Top 20 AWS CodeDeploy Interview Questions and Answers

Software deployments to multiple compute services, including Amazon Elastic Compute Cloud (EC2), Amazon Elastic Container Service (ECS), AWS Lambda, and your on-premises servers, are automated via the completely managed deployment solution AWS CodeDeploy. By automating software deployments with CodeDeploy, human, prone to error processes are no longer necessary.

Ques. 1): With AWS CodeDeploy, what kinds of apps may be deployed?

Answer:

Any kind of programme can be deployed with AWS CodeDeploy. The files to copy and the scripts to run on each instance during the deployment are specified when using AWS CodeDeploy. Because AWS CodeDeploy supports any custom deployment logic, regardless of the programming language or architecture used, scripts can be used.

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Ques. 2): What platforms is AWS CodeDeploy compatible with?

Answer:

Numerous different operating systems are supported by AWS CodeDeploy. Agents are available from AWS CodeDeploy that have been tried out on Red Hat Enterprise Linux, Amazon Linux, Ubuntu Server, and Microsoft Windows Server. The AWS CodeDeploy agent is free source software, so you can use it with other operating systems.

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Ques. 3): What exactly is AWS CodeDeploy?

Answer:

AWS CodeDeploy is a service that automates the deployment of code to any instance, including instances hosted on-premises and in Amazon EC2. You can deliver new features more quickly, avoid downtime during deployment, and handle the complexity of updating your apps with AWS CodeDeploy. By automating deployments, AWS CodeDeploy eliminates the need for labor-intensive manual processes. The service scales with your infrastructure, allowing you to quickly deploy to one instance or thousands.

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Ques. 4): What distinguishes Amazon CodeDeploy from other AWS management and deployment tools like AWS Elastic Beanstalk and AWS OpsWorks?

Answer:

AWS CodeDeploy is a building block tool designed to assist developers in deploying and updating software on any instance, including instances running on-premises and through Amazon EC2. End-to-end application management solutions are provided by AWS Elastic Beanstalk and AWS OpsWorks.

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Ques. 5): What is a deployment group?

Answer:

The AWS CodeDeploy entity for grouping EC2 instances or AWS Lambda functions in a CodeDeploy deployment is called a deployment group. You target a set of instances connected to an application while using EC2 for deployments. By naming an Auto Scaling group, a tag, or both, you can add instances to a deployment group. In an Amazon Lambda deployment, a deployment group specifies a set of AWS CodeDeploy configurations, such as alarms and rollbacks, for upcoming serverless Lambda deployment to the group.

An application can have numerous deployment groups, such as staging and production. See Dealing with Amazon EC2 Tags in the Console for more details on tags.

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Ques. 6): What are the typical processes involved in utilising AWS CodeDeploy to launch an application?

Answer:

The common steps taken during a deployment are depicted in the diagram below. The first setup step for each application is often creating an application and a deployment group (for definitions of these words, see the Concepts section). Uploading a revision and deploying it are repeatable tasks.

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Ques. 7): How can I use AWS CodeDeploy to deploy an application from my source control system?

Answer:

If you use GitHub, you can publish a revision from your repository straight to instances in.zip,.tar, or.tar.gz format. When deploying code from other source control systems, you can provide the Amazon S3 location and bundle the revision and upload it to an Amazon S3 bucket in a.tar.gz,.zip, or.tar.xz format. Make sure the post-build artefacts are present in the GitHub repository or the Amazon S3 bucket if your application requires a build phase.

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Ques. 8): How does Auto Scaling integrate with AWS CodeDeploy?

Answer:

To guarantee that freshly started instances always receive the most recent version of your application, you can join an Auto Scaling group with a deployment group. Each time an Amazon EC2 instance for that Auto Scaling group is launched, it is first placed in a Pending state before the deployment of the most recent successful revision for that deployment group is triggered on that Amazon EC2 instance. The Amazon EC2 instance's state is updated to InService if the deployment is successful. A new Amazon EC2 instance is launched in the Pending state and a deployment is initiated for the newly launched EC2 instance if the deployment fails.

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Ques. 9): Can I manage access to AWS CodeDeploy using AWS Identity and Access Management (IAM)?

Answer:

Yes. Resource-level permissions are supported by AWS CodeDeploy. You can select which user has access and to what actions for each AWS CodeDeploy resource. For instance, you can configure an IAM policy to only allow users to list revisions for other apps while allowing users to install a specific application. Hence, you may stop users from unintentionally changing the incorrect programme.

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Ques. 10): How are AWS CodeDeploy applications distributed across many regions?

Answer:

When performing deployments, AWS CodeDeploy uses AWS resources in the same area. Create the application in each of your target locations, copy the application bundle to an Amazon S3 bucket there, and then begin the deployments using either a serial or parallel rollout across the regions to spread the deployments out.

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Ques. 11): Can my current tool chain work with AWS CodeDeploy?

Answer:

Yes. Many configuration management, continuous integration, and deployment, as well as source control solutions are compatible with AWS CodeDeploy.

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Ques. 12): How do revisions work?

Answer:

A revision is a particular version of deployable material, which includes an AppSpec file, source code, post-build artefacts, web pages, executable files, and deployment scripts. A revision can be accessed via the AWS CodeDeploy Agent from GitHub or an Amazon S3 bucket.

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Ques. 13): What is a deployment configuration?

Answer:

A deployment configuration outlines the actions that should be taken during deployment, including how to deal with failure, through the use of a deployment group. To deploy with zero downtime to multi-instance deployment groups, you can utilise a deployment configuration. You can define this in your deployment configuration, for instance, if your application requires at least 50% of the instances in a deployment group to be active and handling traffic, preventing downtime from a deployment. Amazon CodeDeploy will deploy to one instance at a time by default if no deployment setting is linked to either the deployment or the deployment group.

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Ques. 14): How will my configuration management tool and AWS CodeDeploy interact?

Answer:

Your configuration management tool can be launched from any AppSpec file deployment lifecycle event hook. For instance, you can define a Chef recipe that you wish to execute as part of a deployment in the relevant AppSpec file deployment lifecycle event hook. The AWS CodeDeploy agent can also be installed on instances using your configuration management tool. for examples that demonstrate integrating configuration management tools like Chef, Puppet, Ansible, and Saltstack with AWS CodeDeploy.

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Ques. 15): How can I keep track of a deployment's progress?

Answer:

The Amazon Management Console, AWS Command Line Interface (AWS CLI), AWS SDKs, and AWS CodeDeploy APIs can all be used to monitor the progress of a deployment.

You may view the general deployment status and then drill down to view the status of every instance and every deployment lifecycle event for the instance. Also, you can examine the log entries associated with every failure, which makes it simple to troubleshoot deployment difficulties without logging into the instance.

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Ques. 16): How can I get notified or alerted when something happens in AWS CodeDeploy?

Answer:

Events that affect your deployments can have notifications created for them. Amazon SNS notifications will be used for notifications. Each notification will have a link to the resources whose event caused it, along with a status message. There is no additional price for notifications, but you can be charged for other AWS services that notifications uses, including Amazon SNS. Consult the alerts user guide to understand how to get started. Customers can also set up notifications to go to their Slack channels or Amazon Chime chat rooms when utilising the AWS Chatbot.

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Ques. 17): An application is what?

Answer:

A group of instances can be served by deploying an application, which is a bundle of software and configuration. The instances in the group often use the same programme. For instance, if you have a sizable distributed system, it's likely that the web layer will be one application and the data tier will be another.

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Ques. 18): What is an AppSpec file?

Answer:

An AppSpec file is a configuration file that details the scripts to run and the files to copy. You place the YAML-formatted AppSpec file in the root directory of your revision. The AppSpec file has two sections and is used by the Amazon CodeDeploy Agent. The source files in your revision that will be copied as well as the final destination folder are specified in the files section for each instance. The location of the scripts to run during each stage of the deployment is specified in the hooks section as relative paths beginning at the revision bundle's root. A deployment lifecycle event is the name given to each stage of a deployment.

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Ques. 19): What modifications must I make to my code before using AWS CodeDeploy?

Answer:

Your code doesn't require any modifications. You only include a configuration file (known as an AppSpec file) in the revision bundle's root directory that lists the files to copy and the scripts to run.

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Ques. 20): How can I restore a previously revised application?

Answer:

You only need to deploy the prior revision in order to roll back an application to it. There is no distinction between redeploy and roll back because AWS CodeDeploy keeps track of the files that were copied for the current version and deletes them before beginning a new deployment. You must, however, confirm that it is possible to roll back the prior updates.

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Top 20 Aws Lambda Interview Questions & Answers

Ques: 1). What exactly is AWS Lambda?

Answer:

AWS Lambda is a serverless computing solution that is one of the best on the market. It enables you to run code without the need for server management or setup. When you consume data, you must pay for the computation time. When you are not running your code, there are no fees to pay. You may use Lambda to run code for any application or backend service virtually, without having to worry about management. All you have to do is upload the code, and Lambda will handle the rest. Lambda is a high-availability service that runs and scales your code. You may even set up the code to call it straight from the mobile app or the web, or from any other AWS accessible.

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Ques: 2). What is the purpose of Lambda?

Answer:

If you need a rapid, one-time function that accomplishes something simple and doesn't require long-running operations or expensive calculations, and you only need it to execute for a brief amount of time, Lambda functions are ideal. They can be provided as parameters into higher-order functions, making them handy in situations when other types of code might not be suitable for the task at hand.

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Ques: 3). What types of programmes can be run on AWS Lambda?

Answer:

AWS Lambda makes it simple to complete a variety of tasks in the cloud. AWS Lambda, for example, can be used to fetch and transform data from Amazon DynamoDB in mobile back-ends. Other tasks that may be done in the cloud with the help of AWS Lambda include handlers that alter and compress objects when they are uploaded to Amazon S3, server-less streaming data processing with Amazon Kinesis, and reporting and auditing of API calls made to any of Amazon's Web Services.

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Ques: 4). What distinguishes Lambda as a time-saving strategy?

Answer:

This is for a variety of reasons. The first is that everything can be stored in the local server memory. Furthermore, data can be directly stored in the database without compromising performance. Additionally, testing is not very difficult. Multiple vendors can simply make integration testing more powerful.

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Ques: 5). What are your thoughts on Auto-Scaling?

Answer:

It's essentially an Amazon Web Services capability that allows you to automatically configure and start up new instances. The good news is that you are not required to intervene at any point. Users may, however, keep track of everything using metrics and criteria. Simply cross a threshold to activate this task, and you'll notice that the instances have scaled horizontally without any intervention.

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Ques: 6). How can a serverless application be automated?

Answer:

An AWS CodePipeline and an AWS CodeDeploy can be used to automate the serverless application's release process. The CodePipeline is a continuous delivery service that allows for the modelling, visualisation, and automation of essential procedures, allowing for the deployment of server-less applications. For Lambda-based apps, CodeDeploy also has an automated deployment engine. It enables you to coordinate deployments using best-practice approaches such as canary and linear deployments, as well as assisting you in establishing major barriers to ensure that the newly deployed software is secure, stable, and ready for industrial usage.

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Ques: 7). What is the best way to troubleshoot a serverless application?

Answer:

By adding X-Ray permissions to the Lambda function's role of execution and changing the function's "mode of tracing" to "active," a Lambda function can be activated for tracking with AWS X-Ray. When you enable X-ray for Lambda functions, AWS Lambda will provide tracing data to X-Ray, including information about the Lambda service used to invoke the function. This will show you the overhead of the Lambda service, the time it takes to execute a function unit, and the time it takes to execute a function. Also, the X-Ray SDK can be included in Lambda deploying the package to create one’s segments of the trace, annotate one’s marks, or view the trace segments for various downstream calls that are made from Lambda function. X-Ray SDKs are presently available for Node.js and Java. Visit the Troubleshooting applications based on Lambda to learn more. AWS X-Ray rates shall apply.

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Ques: 8). Is there a limit on how many AWS Lambda functions may be run at the same time?

Answer:

No. AWS Lambda is built to run multiple instances of functions at the same time. AWS Lambda, on the other hand, has a safety threshold set by default for some consecutive runs for each account per region. The maximum number of times a single AWS Lambda function can be executed in a row can be adjusted, which can be used to set aside a portion of the account concurrency threshold for key functions or reduce traffic rates to downstream resources.

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Ques: 9). What is the definition of a server-less application?

Answer:

Lambda-based apps (also known as server-less applications) are built up of functions that are triggered by different events. One or more of these methods are triggered by events such as object upload to Amazon S3, Amazon SNS, or API activities in a standard server-less application. The functions can work independently or in conjunction with other resources such as DynamoDB tables or Amazon S3 buckets. A function is the most common serverless application.

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Ques: 10). What precisely is deployment automation?

Answer:

It's a lot like programming in another language. However, it alleviated many of the difficulties. The nicest part is the deployment of a pipeline that can be readily built as one gains experience. Automated Deployment reduces human intervention and assists enterprises in ensuring quality-based and best-in-class outcomes.

Ques: 11). What are the features of AWS Lambda that make deployments more automated?

Answer:

AWS lambda supports a variety of environmental factors. When it comes to altering the deployment package, they can be utilised for data and a variety of additional credentials. It also allows aliases because it's a serverless technique. There are a few categories that you may simply think about, such as stage production and development. As a result, functions may be readily evaluated for testing without disrupting the production code. Because the end-point does not change frequently, it is possible to keep up with the task's pace.

Ques: 12). What are the benefits of employing a server-less approach?

Answer:

To begin with, this technique features straightforward procedures that allow for a faster time to market and increased revenue. Users only have to pay when the code is compiling, therefore increasing profitability can save a lot of money. Managing the components of the larger application is also not difficult. Furthermore, the additional infrastructure is not required. The biggest advantage is that customers don't have to worry about the servers where the code is run.

Ques: 13). What is the definition of an external extension? What are some external Lambda runtime extensions?

Answer:

An external extension is one that continues to execute as a separate process in the execution even after the function call has completed. External extensions for Lambda runtimes include:

NET Core 3.1 (C#/PowerShell) ( dotnetcore3. 1 )
Custom runtime ( provided )
Custom runtime on Amazon Linux 2 ( provided. al2 )
Java 11 (Corretto) ( java11 )
Java 8 (Corretto) ( java8. al2 )

Ques: 14). Is it possible to scale Amazon Instance vertically? If so, how would you go about doing it?

Answer:

Yes, it is feasible to scale an Amazon Instance vertically. Here's how to do it:

On top of the already controlling instance, form and twist a new enormous instance.
Try delaying the present instance and separating the source web mass of dispatch and the server.
The next step is to terminate your current instance and detach it from the source quantity.
Make a note of the new machine ID and use the same source mass on your new server.

Ques: 15). What are the many ways to activate Lamda?

Answer:

Lambda can be triggered in three different ways.

API Gateway event:

These are what are known as standard events. When someone calls an API Gateway For Lambda, it will call your lambda function. If you're using the Serverless Framework, you'll need to specify which event type was triggered in the configuration, or serverless.yml.

S3 events:

S3 events happen when someone(s) changes the contents of an S3 bucket. A file can be created, removed, or updated to change the content. When you specify an event, you can choose whether the lambda function creates, destroys, or changes a file.

DynamoDB events:

When someone makes a modification to a record in a DynamoDB table, all of the changes are immediately published in a stream, and the lambda is triggered because there is data in the stream. When there is data in the stream, Lambda can be activated in two different ways. First, the lambda will only be called once if there is specific data in the stream, such as a single database change at a specific time. The second method Lambda is activated is when a stream of events is processed together. Because streams are rather rapid, this significantly reduces the amount of time spent running.

Ques: 16). What are the drawbacks of a serverless architecture?

Answer:

Everything in the Aws lambda has its own set of advantages and disadvantages, depending on the task at hand.

In the serverless technique, the upper limit is strictly on vendor control, which results in higher downtime.

Other difficulties include the loss of system operation and the system's constraints. AWS serverless solution requires dedicated hardware, which is not available.

Most of the time, it is the customer's blunders that cause the issues.

Ques: 17). What are the best security techniques in Lambda?

Answer:

In terms of security, Lambda has some of the best solutions. Identity Access and Management can be used. When it comes to regulating access to resources, this might be advantageous. Another option is privilege, which essentially expands the permissions. Access might be blocked to untrustworthy or unauthorised hosts. The security group has regulations that can be reviewed over time to stay up with the pace.

Ques: 18). In Lambda, what is SQS? What function does it have?

Answer:

SQS is essentially a method for sharing and transmitting information between hosts and connectors. Different Lambda components can be made available, or in other words, communication can be enabled. Even if the functional components aren't the same, they can be linked together. This strategy can eliminate a lot of failures, and components can communicate well with one another.

Ques: 19). In Lambda, what are Final Variables and Effectively Final Variables?

Answer:

Final variables are ones that can't be changed once they've been assigned. They are called essentially variable when they are in an early stage where any type of change is possible. They have yet to be assigned a value. In many circumstances, the outcome is required without constraint, which is why effective variables are used. They can also help with testing. Effective Variables can be used to empower final variables with a variety of additional capabilities. In Lambda, the majority of local expressions are final.

Ques: 20). What are the different types of storage that Amazon offers?

Answer:

There are a variety of storage options for Amazon Lambda, and the main thing to remember is that all of them are the finest in terms of durability and performance. It would not be a problem if you used them together. Accessibility for people with disabilities is also available. Let me give you a few examples, such as EBS, which is a storage tool that is essentially block-level storage. This comes with encryption capabilities, and it's an excellent alternative to think about if your system requires independent storage. The next category is EC2 instances, which are storage discs that are directly attached to the host PC.

This sort of storage is only employed for a short period of time. After then, the user can think about good storage. Until the instances are valid, the user data will be valid. The user can utilise this storage to run instances. The next type is Adding storage -> this is a type of root storage device. This is where you'll find information on the boot instance. The third type is Amazon S3, which is another AWS lambda storage option that is considered a low-cost alternative that can store any quantity of data.

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