AWS Batch enables developers, scientists, and engineers to efficiently run hundreds to thousands of batch computing jobs on AWS. With AWS Batch, you don’t need to install or manage batch computing software, allowing you to focus on analyzing results and solving problems. AWS Batch dynamically provisions the optimal quantity and type of compute resources based on the volume and specific resource requirements of the batch jobs submitted.
What You’ll Learn
Basics of AWS Batch: Understand the core concepts and components of AWS Batch, including job definitions, job queues, and compute environments.
Setting Up AWS Batch: Learn how to set up and configure AWS Batch, including IAM roles and permissions.
Running Batch Jobs: Discover how to create and run batch jobs, manage job queues, and monitor job executions.
Advanced Features: Explore advanced topics like using spot instances, integrating with other AWS services, and optimizing resource usage.
Best Practices: Gain insights into best practices for cost-effective and efficient batch processing on AWS.
Chapter 1: Introduction to AWS Batch
Definition and Benefits
Chapter 2: Getting Started with AWS Batch
Setting up Your AWS Environment
Creating Compute Environments
Chapter 3: Job Definitions and Queues
Creating and Managing Job Definitions
Configuring Job Queues
Chapter 4: Executing and Monitoring Jobs
Submitting Batch Jobs
Monitoring and Logging
Chapter 5: Integrating with Other AWS Services
Using AWS Lambda, S3, and other services with AWS Batch
Chapter 6: Advanced Techniques
Chapter 7: Security and Compliance
IAM Roles and Policies
Compliance with AWS Standards
Chapter 8: Best Practices and Cost Management
Effective Resource Utilization
Chapter 9: Troubleshooting and Support
Common Issues and Solutions
AWS Support and Resources
FAQs (Frequently Asked Questions)
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