Microservice Pattern & Architecture (Java Spring Cloud/Boot)

🚀 Master Microservices with Java Spring Boot & Cloud! 🌟

Course Headline:

Microservice Architecture & Patterns for Many Use Cases. With Full Code Examples Using Java Spring Boot & Spring Cloud!

Before You Purchase:

• ❗ Architecture Focus: This course dives deep into microservice architectures and patterns, not on hand-coding applications from scratch.
• 📚 Complete Source Code: Access to downloadable source code with explanations of the algorithms used.
• 🛠️ Java Spring Knowledge: You should be comfortable coding in Java Spring as the course assumes prior knowledge of Spring programming for REST APIs.
• ℹ️ Spring Basics: A primer on Spring programming is not covered here, so ensure you have that foundation before diving in!
• 🧠 Conceptual Learning: Whether you're a seasoned developer or new to the field, this course offers valuable insights that don't rely on spring programming knowledge.

Microservices architecture has become the backbone for modern application development, offering scalable, resilient solutions that can handle complex problems. However, with its adoption comes a new set of challenges and the need for a mindset shift in approach and technology.

Fortunately, many of these challenges have been addressed by established patterns that serve as design principles for microservices architecture. These patterns are proven solutions derived from collective industry experience. 🌏✨

Course Highlights:

• Understanding the principles of microservice architecture.
• Learning about microservice chassis to enhance productivity and maintainability.
• Organizing clean, standardized microservice code for optimal performance.
• Exploring different approaches to inter-service communication: synchronous and asynchronous.
• Implementing robust service discovery mechanisms.
• Handling communication errors with grace and efficiency.
• Ensuring data consistency across multiple distributed services in transactions.
• Capturing real-time changes in data reliably.
• Querying data effectively from multiple services.
• Understanding event sourcing and replaying data flows.
• Configuring API gateways to facilitate seamless API compositions.
• Implementing caching strategies for performance optimization.
• Setting up monitoring systems to keep track of service health.
• Tracing multi-service call chains for better system understanding.
• Centralizing log and exception tracking for easier troubleshooting.
• Deploying applications as Docker containers for scalable infrastructure.

Technologies in Action:

We will leverage a suite of powerful tools throughout this course:

• 🐜 Apache Kafka: A distributed event streaming platform that's central to the course's examples.
• ☕️ MySQL: The relational database management system we'll use for data storage and management.
• 🔄 Debezium: An open-source distributed platform for change data capture.
• ⛵ Docker: To containerize our applications for consistency across environments.
• 🧭 Hashicorp Consul: A service mesh solution for service discovery and configuration.
• 🏫 Hashicorp Vault: A tool to manage secrets and encrypted data access.
• 📊 Elasticsearch: A search engine for all the things.
• 🎨 Logstash: For processing data collections for Elasticsearch.
• 📈 Kibana: For visualizing and querying data stored in Elasticsearch.
• ⏱️ Zipkin: To trace call chains across services.
• 🚀 Kong API Management: A Microservices Layer (formerly known as the OpenAPI Gateway).

Important Notes:

• The course currently uses Spring Boot version 2.x, with plans to update to Spring Boot 3.0.0 by the instructor's best efforts.
• If you're using the latest Spring Boot 2.x version, the course content should be fully compatible.
• For those adventurous souls using Spring Boot 3.x, most of the course should apply with some potential adjustments. 🚀🔄

Embark on your journey to mastering microservices with Java Spring Boot and Cloud! Join us to transform your coding skills and build robust, scalable applications that can stand up to the challenges of today's technology landscape. 👨‍💻👩‍💻🚀