What is AWS Auto Scaling | AWS Scalable Architectures
In this article, we will see What AWS Auto Scaling | AWS Scalable Architectures is. One of the essential features of cloud computing is scalability. Scalable infrastructures can help us to scale up or scale down our application in no extra time. It means that cloud infrastructure provides us the ability to adapt the server requirement to the organic traffic for any web application. If you are not sure, how much power or infrastructure your application needs to stay alive, then you can adapt the concept of pay as you go, that means you can scale up or down anytime you want with no extra charges.
What is AWS Auto Scaling
AWS Auto Scaling automatically keeps tracking the performance of all the scalable resources which can span on various cloud services that support the application.
These resources include Elastic Compute Cloud (EC2) Auto Scaling groups, Amazon Elastic Container Service (ECS) components, EC2 Spot Fleets, DynamoDB global secondary indexes or tables, and Aurora replicas or clusters. As demand increased, an AWS Auto Scaling service can automatically scale those resources, and, as market drops, we can mount them back down.
With the AWS Auto Scaling service, you can configure one unified scaling policy per application resources, such as an AWS CloudFormation stack or the set of resource tags. Then, we can add each scalable resource that supports our application to the scaling plan, and define the utilization targets based on which those resources should scale. You can choose to prioritize the application availability, cost optimization or the combination of the two.
The service also offers recommendations for scaling policies based on metrics and thresholds that are popular among AWS users. Also, it enables you to visualize resource utilization across different services in a single user interface.
AWS cloud infrastructure can scale in, scale out, scale up, and scale down depending on the needs upon the system.
Scaling Out: Auto Scaling in AWS
Scaling Out infrastructure also known as a Horizontal Scaling. We can add capacity to the web application by installing new nodes to the system to handle the traffic.
Adding more and more web servers to the application is the perfect example of AWS Scaling out.
Scaling In: Auto Scaling in AWS
It is the exact opposite of Scaling In. When our traffic goes down, then we do not need the extra servers. So we remove the nodes from the system which is called Scaling In in AWS.
If the number of web servers from a web application is reduced, then it is called Scaling In.
AWS Scaling Up
AWS Scaling Up is also called as Vertical Scaling in Cloud services.
Scaling up means when the resources are added to a single component or node to increase its capacity to handle the traffic or load.
If you are running a WordPress website and suddenly, your traffic gets high, then you might need to add more CPUs to balance the traffic load. It is called Scaling Up in cloud terminology. Another example would be to increase the memory of a database server.
AWS Scaling Down
It is a form of Vertical Scaling. It is the opposite of Scaling Up. It means that when the resources are removed from a single component or node to handle decreased traffic.
Reducing the processing capacity of a component like CPU is the exact example of Scaling Down.
Benefits of AWS Auto Scaling
The following are some advantage of AWS Auto Scaling.
Setup Scaling Quickly
AWS Auto Scaling lets us set the target utilization levels for multiple resources in the single, intuitive user interface. You can quickly see an average utilization of all of your scalable resources without having to navigate to the other consoles. For example, if your application uses an Amazon EC2 and Amazon DynamoDB instance, you can use the AWS Auto Scaling to manage the resource provisioning for all of the EC2 Auto Scaling groups and database tables in your application.
Automatically Maintain Performance
Using AWS Auto Scaling, you can maintain optimal application performance and availability, even when the workloads are periodic, unpredictable, or continuously changing. AWS Auto Scaling continuously monitors your applications to make sure that they are running at your desired performance levels. When the demand stalks or increasing, AWS Auto Scaling automatically increases the capacity of constrained resources, so you maintain the high quality of service.
Pay Only For What You Need
AWS Auto Scaling can help us to optimize our utilization and cost performances when consuming the AWS services, so you only pay for the resources you need to run the application. When demand falls, AWS Auto Scaling will automatically eliminate any excess resource capacity, so you avoid any overspending. Auto Scaling is free to use and allows us to optimize the costs of your AWS ecosystem.
Make Smart Scaling Decisions
AWS Auto Scaling lets us develop scaling plans that automate how groups of different resources respond to the changes in demand. We can optimize availability, costs, or balance the both. AWS Auto Scaling automatically builds all of the scaling policies and sets targets for you based on your choice. AWS Auto Scaling monitors our application and automatically adds or eliminates capacity from your resource groups in real-time as demands evolve.
One thing we need to understand when we are building an application is that we must develop an application in such a way that it can be scalable. If we want to take advantage of cloud scalability infrastructure, our application must be scalable.
Conclusively, AWS Scalable Architectures article is over.