Microservices with Python: Design and Implementation: A Comprehensive Guide to Building, Deploying, and Scaling Modern Distributed Systems with FastAP
What You Will Learn in This Book
Fundamentals of Microservices: Grasp the core concepts, benefits, and challenges of microservice architecture, understanding its evolution from monolithic systems.
Microservice Design Principles: Master essential design patterns like Single Responsibility, Bounded Contexts, Design for Failure, and decentralized data management for robust architectures.
Python Development for Microservices: Set up an optimal Python development environment, including essential libraries, version management, and containerization with Docker.
Build RESTful APIs with Python: Develop high-performance and scalable APIs using modern Python frameworks like Flask and FastAPI, incorporating data validation and asynchronous operations.
Inter-Service Communication: Implement various communication patterns, including synchronous (REST, gRPC) and asynchronous (message queues like RabbitMQ and Kafka), and integrate service discovery.
Decentralized Data Management: Apply strategies for managing data consistency across services using patterns such as eventual consistency and the Saga pattern.
Secure Your Microservices: Implement comprehensive security measures, including authentication (JWT, OAuth 2.0), authorization, secure inter-service communication (mTLS), and secret management.
Containerization with Docker: Optimize Dockerfile best practices, utilize Docker Compose for local development, and manage container images for deployment.
Orchestration with Kubernetes: Deploy, scale, and manage your Python microservices effectively on Kubernetes clusters, understanding core concepts like Pods, Deployments, and Services.
API Gateway Implementation: Learn the benefits and patterns of API Gateways, including request routing, security offloading, and the Backend for Frontend (BFF) pattern.
Implement CI/CD Pipelines: Design and automate continuous integration and delivery pipelines for seamless building, testing, and deployment of microservices.
Observability in Distributed Systems: Establish comprehensive logging, monitoring (Prometheus, Grafana), and distributed tracing (OpenTelemetry, Jaeger) to gain deep insights into your applications.
Build Resilient Microservices: Apply advanced resiliency patterns such as timeouts, retries, circuit breakers, and rate limiting to create fault-tolerant systems.
Strategic Testing Approaches: Master various testing methodologies, including unit, integration, contract, and end-to-end testing, specific to microservice environments.
Explore Advanced Topics: Understand serverless microservices (AWS Lambda, GCP Functions), service mesh concepts (Istio, Linkerd), and strategies for evolving your microservice architecture over time.
Real-World Application: Apply all learned concepts through practical case studies, gaining insights into building and managing complex microservice-based solutions.
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