Tag: Docker Container Images are constructed using instructions in a file called Dockerfile

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AWS Serverless – Facts and summaries, Top 20 AWS Serverless Questions and Answers Dump

Definition 1: Serverless computing is a cloud-computing execution model in which the cloud provider runs the server, and dynamically manages the allocation of machine resources. Pricing is based on the actual amount of resources consumed by an application, rather than on pre-purchased units of capacity. It can be a form of utility computing.
Definition 2: AWS Serverless is the native architecture of the cloud that enables you to shift more of your operational responsibilities to AWS, increasing your agility and innovation. Serverless allows you to build and run applications and services without thinking about servers. It eliminates infrastructure management tasks such as server or cluster provisioning, patching, operating system maintenance, and capacity provisioning.

AWS Serverless Facts and summaries

1. The AWS Serverless Application Model (AWS SAM) is a model to define serverless applications. AWS SAM is natively supported by AWS CloudFormation and provides a simplified way of defining the Amazon API Gateway APIs, AWS Lambda functions, and Amazon DynamoDB tables needed by your serverless application.
2. You can use AWS CodePipeline with the AWS Serverless Application Model to automate building, testing, and deploying serverless applications. AWS CodeBuild integrates with CodePipeline to provide automated builds. You can use AWS CodeDeploy to gradually roll out and test new Lambda function versions.
3. You can monitor and troubleshoot the performance of your serverless applications and AWS Lambda functions with AWS services and third-party tools. Amazon CloudWatch helps you see real-time reporting metrics and logs for your serverless applications. You can use AWS X-Ray to debug and trace your serverless applications and AWS Lambda.
4. The AWS Serverless Application Repository is a managed repository for serverless applications. It enables teams, organizations, and individual developers to store and share reusable applications, and easily assemble and deploy serverless architectures in powerful new ways. Using the Serverless Application Repository, you don’t need to clone, build, package, or publish source code to AWS before deploying it. Instead, you can use pre-built applications from the Serverless Application Repository in your serverless architectures, helping you and your teams reduce duplicated work, ensure organizational best practices, and get to market faster.
5. Anyone with an AWS account can publish a serverless application to the Serverless Application Repository. Applications can be privately shared with specific AWS accounts. Applications that are shared publicly include a link to the application’s source code so others can view what the application does and how it works.
6. What kinds of applications are available in the AWS Serverless Application Repository? The AWS Serverless Application Repository includes applications for Alexa Skills, chatbots, data processing, IoT, real time stream processing, web and mobile back-ends, social media trend analysis, image resizing, and more from publishers on AWS.
7. The AWS Serverless Application Repository enables developers to publish serverless applications developed in a GitHub repository. Using AWS CodePipeline to link a GitHub source with the AWS Serverless Application Repository can make the publishing process even easier, and the process can be set up in minutes.
8. What two arguments does a Python Lambda handler function require?
   Event, Context
9. A Lambda deployment package contains Function code and libraries not included within the runtime environment
10. When referencing the remaining time left for a Lambda function to run within the function’s code you would use The context object.
11. Long-running memory-intensive workloads is LEAST suited to AWS Lambda
12. The maximum execution duration of your Lambda functions is Fifteen Minutes
13. Logs for Lambda functions are Stored in AWS CloudWatch
14. Docker Container Images are constructed using instructions in a file called Dockerfile
15. The ECS Task Agent Is responsible for starting and stopping tasks. It runs inside the EC2 instance and reports on information like running tasks and resource utilization
16. AWS ECR Stores Container Images.
17. Elastic Beanstalk is used to Deploy and scale web applications and services developed with a supported platform
18. When deploying a simple Python web application with Elastic Beanstalk which of the following AWS resources will be created and managed for you by Elastic Beanstalk?
    An Elastic Load Balancer, an S3 Bucket, an Ec2 instance.
19. When using Elastic Beanstalk you can deploy your web applications by:
    
    • Configuring a git repository with Elastic Beanstalk so that changes will be detected and your application will be updated.
    • Uploading code files to the Elastic Beanstalk service

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Reference: AWS Serverless

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AWS Serverless: Top 20 Questions and Answers Dump

Q00: You have created a serverless application which converts text in to speech using a combination of S3, API Gateway, Lambda, Polly, DynamoDB and SNS. Your users complain that only some text is being converted, whereas longer amounts of text does not get converted. What could be the cause of this problem?

• A. Polly has built in censorship, so if you try and send it text that is deemed offensive, it will not generate an MP3.
• B. You’ve placed your DynamoDB table in a single availability zone, which is currently down, causing an outage.
• C. Your lambda function needs a longer execution time. You should check how long is needed in the fringe cases and increase the timeout inside the function to slightly longer than that.
• D. AWS X-ray service is interfering with the application and should be disabled.