Serverless Python
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Home > Computing and Information Technology > Computer programming / software engineering > Programming and scripting languages: general > Serverless Python: Building Applications with AWS Lambda & Google Cloud Functions: A Practical Guide to Cloud-Native Development: Working With AWS Lambda, GCP Function
Serverless Python: Building Applications with AWS Lambda & Google Cloud Functions: A Practical Guide to Cloud-Native Development: Working With AWS Lambda, GCP Function

Serverless Python: Building Applications with AWS Lambda & Google Cloud Functions: A Practical Guide to Cloud-Native Development: Working With AWS Lambda, GCP Function


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About the Book

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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Product Details
  • ISBN-13: 9798289487629
  • Publisher: Independently Published
  • Publisher Imprint: Independently Published
  • Height: 279 mm
  • No of Pages: 258
  • Returnable: N
  • Sub Title: Building Applications with AWS Lambda & Google Cloud Functions: A Practical Guide to Cloud-Native Development: Working With AWS Lambda, GCP Function
  • Width: 216 mm
  • ISBN-10: 8289487622
  • Publisher Date: 24 Jun 2025
  • Binding: Paperback
  • Language: English
  • Returnable: N
  • Spine Width: 14 mm
  • Weight: 607 gr


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