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- Core Tech
Microservices Architecture
Microservices Architecture represents a modern approach to building distributed systems where applications are structured as independent, deployable services. This program teaches you to design and implement scalable systems that can evolve independently, enabling teams to develop, deploy, and maintain services autonomously.
You'll learn to create resilient service architectures, implement effective communication patterns, and manage distributed data. The program covers essential aspects including service discovery, load balancing, fault tolerance, and monitoring, providing you with practical experience in building and maintaining distributed systems that can scale effectively.
Content in this path
Beginner
Gain a solid foundation in Microservices by understanding their core principles, architecture, and benefits, providing an essential starting point for transitioning into a Microservices environment.
Intermediate
Advance your Microservices expertise through in-depth exploration of architectural strategies, development and testing practices, DevOps integration, and security techniques, equipping you to build and manage resilient Microservice systems effectively.
- Design and implement microservices using industry-standard patterns and practices
- Transform existing monolithic applications into microservice-based architectures
- Implement effective testing strategies for microservices-based systems
- Configure and manage CI/CD pipelines for microservices deployment
- Develop reactive systems using microservices architecture
- Apply security best practices in microservices development and deployment
- Implement logging and monitoring solutions
- Master inter-service communication patterns and strategies
- Solid understanding of software development principles
- Basic knowledge of REST APIs and web services
- Familiarity with at least one programming language (Java, Python, or Node.js)
- Understanding of basic deployment and operational concepts
- Experience with version control systems (e.g., Git)
- Docker
- Kubernetes
- API Design and Management
- System Resilience
- Fault Tolerance