AWS enables you to take control of cost and continuously optimize your spend, while building modern, scalable applications to meet your needs. AWS's breadth of services and pricing options offer the flexibility to effectively manage your costs and still keep the performance and capacity you require. AWS is dedicated to helping customers achieve highest saving potential. During this period of crisis, we will work with you to develop a plan that meets your financial needs. Get started with the steps below that will have an immediate impact on your bill today.
Implementing new features or resource types can optimize your workload incrementally, while minimizing the effort required to implement the change. This provides continual improvements in efficiency over time and ensures you remain on the most updated technology to reduce operating costs.
Automatically provision resources to match the workload demand. Auto Scaling using demand or time-based approaches allow you to add and remove resources as needed. If you can anticipate changes in demand, you can save more money and ensure your resources match your workload needs.
The cloud makes it easier to accurately identify the usage and cost of systems, which then allows transparent attribution of IT costs to individual workload owners. This helps measure return on investment (ROI) and gives workload owners an opportunity to optimize their resources and reduce costs.
Use Reserved Instances (RI) to reduce RDS, Redshift, ElastiCache and Elasticsearch costs
For certain services like Amazon EC2 and Amazon RDS, you can invest in reserved capacity. With Reserved Instances, you can save up to 72% over equivalent on-demand capacity. Reserved Instances are available in 3 options – All up-front (AURI), partial up-front (PURI) or no upfront payments (NURI). Use the recommendations provided in AWS Cost Explorer RI purchase recommendations, which is based on your RDS, Redshift, ElastiCache and Elasticsearch usage.
Use Amazon EC2 Spot Instances to reduce EC2 costs
Customers can use EC2 Spot Instances to receive up to a 90% discount off On-Demand prices without making a term-based commitment. Spot instances are an ideal option for applications that are fault-tolerant, scalable, or flexible, such as big data (EMR, Hadoop, Spark clusters), containerized workloads (ECS/EKS or self-managed Kubernetes), CI/CD, web servers, high performance computing (Batch, grid servers, genomic sequencing) and test & development environments.
Use Compute Savings Plans to reduce EC2, Fargate and Lambda costs
Savings Plans is a flexible pricing model that provides savings of up to 72% on your AWS compute usage. This pricing model offers lower prices on Amazon EC2 instances usage, regardless of instance family, size, OS, tenancy or AWS Region, and also applies to AWS Fargate and AWS Lambda usage. Use the recommendations provided in AWS Cost Explorer, and ensure that you have chosen compute, one year, no upfront options. Once you sign up for Savings Plans, your compute usage is automatically charged at the discounted Savings Plans prices.
Match capacity with demand
Identify Amazon EC2 instances with low-utilization and reduce cost by stopping or rightsizing
Use AWS Cost Explorer Resource Optimization to get a report of EC2 instances that are either idle or have low utilization. You can reduce costs by either stopping or downsizing these instances. Use AWS Instance Scheduler to automatically stop instances. Use AWS Operations Conductor to automatically resize the EC2 instances (based on the recommendations report from Cost Explorer).
Identify Amazon RDS, Amazon Redshift instances with low utilization and reduce cost by stopping (RDS) and pausing (Redshift)
Use the Trusted Advisor Amazon RDS Idle DB instances check, to identify DB instances which have not had any connection over the last 7 days. To reduce costs, stop these DB instances using the automation steps described in this blog post. For Redshift, use the Trusted Advisor Underutilized Redshift clusters check, to identify clusters which have had no connections for the last 7 days, and less than 5% cluster wide average CPU utilization for 99% of the last 7 days. To reduce costs, pause these clusters using the steps in this blog.
Analyze Amazon DynamoDB usage and reduce cost by leveraging Autoscaling or On-demand
Analyze your DynamoDB usage by monitoring 2 metrics, ConsumedReadCapacityUnits and ConsumedWriteCapacityUnits, in CloudWatch. To automatically scale (in and out) your DynamoDB table, use the AutoScaling feature. Using the steps here, you can enable AutoScaling on your existing tables. Alternately, you can also use the on-demand option. This option allows you to pay-per-request for read and write requests so that you only pay for what you use, making it easy to balance costs and performance.
Implement processes to identify resource waste
Identify Amazon EBS volumes with low-utilization and reduce cost by snapshotting then deleting them
EBS volumes that have very low activity (less than 1 IOPS per day) over a period of 7 days indicate that they are probably not in use. Identify these volumes using the Trusted Advisor Underutilized Amazon EBS Volumes Check. To reduce costs, first snapshot the volume (in case you need it later), then delete these volumes. You can automate the creation of snapshots using the Amazon Data Lifecycle Manager. Follow the steps here to delete EBS volumes.
Analyze Amazon S3 usage and reduce cost by leveraging lower cost storage tiers
Use S3 Analytics to analyze storage access patterns on the object data set for 30 days or longer. It makes recommendations on where you can leverage S3 Infrequently Accessed (S3 IA) to reduce costs. You can automate moving these objects into lower cost storage tier using Life Cycle Policies. Alternately, you can also use S3 Intelligent-Tiering, which automatically analyzes and moves your objects to the appropriate storage tier.
Review networking and reduce costs by deleting idle load balancers
Use the Trusted Advisor Idle Load Balancers check to get a report of load balancers that have RequestCount of less than 100 over the past 7 days. Then, use the steps here, to delete these load balancers to reduce costs. Additionally, use the steps provided in this blog, review your data transfer costs using Cost Explorer.