2020-12-21T01:49:00Z

What is your primary use case for AWS Auto Scaling?

Miriam Tover - PeerSpot reviewer
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PeerSpot user
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8 Answers

Wai L Lin O - PeerSpot reviewer
Real User
Top 10
2024-03-06T13:01:24Z
Mar 6, 2024

We mostly integrate AWS Auto Scaling with CloudWatch monitoring and set a target CPU utilization for some devices. If our application CPU utilization is higher, we scale using the solution, which is very easy.

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DIRK UYTTERHOEVEN - PeerSpot reviewer
Real User
Top 5Leaderboard
2024-01-12T10:21:01Z
Jan 12, 2024

If we don't use Auto Scaling, then AWS will be much more expensive. It's part of the optimization.

Emmanuel Dibia - PeerSpot reviewer
Real User
Top 5
2023-11-22T17:52:27Z
Nov 22, 2023

We use AWS Auto Scaling to manage load for instances, including factors such as increased traffic. It helps us monitor and set up alerts and scaling policies to manage the memory usage for infrastructure.

CM
Real User
Top 10
2023-08-28T19:05:58Z
Aug 28, 2023

We use the solution to scale instances vertically or horizontally based on what is going on in the environment. It involves increasing the size of CPU utilization. We can decide at what time our instance must be up and running. We can set in our environment that when a session reaches 70 or 80, the tool must add another instance. When it goes down to less than 30, it can reduce the instance, too. It helps us to reduce costs in an environment.

Shubham Chakraworty - PeerSpot reviewer
MSP
Top 5Leaderboard
2023-08-28T16:48:49Z
Aug 28, 2023

We use AWS Auto Scaling to define the number of instances depending on specific requirements.

Alex Kabugo - PeerSpot reviewer
Real User
Top 5Leaderboard
2023-08-21T20:26:28Z
Aug 21, 2023

The good thing about Autoscaling is that it provides the capacity to minimize downtime. So, it gives you the assurance of stability and robustness within your system.

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MinhTran2 - PeerSpot reviewer
Real User
Top 5
2023-02-13T20:14:40Z
Feb 13, 2023

We wanted a determined retail solution in Amazon. Over the course of using it, we have fifteen networks, and we're still using Kubernetes with our Amazon service. We have many specs for another environment. We can configure it easily in other environments using Amazon with Kubernetes scaling.

CloudEngineer213011 - PeerSpot reviewer
Real User
2020-12-21T01:49:00Z
Dec 21, 2020

I, currently, have a large customer with more than 30 servers, which we provide APIs to their customers for online gaming. Their customers are divided into three regions, namely, Asia, Europe, and the rest of the world. If the three default servers required for each region reaches 50% capacity, new servers are automatically launched and the traffic is divided among them. We follow continuous integration or continuous deployment (CI/CD) practices. When all servers are working correctly, we create new servers, configure them, delete the old servers, and the new servers are immediately deployed.

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