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Serverless Python: Building Applications with AWS Lambda & Google Cloud Functions: A Practical Guide to Cloud-Native Development: Working With AWS Lambda, GCP Functions, and Modern FaaS Architecture - Brossura

 
9798289487629: Serverless Python: Building Applications with AWS Lambda & Google Cloud Functions: A Practical Guide to Cloud-Native Development: Working With AWS Lambda, GCP Functions, and Modern FaaS Architecture

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What You Will Learn in This Book

  • Understand the core principles of serverless computing, including Function as a Service (FaaS) and Backend as a Service (BaaS), and how they differ from traditional architectures.
  • Identify the benefits and drawbacks of serverless for your projects, covering aspects like cost efficiency, scalability, latency, and vendor lock-in.
  • Set up robust development environments for both AWS and Google Cloud, including essential tools like Python, CLIs, and version control.
  • Build, deploy, and manage Python-based serverless functions on AWS Lambda, mastering concepts like handler functions, invocation types, and configuration settings.
  • Integrate AWS Lambda functions with various event sources, such as API Gateway for web APIs, S3 for data processing, DynamoDB streams for data changes, and SQS/SNS for asynchronous communication.
  • Implement advanced AWS Lambda features, including managing dependencies with layers, handling errors with Dead-Letter Queues, and securing functions within VPCs.
  • Develop, deploy, and manage Python-based serverless functions on Google Cloud Functions, understanding entry points, execution models, and core configurations.
  • Connect Google Cloud Functions to diverse triggers, including HTTP for webhooks, Pub/Sub for messaging, Cloud Storage for file events, and Firestore for database changes.
  • Leverage advanced Google Cloud Functions capabilities, such as effective dependency management, error handling, and networking with VPC connectors.
  • Master testing and debugging techniques for both AWS Lambda and Google Cloud Functions, utilizing local emulation tools, unit testing frameworks, and cloud-based observability services like CloudWatch, Cloud Logging, AWS X-Ray, and Cloud Trace.
  • Implement continuous integration and continuous delivery (CI/CD) pipelines for serverless applications using tools like AWS SAM, Serverless Framework, AWS CodePipeline, and Google Cloud Build.
  • Compare and contrast AWS Lambda and Google Cloud Functions across key areas like performance, pricing, developer experience, and security to make informed platform decisions.
  • Apply serverless design patterns and best practices, including statelessness, idempotency, asynchronous communication, and strategies for managing state and optimizing cold starts.
  • Secure your serverless Python applications by applying the principle of least privilege, managing secrets effectively, and understanding common security pitfalls.
  • Gain proficiency in observability strategies for serverless, encompassing structured logging, metrics, alerting, and distributed tracing.
  • Explore emerging trends and the future of serverless computing, including serverless containers, WebAssembly, and edge computing.

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Publishing, PythQuill
Editore: Independently published, 2025
ISBN 13: 9798289487629
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