![]() ![]() In dev/staging environments, stopping EC2 instances during off-work hours is recommended. Stop non-production instances when they’re not in use You can automate this process by using AWS Lambda or a third-party tool.ĩ. Remove unused instances that are in a stopped state, as they can still incur costs. Periodically review your AWS environment and identify any unused resources, such as EC2, EBS snapshots, or EBS volumes, and delete them to save on storage costs. Detect and remove unused and idle resources: Read AWS’s right-sizing tips to learn more.Ĩ. This can help you save on EC2 costs without affecting the performance of your applications. Read AWS’s article on auto-scaling groups to learn more.ħ.Detect and shrink underutilized instances:ĭetect and analyze your instances to identify underutilized instances and consider resizing or downgrading them to a smaller instance type. This can help you avoid overprovisioning and paying for idle instances. By using auto-scaling groups, you can ensure that you have enough capacity to handle traffic spikes and scale down during periods of low usage. Use AWS Spot fleet to manage your spot instances and automatically scale your capacity based on your needs.Īuto-scaling groups allow you to automatically scale the number of EC2 instances based on your workload. Spot instances can be a great way to save costs for workloads that can handle interruptions or have flexible deadlines. Spot instances are unused EC2 instances that AWS offers at a significant discount compared to on-demand instances. You can save up to 72% on your EC2 costs by purchasing AWS Saving Plans or Reserved Instances. In exchange for this commitment, you receive a significant discount on the hourly rate of the instance. Use Saving Plans or Reserved Instances:ĪWS offers Saving Plans or Reserved Instances that allow you to commit to a one or three-year term for a specific instance type. ![]() Read our blog post on GP2 and GP3 volumes to learn how Lightlytics can help you find and migrate to optimal volume types.Ĥ. Use the proper volume configurations (IOPS, Size) and new generation (GP3) options that offer better performance and lower cost. ![]() Choose the correct volume type for your workload: and adjust the size of the volumes based on your needs. You can learn more about EC2 Graviton and EC2 AMD instances on the AWS website.ģ. AWS Graviton ARM-based instances outperform intel-based instances in some application and database benchmarks.Īs an example, price comparison looks like the table below:ĪWS EC2 price comparison by CPU type, as of However, performing thorough testing to compare the performance with Intel-based CPUs and ensure compatibility with your code is essential. Make use of ARM-based or AMD instances where you can:Ĭompared to Intel based CPUs, using AMD or Graviton ARM-based instances can reduce costs for your AWS EC2 usage. You can learn more about AWS instance types and AWS’s recommendations on the AWS blog.Ģ. The smaller/simpler the instance, the less you pay. As an example, use M6I instead of M5 instance types. By selecting the right instance type for your needs, you can avoid overprovisioning and paying for unnecessary resources. The new generation instance types provide even better performance and lower costs. Here are 10 best practices to reduce AWS EC2 compute costs:ĮC2 offers various instance types optimized for different use cases, such as compute-intensive, memory-intensive, or storage-intensive workloads. Fortunately, several ways exist to optimize your EC2 usage and reduce your AWS bill. As your compute requirements grow, EC2 instances can quickly become a significant expense for your organization. ![]() In this blog post, we will go over 10 best practices to optimize AWS EC2 costs.Īmazon Web Services (AWS) Elastic Compute Cloud (EC2) is one of the basic building blocks of any AWS deployment. ![]()
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