COURSE DESCRIPTION
Welcome to the AWS Batch course! AWS Batch is a fully managed service that enables developers, scientists, and engineers to easily and efficiently run hundreds to thousands of batch computing jobs on AWS. AWS Batch dynamically provisions the optimal quantity and type of compute resources (such as CPU or memory-optimized instances) based on the volume and specific resource requirements of the batch jobs submitted. This course is ideal for IT professionals, developers, and cloud architects who want to automate the execution of batch processing workloads in the cloud.
In this course, you will learn how to leverage AWS Batch to manage and run batch jobs at any scale. You will explore AWS Batch components, understand how to configure and optimize compute environments, and learn best practices for scheduling and managing batch jobs. By the end of this course, you will be proficient in using AWS Batch to run scalable, cost-efficient batch workloads.
Course Objectives:
- Introduction to AWS Batch
- Understanding AWS Batch Architecture and Key Components
- Setting Up Compute Environments and Job Queues
- Submitting and Managing Batch Jobs
- Configuring Job Definitions and Containerized Workloads
- Monitoring and Troubleshooting Batch Jobs
- Implementing Cost Optimization and Scaling Strategies
- Integrating AWS Batch with Other AWS Services
- Security Best Practices for AWS Batch
- Real-World Use Cases and Scenarios for AWS Batch
- Advanced Batch Workflows and Automation Techniques
Requirements
- Basic knowledge of AWS services and cloud computing
- Familiarity with batch processing concepts
- Understanding of container technologies (Docker) is helpful
Features
- Comprehensive understanding of AWS Batch architecture and components
- Hands-on labs for setting up and running batch jobs with AWS Batch
- Best practices for designing and optimizing batch processing workflows
- Techniques for configuring compute environments and job queues
- Strategies for cost optimization and scaling with AWS Batch
Target audiences
- Cloud architects and engineers
- Developers and data scientists
- IT professionals and system administrators
- Researchers and analysts with batch processing needs
- Anyone interested in automated batch processing in the cloud