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AWS
AWS Step Functions
AWS Step Functions
Curriculum
8 Sections
26 Lessons
10 Weeks
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Introduction to AWS Step Functions
3
1.0
Overview of AWS Step Functions
1.0
Key Features and Benefits
1.0
Use Cases for Step Functions
Understanding State Machines and Workflow Design
3
2.0
Concepts of State Machines and Workflow Definitions
2.0
Designing and Defining State Machines
2.0
Exploring States (Task, Choice, Parallel, Pass, Fail, and Succeed)
Creating and Managing Step Functions Workflows
3
3.0
Creating State Machines Using AWS Management Console and CLI
3.0
Configuring Workflow States and Transitions
3.1
Managing Workflow Executions and History
Integrating Step Functions with AWS Lambda and Other Services
5
4.0
Invoking AWS Lambda Functions from Step Functions
4.1
Integrating Step Functions with Amazon S3, DynamoDB, and SNS
4.2
Integrating Step Functions with Amazon S3, DynamoDB, and SNS
4.3
Integrating Step Functions with Amazon S3, DynamoDB, and SNS
4.4
Combining Step Functions with AWS Batch and AWS Glue
Handling Errors and Retries in Workflows
3
5.0
Implementing Error Handling and Retry Logic
5.0
Managing Failures and Timeouts
5.0
Using Catch and Retry Fields in State Definitions
Monitoring and Troubleshooting Step Functions
3
6.0
Using CloudWatch Metrics and Logs for Step Functions
6.0
Setting Up Alarms and Notifications
6.0
Troubleshooting Common Issues and Performance Tuning
Best Practices for Workflow Optimization and Cost Management
3
7.0
Designing Efficient and Scalable Workflows
7.0
Managing Costs and Resource Optimization
7.0
Leveraging Step Functions for Reliable and Fault-Tolerant Architectures
Real-World Use Cases and Scenarios
3
8.0
Case Studies of Step Functions in Action
8.1
Designing and Implementing Complex Workflows
8.2
Addressing Common Challenges and Solutions
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