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Serverless Architecture

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Serverless architecture moves computing from physical servers to the cloud. This course provides a broad overview of the different types of design patterns available for serverless application development and deployment. Instructor Lynn Langit covers the core concepts behind serverless, including its costs, benefits, and risks. Then she reviews serverless services, including messaging, storage, streaming, payment processing, and deployment, and related solutions: AWS Lambda, Kinesis, Auth0, Kubernetes, and more. She reviews cloud-native architectures for serverless applications that incorporate third-party APIs, notifications, Internet of Things sensors, big data, and machine learning. Plus, learn about emergent architectures that support migration and hybrid serverless functionality. Each chapter is illustrated with real-world use cases that showcase the cost, scalability, and productivity benefits of serverless architecture in action.


01 - Introduction
  • 01 - Understand serverless
  • 02 - What you should know

  • 02 - 1. Core Serverless Concepts
  • 01 - Defining serverless applications
  • 02 - Save money serverless census example
  • 03 - Categories and base architecture
  • 04 - Which use cases are best serverless
  • 05 - Reviewing the cost of cloud functions
  • 06 - Risks of serverless patterns
  • 07 - Benefits of serverless patterns
  • 08 - Serverless security patterns

  • 03 - 2. Serverless Service Patterns
  • 01 - Serverless services
  • 02 - Storage Object storage and data lakes
  • 03 - Events Handling messages and streams
  • 04 - Are microservices always serverless
  • 05 - Events and microservice serverless data
  • 06 - Common third-party API patterns
  • 07 - Compute Cloud functions
  • 08 - Function layers and SAR
  • 09 - Function deployment patterns
  • 10 - What are serverless containers

  • 04 - 3. Cloud-Native Serverless Architectures
  • 01 - Building cloud-native architectures
  • 02 - Pattern Incorporating third-party APIs
  • 03 - Pattern Event notifications
  • 04 - Pattern Handle IoT events
  • 05 - Pattern Scalable search
  • 06 - Pattern ML classification
  • 07 - Pattern Real-time analysis and ML
  • 08 - Pattern Data lakes

  • 05 - 4. Emergent Serverless
  • 01 - Emergent serverless architectures
  • 02 - Pattern Migrate data warehouse
  • 03 - Pattern Enterprise IoT
  • 04 - Pattern Genomic analysis
  • 05 - Pattern CICD pipeline

  • 06 - Conclusion
  • 01 - Next steps
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    تاریخ انتشار: 12 تیر 1402
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