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Self-Study: Serverless Architecture 2 - Advanced Concepts and Patterns (2.14)

 

Brief

This module builds on the fundamentals of serverless architecture, diving into advanced concepts such as serverless patterns, architectural best practices, and real-world use cases.

Videos

  1. Advanced Serverless with AWS Lambda
  2. Learn about advanced features and use cases of AWS Lambda.
  3. Watch the video: https://www.youtube.com/watch?v=TAB9CSIaAGw&ab_channel=DigitalCloudTraining
  4. Serverless Patterns and Best Practices
  5. Explore architectural patterns like microservices and event-driven systems.
  6. Watch the video: https://www.youtube.com/watch?v=0XqdJmgw-ng&ab_channel=DevoxxPoland
  7. Serverless APIs with AWS
  8. Understand how to create serverless RESTful APIs using AWS services.
  9. Watch the video: https://www.youtube.com/watch?v=jgpRAiar2LQ&ab_channel=TinyTechnicalTutorials

Readings

  1. Serverless Patterns
  2. Discover common serverless patterns and their implementations.
  3. Read more: https://martinfowler.com/articles/serverless.html
  4. Event-Driven Architectures
  5. Learn how serverless platforms enable event-driven architectures.
  6. Read more: https://aws.amazon.com/event-driven-architecture/
  7. Monitoring and Debugging Serverless Applications
  8. Learn about monitoring tools and debugging techniques for serverless applications.
  9. Read more: https://docs.aws.amazon.com/lambda/latest/dg/monitoring-functions.html

Key Concepts

  1. Advanced Serverless Patterns
  • Microservices: Using serverless functions as independent components.
  • Event-Driven Systems: Triggering workflows based on events like HTTP requests or file uploads.
  • Serverless APIs: Using API Gateway with serverless functions for backend logic.
  1. Advanced Features
  • Stateful Workflows: Managing state using tools like AWS Step Functions.
  • Cold Starts: Minimizing latency in serverless function execution.
  • Monitoring and Debugging: Using tools like AWS CloudWatch and X-Ray.
  1. Common Challenges in Serverless
  • Latency: Managing delays caused by cold starts.
  • Debugging: Addressing complexities in distributed serverless environments.
  • Vendor Lock-In: Dependency on specific cloud providers.
  1. Advanced Use Cases
  • Machine Learning: Running lightweight models for inference.
  • IoT Backends: Processing data from IoT devices.
  • Real-Time Applications: Building chat systems or live dashboards.

Helpful Links (References)

  1. AWS Lambda Documentation
  2. Learn how to create and manage functions with AWS Lambda.
  3. Visit: https://docs.aws.amazon.com/lambda/
  4. Google Cloud Functions Documentation
  5. Explore event-driven serverless offerings from Google Cloud.
  6. Visit: https://cloud.google.com/functions
  7. Azure Functions Documentation
  8. Discover Microsoft’s serverless computing platform.
  9. Visit: https://learn.microsoft.com/en-us/azure/azure-functions/
  10. Red Hat Serverless Overview
  11. Understand serverless architecture and its benefits in cloud-native apps.
  12. Visit: https://www.redhat.com/en/topics/cloud-native-apps/what-is-serverless

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