AWS Auto Scaling

We use AWS auto scaling for scaling up our cloud virtual machines to handle the increase or decrease in workload. It really helps us to satisfy the demand because it doesn't take lot of time to spin up new machines and it is also very cost effective in terms of pricing.

It is well suited for scaling up our cloud virtual machines to handle the increase or decrease in workload. It really helps us to satisfy the demand because it doesn't take lot of time to spin up new machines. If there is unpredictability in the demand it is very useful. But it is a over kill if demand is consistent.

We use AWS Auto Scaling for two purposes: 1. Increase the CPU from 2 to 4 when the number of users is high and the applications respond slowly. 2. Automatically increase the RAM during reporting season when there are high calculations.

1. When down time needs to be eliminated. 2. Have templates that can be used for future application deployments. 3. Templates can serve as a documentation for keep track of server configuration. 4. Handling of high usage periods like reporting season.

We have faced performance issues with on-premise servers. When we launch the infrastructure traffic can't predict. So, AWS Auto Scaling will help us to improved performance when traffic is huge. Which will ensure 100% availability.

When servers are facing performance issues and availability issues. AWS Auto Scaling will resolved these issues.

We have used AWS Auto Scaling in our organization for deploying the models so that we never had to [overutilize] or [underutilized] the resources. This facility is much useful when we have multiple applications deployed and we don't know the capacity needed upfront in which case AWS Auto Scaling takes care of that[.]

There are two elements to auto-scaling. The first, adding/removing servers when [the] load varies, is the easy part. This is what AWS Auto Scaling does. The second is orchestration. This making sure your read replica doesn't receive requests until it is operational or making sure that your new [webserver] has finished starting JBoss, updating its sources, and loading your application before it is registered with the load balancer[.]

AWS auto scaling is used for making smart scaling decisions. It is being used to automate and build various scaling plans from different resources across various departments. It also monitors our applications and automatically adds or removes capacity in real-time. This is very helpful to maintain performance and availability with our workload changing continuously.

Start with reviewing all your in-house applications and make a plan on what all applications can be scaled up. These can be optimized based on cost and performance. With a continuously changing workload, AWS Auto Scaling helps to build and automate the scaling of various applications across various resources. It also helps to manage the performance and workload.