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In order to solve the problem of how to increase the flexibility of the system in the cost of optimizing the use of AWS, this article introduces the corresponding analysis and solution in detail, hoping to help more partners who want to solve this problem to find a more simple and feasible method.

Increase system resiliency

Elasticity is mainly achieved through Auto Scaling services provided by AWS.

Amazon EC2 Auto Scaling helps you ensure that you have the right number of Amazon EC2 instances to handle your application load. You can create a collection of EC2 instances, called Auto Scaling groups. You can specify the minimum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that the number of instances in your group will never fall below that number. You can specify the maximum number of instances in each Auto Scaling group, and Amazon EC2 Auto Scaling ensures that the number of instances in your group will never exceed that number. If you specify the required capacity when you create the group or at any time after you create the group, Amazon EC2 Auto Scaling ensures that your group always has this number of instances. If you specify an extension policy, Amazon EC2 Auto Scaling can start or terminate the instance when the requirements of your application increase or decrease.

Almost all businesses have peaks / troughs of traffic. Use Auto Scaling to adapt to changes in demand, automatically add instances during peak periods with large traffic, and automatically reduce instances when traffic decreases, eliminating the need for one-time purchase of resources as in traditional data centers, so as to automatically adapt to changes in demand and reduce usage costs.

Of course, it also depends on the system architecture of the business. Auto Scaling is especially suitable for adding and shrinking instances of running stateless programs, or storing data written to instances in persistent storage (such as S3Magic RDS). This is another topic. How to design a scalable and highly available business architecture is not discussed in depth here.

As shown in the following figure, resource capacity is automatically adjusted based on time or load, and it is not necessary for data center servers to purchase resource capacity according to peak value in advance. The input of cost is reduced.

Based on time, computing resources can be enabled or turned off for time

Based on load, automatically enable or close resources according to load

Also, shutting down unused resources in a timely manner is always one of the best practices for cost optimization.

If you use CloudFormation services, you can manage AWS resources through templates. For some temporary testing requirements, you can configure a template that describes the resources to be used to directly enable AWS-specific environments, including EC2, ELB, RDS, and so on. After the use of resources to reduce costs, re-use the use of CloudFormation for a few minutes to generate the environment, very flexible, but also cost-saving.

This is the answer to the question about how to increase the flexibility of the system in optimizing the use cost of AWS. I hope the above content can be of some help to you. If you still have a lot of doubts to be solved, you can follow the industry information channel for more related knowledge.

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