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AWS Auto Scaling Reviews & Insights

Score9.1 out of 10

110 Reviews and Ratings

AWS Auto Scaling Reviews

5 Reviews

Awesome tool to scale up your product.

Rating: 9 out of 10

Use Cases and Deployment Scope

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.

Pros

  • To spin up new machines quickly
  • To delete the unused machines whenever load gets decreased
  • To support unexpected demand or surge in requests

Cons

  • May be they can add more functionality to the load balancer
  • Also there is scope for improvement in time which it takes to spin up new machines

Likelihood to Recommend

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.
Vetted Review
AWS Auto Scaling
6 years of experience

Super Scale with AWS.

Rating: 8 out of 10
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

  • 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.

Cons

  • 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.
Vetted Review
AWS Auto Scaling
2 years of experience

AWS Auto Scaling

Rating: 9 out of 10

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.

Pros

  • dynamic launch Ec2 Instances
  • Availability and high performance
  • No downtime on server availability

Cons

  • Auto scaling features are very easy to use it.
  • can decrease numbers steps to configure the auto scaling functionality
  • New GUI screen need to improve for auto scaling functionality

Likelihood to Recommend

When servers are facing performance issues and availability issues. AWS Auto Scaling will resolved these issues.
Vetted Review
AWS Auto Scaling
3 years of experience

AWS Auto Scaling benefits

Rating: 7 out of 10
Incentivized

Use Cases and Deployment Scope

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[.]

Pros

  • Better fault tolerance
  • Better availability[,] Amazon EC2 Auto Scaling helps ensure that your application always has the right amount of capacity to handle the current traffic demand
  • Better cost management

Cons

  • Update code and configuration when the number of servers is always changing
  • How will user-uploaded content make it to new servers

Likelihood to Recommend

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[.]

Auto Scaling with AWS

Rating: 9 out of 10
Incentivized

Use Cases and Deployment Scope

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.

Pros

  • Smart scaling decisions
  • Automatically maintain performance
  • Pay per use

Cons

  • Provide more documentations.
  • Provide in-house training for better use of product.

Likelihood to Recommend

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.
Vetted Review
AWS Auto Scaling
3 years of experience