#1 most frequent
United States of America
74.9%409 installations of 546
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.
Categories & Use Cases
Who Buys & Uses AWS Auto Scaling
#2 most frequent
India
6.2%34 installations of 546
#3 most frequent
Canada
5.5%30 installations of 546
Awesome tool to scale up your product.
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
Return on Investment
- It really helped us to save some cost
- It has increased the revenue of our product as well
- It also has less fault tolerance so the customers are satisfied
Usability
Alternatives Considered
Azure Cloud Services and Google Cloud AI
Other Software Used
AWS Certificate Manager, AWS CloudTrail, Google Cloud BigTable
Super Scale with AWS.
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.
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
Other Software Used
Oracle Cloud Infrastructure, Azure App Service, Akamai Cloud Computing
AWS Auto Scaling benefits
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
Most Important Features
- Automatic resource discovery
- Built-in scaling strategies
Return on Investment
- Better fault tolerance.
- Almost availability of our services
- Reduced cost
Alternatives Considered
IBM Cloud Bare Metal Servers and Faronics Core
Other Software Used
Azure Cosmos DB, TIBCO ActiveMatrix BPM, Amazon SageMaker
AWS Auto Scaling
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
Most Important Features
- Increase and decrease capacity when we need based on demand traffic.
- optimize the cost effective and consuming AWS resources
- scaling plan and effectiveness
Return on Investment
- optimized the cost effectiveness
- save lot of money which help the organization to use it in effective areas
- Not applicable for all use cases.It is specific use cases and business problems
Other Software Used
Azure Batch, AWS Batch, Google Authenticator
Auto Scaling with AWS
Pros
- Smart scaling decisions
- Automatically maintain performance
- Pay per use
Cons
- Provide more documentations.
- Provide in-house training for better use of product.
Return on Investment
- Pay per use, great ROI.
- Saves cost across departments.
- Workload and pc.
Other Software Used
Azure App Service, Google Cloud Dataflow