Event-driven workflows with Amazon EKS Blueprints, Keda & Karpenter

Introduction

Explanation of event-driven workflows

Importance in modern cloud-native architectures

Brief introduction to Amazon EKS Blueprints, Keda, and Karpenter

Overview of Amazon EKS Blueprints

Definition and purpose

Key features

Use cases and benefits in workflow orchestration

Introduction to Keda

What is Keda?

Core functionality and features

How Keda facilitates event-driven scaling

Understanding Karpenter

Overview and role in AWS infrastructure

Benefits of using Karpenter for scaling workloads

Integration capabilities with EKS and event-driven workflows

Designing Event-driven Workflows

Key principles and best practices

Role of EKS Blueprints in structuring workflows

How Keda and Karpenter enable efficient scaling

Practical Implementation

Setting up Amazon EKS Blueprints

Configuring Keda for event-driven scaling

Deploying Karpenter for efficient resource management

Integration and Compatibility

How EKS Blueprints, Keda, and Karpenter work together

Ensuring compatibility and seamless operations

Example use case and workflow scenario

Benefits of Combining These Technologies

Improved operational efficiency

Cost management and resource optimization

Enhanced scalability and responsiveness

Challenges and Considerations

Common implementation challenges

Strategies for overcoming potential issues

Considerations for maintaining and monitoring workflows

Conclusion

Recap of the importance of event-driven workflows

Final thoughts on leveraging EKS Blueprints, Keda, and Karpenter

Encouragement to explore and implement in AWS environments