Overview

What is AWS Auto Scaling?

AWS Auto Scaling monitors applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. The vendor states that using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in…

Super Scale with AWS.

8 out of 10

May 06, 2024

Incentivized

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 …

AWS Auto Scaling

9 out of 10

March 22, 2022

We have faced performance issues with on-premise servers. When we launch the infrastructure traffic can't predict. So, AWS Auto Scaling …

AWS Auto Scaling benefits

7 out of 10

April 29, 2021

Incentivized

We have used AWS Auto Scaling in our organization for deploying the models so that we never had to [overutilize] or [underutilized] the …

Auto Scaling with AWS

9 out of 10

April 27, 2021

Incentivized

AWS auto scaling is used for making smart scaling decisions. It is being used to automate and build various scaling plans from different …

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Reviewer Pros & Cons

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Set policies to add more instances when CPU utilization exceeds.
It should suggest sample Groups based on the type of app.

Verified User

Team Lead in Information Technology

Information Technology & Services Company, 51-200 employees

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Pricing

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AWS Auto Scaling

N/A

Unavailable

What is AWS Auto Scaling?

AWS Auto Scaling monitors applications and automatically adjusts capacity to maintain steady, predictable performance at the lowest possible cost. The vendor states that using AWS Auto Scaling, it’s easy to setup application scaling for multiple resources across multiple services in minutes.

Entry-level set up fee?

No setup fee

Offerings

Free Trial
Free/Freemium Version
Premium Consulting/Integration Services

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Product Details

About
Tech Details

What is AWS Auto Scaling?

AWS Auto Scaling Technical Details

Operating Systems	Unspecified
Mobile Application	No

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Reviews and Ratings

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May 06, 2024

Super Scale with AWS.

Verified User

Team Lead in Information Technology

Information Technology & Services Company, 51-200 employees

Score 8 out of 10

Vetted Review

Verified User

Incentivized

Use Cases and Deployment Scope

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.

Pros and Cons

Set policies to add more instances when CPU utilization exceeds.
Prevents downtime, as we don't need to stop the servers.
Auto Scaling group can be setup for different types of apps.

There could be sample templates to use from.
It should suggest sample Groups based on the type of app.

Likelihood to Recommend

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.

Return on Investment

Improves User experience by preventing downtime.
Gives high availability and performance.
It is complex to setup and there R&D time and effort is needed.

Alternatives Considered

Akamai Cloud Computing

1. AWS Auto Scaling has better UI level configuration. 2. Akamai is cheaper.

Other Software Used

Oracle Cloud Infrastructure, Azure App Service, Akamai Cloud Computing

March 22, 2022

AWS Auto Scaling

Verified User

Team Lead in Information Technology

Computer Software Company, 10,001+ employees

Score 9 out of 10

Vetted Review

Verified User

Use Cases and Deployment Scope

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.