This means reviewing how much memory your resources are using. In order to maximize efficiency, you need a deeper dive into cloud performance. With the right metrics, you can see which services are most in use and, conversely, which resources are no longer running. Looking at this data on a regular basis helps organizations use the right compute resources and save money on their cloud bills. This process identifies unused or idle instances and turns them off, as well as finding overprovisioned instances and reducing their size to meet your current resource needs. Right sizing in cloud computing is one of the most powerful ways to optimize cloud spend for maximum performance. This process is known as right sizing.ĬloudCheckr CMx EC2 Instance Right Sizing Report Cloud metrics can tell you which cloud services are in use, what they cost, and where you can save money - often through removing resources that you no longer need. For example, a common cost issue in cloud computing includes resources that are spun up but not turned off. Reviewing cloud metrics and data on a regular basis helps you to find and fix issues when they occur - not at the end of the month when the cloud bill arrives. Monitoring memory usage can clue you in to where there may be problems or performance bottlenecks in your infrastructure, especially in large, high-performance databases and in-memory applications. Organizations that practice continuous operations need to ensure that they use resources efficiently and minimize downtime. Cloud memory metrics may be displayed in reports as a percentage of memory or number of bytes used. As with a server or desktop computer, the more cloud applications you have running, the more memory you’re using. In the cloud, memory metrics refer to the utilization of memory in the cloud. Examining cloud metrics data can show you resource utilization, any latencies or errors that have occurred, and cloud cost trends. You can then use the data to generate reports that show your overall cloud performance. Typically, a cloud platform gathers these metrics in real-time. What do we mean by cloud metrics, memory metrics, and right sizing?Ĭloud metrics are data points around the efficiency, security, and cost-effectiveness of your cloud environment and its operations. Understanding the impact of memory metrics can help you right size cloud resources and save money on your cloud bill.įirst, let’s explore some basic terms. But are you getting the most out of it? One way to know for sure is to pay attention to metrics around cloud utilization and memory. You’ve been using public cloud for some time.
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