AWS CSA
  • Introduction
  • 1. AWS Overview
    • 1.1 AWS global Infrastructure
    • 1.2 Networking and Content Delivery
    • 1.3 Computing
    • 1.4 Storage
    • 1.5 Databases
    • 1.6 Migration Services
    • 1.7 Analytics
    • 1.8 Security and Identity
    • 1.9 Management Tools
    • 1.10 Application Services
    • 1.11 Developer Tools
    • 1.12 Mobile Services
    • 1.13 Desktop and App Streaming
    • 1.14 Artificial Intelligence
    • 1.15 Messaging
  • 2. IAM - Identity Access Management
    • 2.1 IAM Introduction
    • 2.2 IAM Labs
    • 2.3 Create a billing alart
    • 2.4 IAM Conclusion
  • 3. S3 - Simple Storage Service
    • 3.1 S3 Introduction
    • 3.2 S3 Labs
    • 3.3 Version Control Labs
    • 3.4 Cross Region Replication
    • 3.5 Life Cycle Management
    • 3.6 CloudFront
    • 3.7 CloudFront Labs
    • 3.8 S3 Security and Encryption
    • 3.9 Storage Gateway
    • 3.10 Snowball
    • 3.11 Snowball Labs
    • 3.12 S3 Transfer Acceleration
    • 3.13 Create a static web page using S3
    • 3.14 Storage Summary
  • 4. EC2 - Elastic Compute Cloud
    • 4.1 EC2 Introduction I
    • 4.2 EC2 Introduction II
    • 4.3 EC2 Lab 1
    • 4.4 EC2 Lab 2
    • 4.5 Security Groups Lab
    • 4.6 Upgrade EBS Volume Types - Lab1
    • 4.7 Upgrade EBS Volume Types - Lab2
    • 4.8 RAID, Volumes & Snapshots
    • 4.9 Create An AMI - Lab
    • 4.10 AMI's EBS Root Volumes vs. Instance Store
    • 4.11 Elastic Load Balancer & Health Check - Lab
    • 4.12 CloudWatch EC2 - Lab
    • 4.13 The AWS Command Line & EC2
    • 4.14 Using IAM Roles with EC2
    • 4.15 S3 CLI & Regions
    • 4.16 Using Bootstrap Scripts
    • 4.17 EC2 Instance Metadata
    • 4.18 Launch Configurations & Auto Scaling Groups
    • 4.19 EC2 Placement Groups - Exam Must Know
    • 4.20 Elastic File System (EFS) Lab
    • 4.21 Lambda Concepts
    • 4.22 Build A Serverless Webpage Using API Gateway & Lambda
    • 4.23 Use Polly to Pass Your Exam - Lab of a Serverless Application
    • 4.24 Use Polly to Pass Your Exam - Lab of a Serverless Application
    • 4.25 EC2 - Summary & Exam Tips
  • 5. Route53
    • 5.1 DNS 101
    • 5.2 Route53 - Register A Domain Name - Lab
    • 5.3 Setup Our EC2 Instances - Lab
    • 5.4 Routing Policies - Lab
  • 6. Databases on AWS
    • 6.1 Databases 101
    • 6.2 Launching an RDS Instance - Lab
    • 6.3 RDS - Backups, Multi-AZ & Read Replicas
    • 6.4 DynamoDB
    • 6.5 Redshift
    • 6.6 ElastiCache
    • 6.7 Aurora
    • 6.8 Database Summary
  • 7. VPC
    • 7.1 VPC Overview
    • 7.2 VPC Lab - Part 1
    • 7.3 VPC Lab - Part 2
    • 7.4 NAT Instances & NAT Gateways
    • 7.5 Network Access Control Lists vs. Security Groups
    • 7.6 Load Balancers & Custom VPCs
    • 7.7 VPC Flow Logs
    • 7.8 NATs vs. Bastions
    • 7.9 VPC End Points
    • 7.10 VPC Clean Up
    • 7.11 VPC Summary
  • 8. Application Services
    • 8.1 SQS - Simple Queue Service
    • 8.2 SWF - Simple Workflow Service
    • 8.3 SNS - Simple Notification Service
    • 8.4 Elastic Transcoder
    • 8.5 API Gateway
    • 8.6 Kinesis 101
    • 8.7 Kinesis Streams Lab
    • 8.8 Application Services Summary
  • 9. White Paper Reviews
    • 9.1 Overview of AWS
    • 9.2 Overview of Security Processes - Part 1
    • 9.3 Overview of Security Processes - Part 2
    • 9.4 Risk & Compliance Whitepaper
    • 9.5 Storage Options in the Cloud Whitepaper
    • 9.6 Architecting For The Cloud Best Practices Whitepaper
  • 10. Well Architected Framework
    • 10.1 Introduction of Well Architected Framework
    • 10.2 Pillar One - Security
    • 10.3 Pillar Two - Reliability
    • 10.4 Pillar Three - Performance
    • 10.5 Pillar Four - Cost Optimization
    • 10.6 Pillar Five - Operational Excellence
    • 10.7 Well Architected Framework - Summary
  • 11. Additional Exam Tips
    • 11.1 Exam Tips Based On Student Feedback
    • 11.2 Consolidated Billing
    • 11.3 AWS Organizations - Lab
    • 11.4 Cross Accounts Access
    • 11.5 Resource Groups & Tagging
    • 11.6 VPC Peering & ClassicLink
    • 11.7 Direct Connect
    • 11.8 Security Token Service
    • 11.9 Active Directory Integration
    • 11.10 Workspaces
    • 11.11 ECS - Part 1 - What is Docker
    • 11.12 ECS - Part 2 - What is ECS
    • 11.13 CloudFormation - A Brief Introduction
    • 11.14 Step Functions - A Brief Introduction
  • 12. Practice Tests Questions Summary
    • 12.1 Whizlabs - Free Test
    • 12.2 Whizlabs - Diagnosis Test
    • 12.3 Whizlabs - Practice Test I
    • 12.4 Whizlabs - Practice Test II
    • 12.5 Whizlabs - Practice Test III
    • 12.6 Whizlabs - Practice Test IV
    • 12.7 Whizlabs - Practice Test V
    • 12.8 Whizlabs - Practice Test VI
    • 12.9 Whizlabs - Practice Test VII
    • 12.10 Whizlabs - Section Tests - Part 1
    • 12.11 Whizlabs - Section Tests - Part 2
    • 12.12 Udemy - Final Quiz
  • 13. The Real World - Creating a fault tolerant Word Press Site
    • 13.1 Getting Setup
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  • What is SWF
  • Uses cases on AWS Docs:
  • SWF vs. SQS
  • SWF Actors

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  1. 8. Application Services

8.2 SWF - Simple Workflow Service

What is SWF

Amazon Simple Workflow Service (Amazon SWF) is a web service that makes it easy to coordinate work across distributed application components. Amazon SWF enables applications for a range of use cases, including media processing, web application back-ends, order/business process workflows, and analytics pipelines, to be designed as a coordination of tasks. Tasks represent invocations of various processing steps in an application which can be performed by executable code, web service calls, human-being actions, and scripts (doesn't have to involve EC2 instances or AWS related services).

Uses cases on AWS Docs:

  • Video encoding using Amazon S3 and Amazon EC2.

  • Migrating components from the datacenter to the cloud.

  • Processing large product catalogs with human works using Amazon Mechanical Turk.

SWF vs. SQS

  • SQS has retention period of 14 days, SWF up to 1 year for workflow executions.

  • Amazon SWF presents a task-oriented API, whereas Amazon SQS offers a message-oriented API.

  • Amazon SWF ensures that a task is assigned/processed only once is never duplicated. With Amazon SQS, you need to handle duplicated messages and may also need to ensure that a message is processed only once.

  • Amazon SWF keeps track of all the tasks and events in an application. With Amazon SQS, you need to implement your own application-level tracking, especially if your application uses multiple queues.

SWF Actors

You must remember these 3 kinds of actors:

  • Workflow Starters - An application that can initiate (start) a workflow. Could be your e-commerce website when placing an order or a mobile app searching for bus times.

  • Deciders - Control the flow of activity tasks in a workflow execution. If something has finished in a workflow (or fails) a Decider decides what to do next.

    • Amazon SWF maintains the workflow execution history and provides it to a decider along with decision task. This enables you to dynamically add or remove deciders as necessary, which makes the processing of your workflows highly scalable.

    • Every time a state change occurs for a workflow execution, Amazon SWF schedules a decision task. Each time a decider receives a decision task, it does the following:

      • Interprets the workflow execution history provided with the decision task.

      • Applies the coordination logic based on the workflow execution history and makes decisions on what to do next.

      • Completes the decision task and provides a list of decisions to Amazon SWF.

  • Activity Workers - Carry out the activity tasks.

Previous8.1 SQS - Simple Queue ServiceNext8.3 SNS - Simple Notification Service

Last updated 5 years ago

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