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Course Outline
- Introduction
- Theoretical foundations of distributed systems
- Flaws and limitations
- Capabilities regarding scalability and reliability
- Sharding and partitioning techniques
- Commonly used architectural patterns
- 3-Tier architecture
- Sharding strategies
- Streaming architectures
- Lambda and Kappa models
- Distributed computing concepts
- Stateless services
- Patterns for building scalable and reliable stateful services
- Scalable and highly reliable storage solutions
- NoSQL capabilities and data types
- Patterns for data storage in distributed, highly reliable, and scalable systems
- Redis lab exercises
- Scalable and highly reliable message buses
- Streaming and Event-Driven capabilities and types
- Patterns for event processing in distributed, highly reliable, and scalable systems
- Kafka lab exercises
- Other critical architectural considerations
- Summary and conclusions
Requirements
- Foundational knowledge of system architecture.
- Practical experience in designing small-scale systems or services.
- At least three years of programming experience.
Audience
- Solution and Application Architects.
- Technical Leaders.
- Senior Engineers.
14 Hours
Testimonials (2)
Prepared project on which we could work from the start without wasting time to set up files not needed in exercises. Readiness to answer all questions that came up from participants.
Robert Walczak - Hitachi Energy
Course - Systems Modeling with SysML and Enterprise Architect (EA)
Practise exercises in EA.