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

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.