What Is Cloud Cost Optimization?
Cloud cost optimization is a process of reducing overall cloud spend by identifying mismanaged resources, reserving capacity for higher discounts, eliminating waste and right sizing computing services to scale. Cloud offers organizations unlimited scalability and lower IT costs by just charging for the resources you use. But AWS and Microsoft Azure pricing is that cloud customers are charged for the resources they order, whether they use it or not. Let us see some cloud cost optimization tips.
Cloud Cost Optimization Tips-
1. Find Unused Resources-
Simplest way to reduce cloud cost is to identify underutilized resources that you have been paying for. An administrator or developer might use a temporary server to perform a function and forget to turn it off when the job is done. Identifying such unused and unattached resources and deactivating it regularly will help you to reduce the cloud cost. If necessary, you can deploy automated cloud management tools which are helpful to provide analytics needed to optimize the cloud cost and cut it regularly.
2. Identify Idle instances-
This one is also an important cloud optimizing strategy which reduces costs of idle resources. Idle computing instance might have CPU utilization level of 1 to 5%. When an enterprise is charged for 100% of that computing instance, it is a huge waste. It is necessary to identify such instances and consolidate computing jobs onto fewer instances. In the data centers, administrators often wanted to operate at minimum use so that they would have headroom for traffic rise. Adding new resources in a data center is expensive, inefficient and difficult. Rather, cloud offers autoscaling, load balancing and on-demand capabilities that allow you to improve your computing power at any time.
3. Right Size Computing Services-
It is a process of analyzing computing services and modifying it to the efficient size. Generally, it is difficult to correctly size instances when cloud administrators has more than 1 million possible combinations to select. Besides, there are choices for servers optimized for database, memory, computing, graphics, storage capacity, throughput and so on. Right sizing not only reduces the cloud costs but also helps with cloud optimization, that means achieving high performance from resources for which you are paying for.
4. Use Headmaps-
For cloud cost optimization, headmaps are important. It is a visual tool that shows ups and downs in computing demand. This data is important in establishing start and stop times to reduce costs. Headmaps can indicate whether development servers can be safely shut down on weekends. This can be done manually but the good option is to use automation to schedule instances to start and stop, optimizing costs.
5. Use Alerts-
There are some third-party cloud management platforms that provide monitoring of cloud usage. Besides, many service providers offer features like alert that notifies you when specific events occur and allows you to take required actions for cost reduction. You can set alerts when the monthly spending limit is crossed or when the cloud storage cost reaches a specific point. Also you can set alerts to notify about non-production instances or storage volumes after certain days. Also you can use auto-scaling mechanisms to know whether you have chosen the right plan or need to change.
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