Edge Native: Bringing the Cloud-Native Development and Operations Experience to the Edge

Overview

Discover how to adapt cloud-native principles for edge computing, addressing challenges of distributed locations, AI deployment, and operational simplicity through practical demonstrations and solutions.

Syllabus

• Introduction to Edge Computing
Definition and Importance
Differences between Edge and Cloud Computing
Overview of Edge Use Cases
• Cloud-Native Principles
Definition and Characteristics
Benefits of Cloud-Native Architectures
Introduction to Cloud-Native Technologies (Kubernetes, Docker, etc.)
• Adapting Cloud-Native Principles to the Edge
Challenges of Edge Environments
Key Considerations for Edge-Native Architectures
Tools and Technologies for Edge-Native Development
• Distributed Locations
Networking and Connectivity
Data Management and Synchronization
Security Considerations
• AI Deployment at the Edge
AI/ML Models and Inference on Edge Devices
Resource Constraints and Optimization
Real-time Data Processing and Analysis
• Operational Simplicity
Automation and Orchestration
Monitoring and Maintenance
Troubleshooting and Debugging Techniques
• Practical Demonstrations and Solutions
Scenario-Based Hands-on Labs
Case Studies and Real-World Implementations
Best Practices and Common Pitfalls
• Future Trends in Edge-Native Development
Emerging Technologies in Edge Computing
The Role of 5G and IoT
Evolving Standards and Ecosystems
• Final Project
Design and Deploy an Edge-Native Application
Addressing Real-World Challenges
Presenting and Evaluating Solutions

Subjects

Programming