AWS DynamoDb, S3, SNS, SQS ,Beanstalk with Java

AWS DynamoDb, S3, SNS, SQS ,Beanstalk with Java

AWS DynamoDb, S3, SNS, SQS ,Beanstalk with Java
Integrate AWS -DynamoDb, S3, SNS, SQS ,Beanstalk, CodePipeLine with Spring Boot and Java.

Welcome to the  Learn AWS – DynamoDb, S3, SNS, SQS, Recognition, Beanstalk Class.

Complete AWS Modules integration with Spring Boot and Java class.

In this class, you will be learning the following concepts through practical implementations.

  • Setting up your AWS management console.
  • How to register for various AWS Services.
  • How to Set up Amazon DynamoDB.
    • Integrate Amazon DynamoDB with the application

      through code.

    • create
    • Insert
    • Delete
    • Query Records through Code.
    • working with DynamoMapper
  • How to Set up AmazonS3.
    • Integrate AmazonS3 with the application through

      code.

    • create Buckets
    • Insert Objects in Buckets.
    • Delete Buckets
    • Emptying Buckets
    • Hosting Static Websites
  • How to Set up AmazonSQS
    • Integrate AmazonSQS with the application through

      code.

    • Creation of Queues
    • Publish Messages to Queues.
    • How to use JMS to send Synchronous messages
    • How to use JMS to send Synchronous messages
    • How to use JMS to consume Synchronous messages
    • How to use JMS to consume ASynchronous messages
  • How to Set up AmazonSNS.
    • Integrate AmazonSNS with the application through

      code.

    • create Topics
    • Publish Messages to Topics.
    • Create Subscriptions to Topic.
    • Working with Larger Payloads
  • How to Set up Amazon ElasticBeanStalk.
    • Working with BeanStalk CLI.
    • create Topics
    • How to initialize your instances and setup Servers.
    • How to deploy the Spring Boot Application through CLI.
  • How to Set Up Amazon CodePipeline
    • Integrate Amazon CodePipeline with Amazon CodeBuild
    • Integrate Amazon CodeBuild with GitHub.
    • Integrate Amazon CodePipeline with ElasticBean Stalk.
    • Deploy Spring Boot Application through CodePipeline to BeanStalk Instances

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