AWS Developer Associate: Application Integration & Microservices

Amazon Web Services 2020    |    Intermediate
  • 22 Videos | 1h 56m 12s
  • Includes Assessment
  • Earns a Badge
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Microservices describe an architecture where software is designed and built as a collection of modular services. In this course, you'll examine how services like Amazon SQS, SNS, and Kinesis are configured and organized in AWS to build highly-available and scalable microservice-based applications. You'll use Amazon SQS to create and configure Standard, FIFO, and Dead Letter queues. Next, you'll create a Topic and a Subscription using Amazon SNS and publish a message to subscribers. Finally, you'll create, use and then delete an Amazon Kinesis Data Stream. This course is one of a collection of courses that prepares you for the AWS Certified Developer - Associate 2020 certification exam.

WHAT YOU WILL LEARN

  • discover the key concepts covered in this course
    recognize when message-oriented middleware (MoM) is used in software applications
    recognize how Amazon Simple Queue Service (SQS) implements message queuing services
    recognize how standard queues are implemented using Amazon SQS
    recognize how dead letter queues are implemented using Amazon SQS
    recognize how first-in first-out (FIFO) queues are implemented using Amazon SQS
    create a standard queue using Amazon SQS
    send a test message through the Amazon SQS Console
    create a dead letter queue using Amazon SQS
    send and receive SQS messages using the AWS CLI
    create a FIFO queue using Amazon SQS
  • create a FIFO queue using the AWS CLI
    recognize how the AWS Simple Notification Service (SNS) manages the delivery of messages to clients or subscribing endpoints
    create a topic and a subscription to the topic using AWS SNS
    subscribe to an SNS topic and publish a message to be distributed to subscribers using the AWS CLI
    create and manage Amazon Kinesis data streams
    recognize how the Kinesis Client Library (KCL) is used to interact with Kinesis streaming services
    recognize how various Kinesis supporting services including Firehose, Analytics, and Security are used on AWS platform
    recognize how Step Functions and Simple Workflow Service (SWF) are used on AWS for managing tasks and workflows across distributed components
    recognize the operational differences between AWS SQS, AWS SNS, and Amazon Kinesis
    recognize how Amazon MQ is used to create a message broker
    summarize the key concepts covered in this course

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    2m 41s
    UP NEXT
  • Playable
    2. 
    Exploring Message Queuing Services
    4m 49s
  • Locked
    3. 
    Exploring Amazon Simple Queue Service (SQS)
    3m 49s
  • Locked
    4. 
    Exploring SQS Standard Queue
    3m 9s
  • Locked
    5. 
    Exploring SQS Dead Letter Queue
    6m 28s
  • Locked
    6. 
    Exploring First-in First-out (FIFO) Queues
    6m 41s
  • Locked
    7. 
    Creating a Standard Queue Using SQS
    4m 46s
  • Locked
    8. 
    Testing SQS in Amazon SQS Console
    4m 31s
  • Locked
    9. 
    Creating a Dead Letter Queue Using SQS
    6m
  • Locked
    10. 
    Working with SQS in the AWS CLI
    5m 51s
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    11. 
    Creating a FIFO Queue Using Amazon SQS
    5m 48s
  • Locked
    12. 
    Creating a FIFO Queue Using AWS CLI
    5m 9s
  • Locked
    13. 
    Exploring the Simple Notification Service (SNS)
    7m 28s
  • Locked
    14. 
    Creating a Topic and Subscription Using SNS
    4m 20s
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    15. 
    Working with SNS in the AWS CLI
    5m 45s
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    16. 
    Managing Amazon Kinesis Data Streams
    8m 21s
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    17. 
    Exploring the Kinesis Client Library (KCL)
    4m 30s
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    18. 
    Exploring Kinesis Analytics, Firehose, and Security
    3m 40s
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    19. 
    Exploring Step Functions and Simple Workflow (SWF)
    4m 28s
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    20. 
    Distinguishing Between SQS, SNS, and Kinesis
    3m 12s
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    21. 
    Exploring Amazon MQ
    2m 52s
  • Locked
    22. 
    Course Summary
    1m 52s

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