Amazon EC2 Auto Scaling vs. AWS Auto Scaling

If you need to establish a system right away, in the past it took weeks or months to request a quote from the vendor and receive the equipment. Now, with Amazon EC2 in less than tens of minutes or hours, you can create a test environment and test it without any inconvenience.

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.

• Dynamic scaling can be configured to respond to a wide variety of metrics and alerts
• Predictive scaling allows one to get ahead of high traffic events rather than simply reacting to them
• Health checks are configurable based on the needs of your application and architecture

Incentivized

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• 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.

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• Enable cross region auto-scaling. It currently limited to a single region.
• Support custom health check scripts, deeper integration with application-level metrics. At present, health checks are basic.
• Adding cost-aware scaling scripts that factor in instance pricing and recommend optimal configurations based on budget constraints.

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

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Usability is good since we already know how AWS works. For those that are new it might be a little bit confusing at the beginning but they are improving it at a fast pace. Even though AWS keeps changing the user interface constantly, it is still powerful, understandable and easy to use. For technical people, they still offer the CLI.

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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. I gave the rating 10 because it really does help you to handle the sudden spike in number of requests.

The platform works as is. The help and tutorials on the help page can help you to setup the entire platform without problems, and also provides help on a huge variety of problems. Amazon also provides support plans. We have the basic support plan, but Amazon offers three support tiers, and we know that it works perfect.

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The main reason is our total infra is created on AWS and we tend to use the natural service by AWS rather than third party tools, which has more advantages when the auto scaling interacts with other AWS services and its way easy to configure when we compare it with counter parts like Autoscale from Microsoft Azure.

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Used for the below reasons:

• Easy to implement and use
• Pay per use, cost savings
• Automate and build scaling plans
• Automate performance and workload

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• We will devote more time to development than server administration, but we will require additional time if you migrate from another ecosystem.
• Fault detection and reporting are automated in the old server, and bandwidth is fixed per month, but everything is manageable automatically. We only pay for the resources we use.
• After some months, we met our return on investment (ROI).

• 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