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Course Outline
- Introduction
- Theoretical Foundations of Distributed Systems
- Flaws and limitations
- Capabilities for scalability and reliability
- Sharding and partitioning strategies
- Common Architecture Patterns
- 3-Tier architecture
- Sharding
- Streaming architectures
- Lambda and Kappa architectures
- Distributed Computing
- Stateless services
- Patterns for building scalable and reliable stateful services
- Scalable and Highly Reliable Storage
- NoSQL capabilities and data types
- Patterns for data storage in distributed, highly reliable, and scalable systems
- Redis lab exercises
- Scalable and Highly Reliable Message Bus
- Streaming and Event-Driven capabilities and types
- Patterns for event processing in distributed, highly reliable, and scalable systems
- Kafka lab exercises
- Other Critical Architecture Considerations
- Summary and Conclusions
Requirements
- Familiarity with system architecture concepts.
- Experience in designing small-scale systems or services.
- At least 3+ years of programming experience.
Target Audience
- Solution and Application Architects.
- Technical Leaders.
- Senior Engineers.
14 Hours
Testimonials (3)
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)
discover the potential of the tool
wassim - Collins Aerospace
Course - SysML par l'exemple avec Cameo Systems Modeler
Machine Translated
The trainer's presentation and way of communicating.