March 28, 2023

Top 20 AWS Application Migration Service (AWS MGN) Interview Questions and Answers

  

The main migration service advised for lift-and-shift migrations to Amazon is AWS Application Migration Service (AWS MGN). For upcoming migrations, customers who presently use Server Migration Service (SMS) are urged to transition to Application Migration Service.

Your transfer to the cloud is sped up and made simpler by Amazon Application Migration Service. You may instantly reap the rewards of moving applications to the cloud without making changes and with little to no downtime.

You can move your applications to AWS from physical infrastructure, VMware vSphere, Microsoft Hyper-V, Amazon Elastic Compute Cloud (AmazonEC2), Amazon Virtual Private Cloud (Amazon VPC), and other clouds using the AWS Application Migration Service.

 

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Ques. 1): What key distinctions exist between Amazon Server Migration Service and AWS Application Migration Service?

Answer:

The Application Migration Service (MGN) offers minute-long cutover windows and continuous, block-level replication. The Server Migration Service (SMS) offers cutover windows of a few hours and gradual, snapshot-based replication.

The main service advised for moving your apps to AWS is Application Migration Service. You have until March 31, 2023, to use SMS APIs in the event that Application Migration Service is not offered in a certain AWS Region.

 

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Ques. 2): How long can my server volumes be replicated from my local environment to AWS?

Answer:

Your local servers can be replicated to Amazon for up to 90 days (per server). Use time is measured from the start of a server replication till the replication task is stopped. Your replication task will be automatically cancelled after 90 days. Please discuss your use case with the AWS Support team if you want to raise this restriction.

 

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Ques. 3): What are the main advantages of transferring on-premise Hyper-V VMs using AWS Server Migration Service?

Answer:

SMS enables users to greatly decrease human effort in migration by automating an incremental replication of live server volumes to the AWS cloud as AMIs. By letting users schedule replications and monitor the progress of a group of servers, SMS manages server migrations, easing the logistical strain of organising massive server migrations. Customers may test server migrations with ease thanks to incremental replication capability.


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Ques. 4): What does AWS Server Migration Service's multi-server migration entail?

Answer:

Applications can now more easily and affordably be moved from on-premises datacenters to Amazon EC2 thanks to the multi-server migration functionality provided by AWS Server Migration Service. Instead of moving each server separately, multi-server migration enables you to move whole application stacks. Applications can be divided into groups of servers, and you can replicate them all together and keep track of their migration progress. With an automatically created CloudFormation Template, you can easily run and configure the migrated application.


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Ques. 5): How can I use Server Migration Service's multi-server migration feature?

Answer:

The first step after importing the on-premises server catalogue into Server Migration Service via the SMS Connector is configuring an application using the CLI or APIs. There is no need to take any more step if you are already utilising Server Migration Service and have setup an SMS role using a managed policy. A new role is necessary for multi-server migration in order to use CloudFormation to launch instances.


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Ques. 6): What kind of consistency is offered by AWS Server Migration Service for snapshots?

Answer:

For the servers that are a part of an application group, AWS Server Migration Service generates crash consistent snapshots. All of the servers inside an application's framework are prompted to take these snapshots at roughly the same time. Moreover, you can use Volume Shadow Copy Service (VSS) to take application consistent snapshots on servers running Windows operating systems in VMware environments.

 

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Ques. 7): What does the AWS Server Migration Service produce?

Answer:

Each duplicated server disc is saved as a fresh Amazon Machine Image (AMI), which is then usable to start an EC2 instance (virtual machine) in the AWS cloud. Server Migration Service will launch the servers in a CloudFormation stack using an automatically created CloudFormation template if you are utilising application groups.


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Ques. 8): In my virtualization environment, is it safe to deploy the AWS Server Migration Service Connector?

Answer:

Absolutely, confidential data is not collected by the AWS Server Migration Service Connector; it simply obtains snapshots of server volumes and basic VM inventory data from VMware vCenter.


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Ques. 9): What System Center permissions are necessary to deploy SMS Connector and begin migration?

Answer:

With the SCVMM server, the SMS connection securely connects using the Windows remote management protocol (WinRM). A non-admin AD user must be added to the SCVMM host's "Remote Management Users" group, have restricted access to the CMIV2 and SCVMM WMI objects, and be a member of the "Delegated administrator" group in order to use the connector. To securely communicate remote commands from Connector deployed on a private network inside your datacenter, a firewall port must be opened on the SCVMM server. Also, the Hyper-V machine's VM data storage needs to provide the AD user read access. For additional security, customers may configure WinRM to allow only encrypted traffic over SSL using self-signed certificate and limit access to Connector IP/hostname alone. 

 

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Ques. 10): How does AWS Server Migration Service's multi-server support function?

Answer:

A replicated application can be launched from a landing zone that you designate, as well as from a group of on-premises servers that can include one or more subgroups. You can also set a replication frequency, offer configuration scripts, and group on-premises servers into an application. After all of the AMIs are available, the Server Migration Service will organise the migration of all the underlying servers that make up the application groups before creating a CloudFormation Template that can be started in the landing zone. Server Migration Service will setup the application in accordance with your selected configuration scripts after you start it using the automatically generated CloudFormation Template.

 

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Ques. 11): After I launch my application in the AWS cloud, how do I reconfigure it?

Answer:

For each server, you can specify a unique configuration script when defining an application. The service will execute the configuration script on your behalf when the server has been launched and transferred to the AWS cloud. For instance, instead of logging into each instance and manually updating it, you can use a configuration script to update database connection strings on your application servers.


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Ques. 12): The Amazon Server Migration Service Connector: What is it?

Answer:

It is a pre-configured FreeBSD virtual computer called the connector appliance (in OVA format). You must first install the Amazon Server Migration Service Connector virtual appliance on your on-premises VMware vCenter system before configuring AWS Server Migration Service.

 

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Ques. 13): Who can benefit from AWS Server Migration Service for Hyper-V?

Answer:

Hyper-V support in SMS is advantageous for any customer looking to move their Microsoft Hyper-V virtual machines managed by SCVMM or standalone Hyper-Vs to AWS. These may include business clients, System integrators, and IT consulting companies who assist business clients in moving their Hyper-V workloads to AWS.

 

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Ques. 14): AWS Server Migration Service is already something I use. How does having this talent help me?

Answer:

With multi-server migration, you can migrate all of your servers at once rather than having to create specialised tooling to manage the migrations of the many servers that make up your application. You may use a CloudFormation Template to launch all of the servers automatically, and you can keep it continuously updated with the most recent AMIs created for each replication run. Without requiring any new setup, you can begin using the multi-server migration.

 

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Ques. 15): Which operating systems are supported by AWS Server Migration Service?

Answer:

Windows Server 2003, 2008, 2012, and 2016 as well as Windows 7, 8, and 10 can be migrated using the AWS Server Migration Service. Red Hat Enterprise Linux (RHEL), SUSE/SLES, CentOS, Ubuntu, Oracle Linux, Fedora, and Debian Linux are all supported.

 

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Ques. 16): What elements does the AWS Server Migration Service for moving Hyper-V virtual machines have?

Answer:

The SMS Connector, an on-premises appliance for SMS, communicates with the AWS service. The SMS service produces the AMI gradually from the transmitted volume after receiving volumes of active Hyper-V VMs from the Connector.

 

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Ques. 17): Can I use Amazon Server Migration Service to transfer the applications listed in AWS Application Discovery Service?

Answer:

Unfortunately, Server Migration Service does not support the application groupings created using AWS Application Discovery Service. For multi-server migration, support is being introduced for apps found or defined in the Application Discovery Service to be made immediately available in the Server Migration Service.

 

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Ques. 18): Which operating systems are supported by AWS Server Migration Service?

Answer:

Windows Server 2003, 2008, 2012, and 2016 as well as Windows 7, 8, and 10 can be migrated using the AWS Server Migration Service. Red Hat Enterprise Linux (RHEL), SUSE/SLES, CentOS, Ubuntu, Oracle Linux, Fedora, and Debian Linux are all supported.

 

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Ques. 19): What vCenter permissions are needed by the AWS Server Migration Service Connector?

Answer:

The ability to create and delete snapshots on VMs that need to be moved to Amazon is a bare minimum need for the AWS Server Migration Service Connector.

 

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Ques. 20): Both VMware and Hyper-V setups are ones I manage. Can I simultaneously move VMware and Hyper-V virtual machines?

Answer:

Sure, but to simultaneously migrate VMs from both VMware and Hyper-V environments, you will require two distinct SMS Connectors.


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March 27, 2023

Top 20 AWS Auto Scaling Interview Questions and Answers


            While your applications are monitored by AWS Auto Scaling, capacity is automatically adjusted to provide constant, predictable performance at the lowest feasible cost. It's simple to build up application scaling for numerous resources across many services in a matter of minutes using Amazon Auto Scaling. You may create scaling plans for resources like Amazon EC2 instances and Spot Fleets, Amazon ECS tasks, Amazon DynamoDB tables and indexes, and Amazon Aurora Replicas using the service's straightforward but effective user interface. With recommendations that let you balance performance, prices, or both, Amazon Auto Scaling simplifies scaling. You may now combine Amazon EC2 Auto Scaling and AWS Auto Scaling to scale extra resources for other AWS services if you already use Amazon EC2 Auto Scaling to dynamically scale your Amazon EC2 instances. With AWS Auto Scaling, your applications always have the right resources at the right time.

 

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Ques. 1): What advantages does AWS Auto Scaling offer?

Answer:

The performance and expenses of your apps may be optimised quickly and easily using AWS Auto Scaling.

Scaling can be set up rapidly thanks to Amazon Auto Scaling, which offers a consistent scaling experience across all the scalable resources that support your application. With a single, user-friendly interface, you can rapidly specify target utilisation levels for each group of similar resources and view the average utilisation for all of your scalable resources.

Make informed scaling choices by automating the way groups of various resources react to changes in demand with AWS Auto Scaling. You can choose to optimise availability, costs, or a balance of the two using simple scaling strategies. According to your preferences, Amazon Auto Scaling automatically generates all scaling policies and establishes objectives for you.

Automatically maintain performance: Amazon Auto Scaling continuously checks that the resources supporting your application are performing at the levels you've set. In order to maintain a high level of service when demand spikes, Amazon Auto Scaling automatically raises the capacity of limited resources.

AWS Auto Scaling can assist you in maximising your utilisation and cost efficiencies while utilising AWS services so that you only pay for the resources you actually require. In order to save you money, Amazon Auto Scaling will automatically eliminate any extra resource capacity when demand declines.

 

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Ques. 2): How can I scale AWS resources in multiple ways?

Answer:

Customers of AWS have a variety of choices for resource scaling. You can make sure that you have the appropriate number of Amazon EC2 instances available to handle the load for your application by using Amazon EC2 Auto Scaling. Moreover, EC2 Auto Scaling has the ability to recognise when an instance is unhealthy, terminate it, and start a new instance in its place. Your applications benefit from improved fault tolerance, availability, and cost control when you use EC2 Auto Scaling.

 

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Ques. 3): When compared to auto scaling for individual services, when should I use Amazon auto scaling?

Answer:

To manage scaling for numerous resources across multiple services, you should use Amazon Auto Scaling. Unified scaling for numerous resources is possible with Amazon Auto Scaling, and provided instructions assist make configuring scaling simpler and quicker. To scale certain AWS services, you can also utilise the individual service consoles, the Auto Scaling API, or the Application Auto Scaling API. If you wish to build up step scaling rules or scheduled scaling, you should also use the separate consoles or API, as Amazon Auto Scaling only generates target tracking scaling policies.


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Ques. 4): How can I combine target tracking with predictive scaling?

Answer:

Target tracking and predictive scaling together increase the responsiveness of your EC2 capacity changes to incoming application traffic. Target tracking modifies the real capacity based on the current traffic, whereas predictive scaling sets the minimum capacity for your application based on anticipated traffic. Target tracking attempts to monitor the desired capacity utilisation levels under a variety of traffic scenarios and takes into account unforeseen traffic spikes and other changes. A user configures predictive scaling and target tracking jointly to produce a scaling plan.


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Ques. 5): With AWS Auto Scaling, what can I scale?

Answer:

Via a single, unified interface, you can utilise AWS Auto Scaling to configure scaling for the following resources in your application:

groups for Amazon EC2 auto scaling:

Services offered by Amazon Elastic Container Service (currently ECS services cannot be discovered using resource tags)

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replicas for Amazon Aurora with a capacity for Amazon DynamoDB throughput


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Ques. 6): What is the price of AWS Auto Scaling?

Answer:

AWS Auto Scaling is free to utilise, just like Auto Scaling on specific AWS resources. Amazon CloudWatch enables AWS Auto Scaling, so service fees for CloudWatch and your application resources apply (such as Amazon EC2 instances, Elastic Load Balancing load balancers, etc.).

 

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Ques. 7): How does AWS Auto Scaling recommend scalability?

Answer:

The most prominent scaling metrics and thresholds utilised for Auto Scaling serve as the foundation for AWS Auto Scaling's scaling recommendations. By offering recommendations for the minimum and maximum sizes of the resources, it also suggests secure scaling guardrails. By doing this, you can start out rapidly and gradually fine-tune your scaling plan.


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Ques. 8): What is a scaling plan?

Answer:

A scaling plan is a set of instructions for scaling various Amazon resources. You set up a scaling strategy by first choosing every EC2 resource that supports your application in AWS Auto Scaling. Then you choose the resource utilisation measure you want to monitor, like CPU utilisation, and set the value to monitor, like 50%. Finally, if you haven't done, you may need to set up the CloudWatch statistic that represents your input traffic flow.

The primary inputs for the scaling strategy are the metrics for resource utilisation and incoming traffic. Predictive Scaling creates traffic projections using the incoming traffic metric.Based on these forecasts; Predictive Scaling then schedules future scaling actions to configure minimum capacity. Dynamic Scaling uses the resource utilization metric and its target value to dynamically change the EC2 capacity for your application over time as traffic varies.


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Ques. 9): How can I begin using Amazon Auto Scaling?

Answer:

You can choose your applications using Amazon Auto Scaling based on resource tags or AWS CloudFormation stacks. You may quickly and easily construct a scaling strategy for your application that specifies how each of its resources should be scaled. According to the scaling method you've chosen, Amazon Auto Scaling builds a target tracking scaling policy for each resource using the most common measure for that type of resource. You can select from three predefined scaling recommendations that optimise availability, optimise costs, or balance the two in order to set target values for your resource metrics. You can also specify your own goal values if you'd like. AWS Auto Scaling also automatically sets the min/max values for the resources.

 

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Ques. 10): When ought I to employ AWS Auto Scaling?

Answer:

If your application employs one or more scalable resources and has fluctuating load, you should use Amazon Auto Scaling. A web application for online shopping that experiences fluctuating traffic throughout the day would be a suitable example. Elastic Load Balancing is used to distribute incoming traffic, Amazon EC2 handles the compute layer, and DynamoDB handles the data layer in accordance with conventional three-tier architecture. In this scenario, EC2 Auto Scaling groups and DynamoDB tables that are supporting the application will be scaled by AWS Auto Scaling in response to the demand curve.


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Ques. 11): What is Predictive Scaling?

Answer:

Amazon Auto Scaling's Predictive Scaling feature analyses past traffic patterns and projects them into the future to plan future adjustments to the number of EC2 instances at the proper periods. Machine learning models are used in predictive scaling to predict daily and weekly patterns.

Predictive scaling combined with auto scaling results in capacity provisioning that is quicker, easier, and more precise, which makes applications more responsive and less expensive. Predictive Scaling makes Auto Scaling faster and more precise by provisioning EC2 instances in ahead of changing traffic.

 

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Ques. 12): AWS Auto Scaling versus Amazon EC2 Auto Scaling: When Should I Use Each?

Answer:

To manage scaling for numerous resources across multiple services, you should use Amazon Auto Scaling. Using specified scaling methods, AWS Auto Scaling enables you to define dynamic scaling policies for numerous EC2 Auto Scaling groups or other resources. It takes less time to manage scaling policies for all of the scalable resources in your application using AWS Auto Scaling than it does using individual service consoles for each resource. Additionally, it is simpler because AWS Auto Scaling comes with predefined scaling strategies that make it simpler to set up scaling policies. If you wish to generate predictive scaling for EC2 resources, you need also use Amazon Auto Scaling.

If you simply need to scale Amazon EC2 Auto Scaling groups or if you only care about keeping the health of your EC2 fleet, you should use EC2 Auto Scaling. If you need to set up scheduled or step scaling policies, or if you need to create or configure Amazon EC2 Auto Scaling groups, you should also use EC2 Auto Scaling (as AWS Auto Scaling supports only target tracking scaling policies).

The EC2 console, the Auto Scaling API, or CloudFormation can all be used to establish and configure EC2 Auto Scaling groups outside of Amazon Auto Scaling. You can configure dynamic scaling policies for your current EC2 Auto Scaling groups with the aid of Amazon Auto Scaling.

 

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Ques. 13): Can Predictive Scaling be set up to provision instances before a traffic increase actually occurs?

Answer:

Yes, you can opportunistically set a buffer time to supply instances ahead of an expected change in traffic. Applications whose EC2 instances require some "warm-up" time before they are prepared to serve application traffic can benefit from this.

 

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Ques. 14): What resources are scalable according to AWS Auto Scaling?

Answer:

In order to find the supported Amazon resource types that can be scaled, AWS Auto Scaling will examine your chosen AWS CloudFormation stack or resources with the provided tags. Please be aware that tags cannot presently be used to find ECS services.

 

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Ques. 15): What resources are scalable according to AWS Auto Scaling?

Answer:

In order to find the supported Amazon resource types that can be scaled, AWS Auto Scaling will examine your chosen AWS CloudFormation stack or resources with the provided tags. Please be aware that tags cannot presently be used to find ECS services.

 

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Ques. 16): How do I choose a stack of applications in AWS Auto Scaling?

Answer:

Choose resources based on a shared resource tag or an AWS CloudFormation stack (s). Please be aware that tags cannot presently be used to find ECS services.

 

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Ques. 17): What volume of historical data is required by Predictive Scaling to produce the scaling plan?

Answer:

Although it can create a prediction scaling schedule with as little as a day's worth of data, predictive scaling requires up to two weeks of historical data.

 

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Ques. 18): Predictive Scaling predicts traffic for how far into the future?

Answer:

Predictive Scaling predicts traffic 48 hours in advance and plans capacity changes for those 48 hours once every 24 hours.

 

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