Publisher's Synopsis
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.
