usage, storage, and network traffic. You’ll learn how to set up continuous monitoring across multiple cloud providers like AWS, Azure, and Google Cloud, ensuring you have a complete view of your infrastructure’s health.

We’ll discuss how establishing normal performance thresholds helps in spotting overprovisioned or underused resources. You’ll see how centralized dashboards can simplify data analysis, making it easier to compare resource consumption across different systems. Automated alerts are also highlighted as a way to receive instant notifications on abnormal activity, enabling quick responses before issues impact your users.

Additionally, we’ll introduce advanced analytics and machine learning features that can detect patterns such as idle resources or workloads that can be consolidated. Cost management tools will be explained to help you identify resources that are expensive yet underperforming. Practical steps will include linking metrics to application performance, implementing automation for resource resizing, and conducting regular audits to remove redundant assets.

Finally, we’ll emphasize the importance of integrating monitoring with DevOps automation tools for seamless resource management. Whether you’re managing a small setup or a large cloud environment, understanding how to use monitoring effectively is key to optimizing your cloud resources, reducing costs, and maintaining smooth application performance.

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