TOP 25 Interview Questions on AWS Cloud Computing Services – AutoScaling

1. What is AWS Auto Scaling?

AWS new service may be a AWS Auto Scaling  that helps you optimize the performance of your applications while lowering infrastructure costs by easily and safely scaling multiple AWS resources. It simplifies the scaling experience by allowing you to scale collections of related resources that support your application with just a couple of clicks. AWS Auto Scaling helps you configure consistent and congruent scaling policies across the complete infrastructure stack backing your application. It will automatically scale resources as required to align to a selected scaling strategy, so you maintain performance and pay just for the resources you really need.

2. What are the benefits of AWS Auto Scaling?

AWS Auto Scaling may be a fast, easy thanks to optimize the performance and costs of your applications.

Setup scaling quickly: For all of the scalable resources powering your application AWS Auto Scaling provides a unified scaling experience. You can see the typical utilization for all of your scalable resources and quickly define target utilization levels for every group of like resources from one , intuitive interface.

Make smart scaling decisions: AWS Auto Scaling allows you to automate how groups of various resources answer changes in demand. Easy-to-understand scaling strategies allow you to prefer to optimize availability, costs, or a balance of both. AWS Auto Scaling automatically creates all of the scaling policies and sets targets for you that support your preference.

Automatically maintain performance: AWS Auto Scaling continually monitors resources underlying your application to form sure that they’re operating at your required performance levels. When demand spikes, AWS Auto Scaling automatically increases the capacity of constrained resources so you maintain a top quality of service.

Anticipate costs and avoid overspending: When consuming AWS services so you simply buy the resources you really need, AWS Auto Scaling can assist you optimize your utilization and price efficiencies. When demand drops, automatically remove any excess resource capacity by AWS Auto Scaling, so you avoid overspending.

3. When should I use AWS Auto Scaling?

You should use AWS Auto Scaling if you’ve got an application that uses one or more scalable resources and experiences variable load. A good example is an e-commerce web application that receives variable traffic through the day. With Elastic Load Balancing for distributing incoming traffic It follows a typical three tier architecture, Amazon EC2 for the compute layer, and DynamoDB for the info layer. In this case, AWS Auto Scaling will scale one or more EC2 Auto Scaling groups and DynamoDB tables that are powering the appliance in response to the demand curve.

4. How can I get started with AWS Auto Scaling?

AWS Auto Scaling allows you to pick your applications supported resource tags or AWS CloudFormation stacks. In just a couple of clicks, you’ll create a scaling plan for your application, which defines how each of the resources in your application should be scaled. AWS Auto Scaling creates a target tracking scaling policy for each resource, with the foremost popular metric for that resource type and keeps it at a target value based on your selected scaling strategy. To set target values for your resource metrics, you’ll choose between three predefined scaling recommendations that optimize costs, optimize availability, or balance the 2 . Or, if you prefer, you can define your own target values. It automatically sets the min/max values for the resources.

5. What are the different ways that I can scale AWS resources?

AWS customers have multiple options for scaling resources. Amazon EC2 Auto Scaling helps you make sure that you’ve got the right number of Amazon EC2 instances available to handle the load for your application. EC2 Auto Scaling also can detect when an instance is unhealthy, terminate it, and launch an instance to exchange it. When you use EC2 Auto Scaling, your applications gain better fault tolerance, availability, and price management.

To scale a resource aside from EC2, you’ll use the appliance Auto Scaling API, which allows you to define scaling policies to automatically scale your AWS resources or schedule one-time or recurring scaling actions. Application Auto Scaling can scale Amazon EC2 Spot fleets, Amazon AppStream 2.0 fleets, Amazon ECS services, Amazon EMR clusters, provisioned write and read capacity for global secondary indexes and Amazon Aurora Replicas, Amazon DynamoDB tables, and Amazon SageMaker endpoint variants.

use AWS Auto Scaling to make a scaling plan for the resources underlying your application, To configure automatic scaling for multiple resources. AWS Auto Scaling additionally wants to create predictive scaling for EC2 resources.

6. When should I use AWS Auto Scaling vs. Amazon EC2 Auto Scaling?

AWS Auto Scaling is used to manage scaling for multiple resources across multiple services. Using AWS Auto Scaling to configure scaling policies for all of the scalable resources in your application is quicker than managing scaling policies for every resource via its individual service console. AWS Auto Scaling includes predefined scaling strategies that simplify the setup of scaling policies, It’s also easier. You should also use AWS Auto Scaling if you would like to make predictive scaling for EC2 resources.

You should use EC2 Auto Scaling if you simply got to scale Amazon EC2 Auto Scaling groups, or if you’re only curious about maintaining the health of your EC2 fleet. You should also use EC2 Auto Scaling if you would like to make or configure Amazon EC2 Auto Scaling groups, or if you would like to line up scheduled or step scaling policies.

7. When should I use AWS Auto Scaling vs. Auto Scaling for individual services?

AWS Auto Scaling is used to manage scaling for multiple resources across multiple services. It enables unified scaling for multiple resources, and has predefined guidance that helps make it easier and faster to configure scaling. If you favor , you’ll instead prefer to use the individual service consoles, Auto Scaling API, or Application Auto Scaling API to scale individual AWS services. You should also use the individual consoles or API if you want to set up step scaling policies or scheduled scaling, as AWS Auto Scaling creates target tracking scaling policies only.

8. What is Predictive Scaling?

Predictive Scaling may be a feature of AWS Auto Scaling that appears at historic traffic patterns and forecasts them into the longer term to schedule changes within the number of EC2 instances at the appropriate times going forward. To forecast daily and weekly patterns Predictive Scaling uses machine learning models.

Auto Scaling enhanced with Predictive Scaling simpler, delivers faster, and more accurate capacity provisioning leading to lower cost and more responsive applications. By predicting traffic changes, Predictive Scaling provisions EC2 instances beforehand of adjusting traffic, making Auto Scaling faster and more accurate.

9. Which services can I use Predictive Scaling with?

At this time, Predictive Scaling only generates schedules for EC2 instances.

10. How can I use Predictive Scaling with target tracking?

Predictive Scaling works in conjunction with target tracking to form your EC2 capacity changes more aware of your incoming application traffic. While it sets up the minimum capacity for your application based on target tracking, forecasted traffic changes the actual capacity based on the actual traffic at the moment. Target tracking works to trace the specified capacity utilization levels over varying addresses unpredicted traffic spikes and traffic conditions and other fluctuations. Predictive Scaling and target tracking are configured together by a user to get a scaling plan.

11. What is a scaling plan?

A scaling plan may be a collection of scaling instructions for multiple AWS resources. choose the resource utilization metric that you simply would really like CPU utilization, like to trace , and set the worth to trace , for instance 50%. Finally, you select the CloudWatch metric that represents your input traffic flow – you might have to set this up if you haven’t already.

The resource utilization metric and therefore the incoming traffic metric are the key parameters for the scaling plan. The incoming traffic metric is employed by Predictive Scaling to get traffic forecasts. Predictive Scaling then schedules future scaling actions based on these forecasts, to configure minimum capacity. 

12. Can I configure a scaling plan without Predictive Scaling?

Yes, you’ll configure a scaling plan with only Dynamic Scaling and opt-out of Predictive Scaling. Conversely, you’ll also enable just Predictive Scaling without configuring Dynamic Scaling.

13. How much historical data does Predictive Scaling need to generate the scaling plan?

Predictive Scaling needs up to 2 weeks of historical data but can generate a predictive scaling schedule with as little as a day’s worth of knowledge .

14. How much into the future does Predictive Scaling forecast the traffic?

Every 24 hours, schedules capacity changes for those 48 hours and Predictive Scaling forecasts traffic 48 hours into the longer term.

15. Can I configure Predictive Scaling to provision instances before an actual spike in traffic?

Yes, you’ll optionally configure buffer time to provision instances at a while before a predicted traffic change. This is useful for applications whose EC2 instances need some “warm-up” time before they’re able to serve application traffic .

16. How much does Predictive Scaling cost?

As with other Auto Scaling features, Predictive Scaling is liberal to use. You pay for the resources being utilized for running your applications.

17. What can I scale with AWS Auto Scaling?

You can use AWS Auto Scaling to setup scaling for the subsequent resources in your application through one , unified interface:

• Amazon EC2 Auto Scaling groups
• Amazon Elastic Container Service (ECS) services (currently ECS services can’t be discovered using resource tags)
• Amazon EC2 Spot Fleets
• Amazon DynamoDB throughput capacity
• Aurora replicas for Amazon Aurora

18. How does AWS Auto Scaling make scaling recommendations?

AWS Auto Scaling bases its scaling recommendations on the foremost popular scaling metrics and thresholds used for Auto Scaling. By providing recommendations for the minimum and maximum sizes of the resources, It also recommends safe guardrails for scaling. This way you’ll start quickly and may then fine tune your scaling strategy over time.

19. How do I select an application stack within AWS Auto Scaling?

You can either select an AWS CloudFormation stack or select resources supported by the common resource tag(s). Please note that currently, ECS services can’t be discovered using tags.

20. How does AWS Auto Scaling discover what resources can scale?

AWS Auto Scaling will scan your selected AWS CloudFormation stack or resources with the required tags to spot the supported AWS resource types which will be scaled. Please note that currently, ECS services can’t be discovered using tags.

21. Which regions is AWS Auto Scaling available in?

AWS Auto Scaling is out there in Asia Pacific (Tokyo), Asia Pacific (Mumbai), Canada (Central), US East (Ohio), EU (Ireland), US East (Virginia), US West (Oregon), US West (Northern California), Asia Pacific (Seoul), Asia Pacific (Sydney), Europe (Frankfurt), Europe (London), and Asia Pacific (Singapore).

22. How much does AWS Auto Scaling cost?

Similar to Auto Scaling on individual AWS resources, AWS Auto Scaling is liberal to use. AWS Auto Scaling is enabled by Amazon CloudWatch, so service fees apply for CloudWatch and your application resources (such as Amazon EC2 instances, Elastic Load Balancing load balancers, etc.).

23. What is Scheduled Scaling?

Scaling supported schedules allows you to scale your application before known load changes. For example, hebdomadally the traffic to your web application starts to extend on Wednesday, remains high on Thursday, and starts to decrease on Friday. You can plan your scaling activities to support the known traffic patterns of your web application.

24. What is Dynamic Scaling?

Amazon EC2 Auto Scaling enables you to follow the demand curve for your applications closely, reducing the necessity to manually provision Amazon EC2 capacity beforehand . For example, you’ll use target tracking scaling policies to pick a load metric for your application, like CPU utilization. Or, you could set a target value using the new “Request Count Per Target” metric from Application Load Balancer, a load balancing option for the Elastic Load Balancing service. Amazon EC2 Auto Scaling will then automatically adjust the amount of EC2 instances as required to take care of your target.

25. What is Automatic process control?

You can control the behavior of Auto Scaling’s automatic processes like health checks, launches, and terminations. By default, Auto Scaling automatically terminates the instances from one zone and re-launches them into another if the instances in the fleet are not spread out in a balanced manner.

Note that Auto Scaling always replaces impaired instances with launches that are balanced across zones, no matter this setting. You can also control how Auto Scaling performs health checks, terminations, launches, etc.