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Course Outline
- Introduction.
- Theoretical foundations of distributed systems.
- Benefits and limitations.
- Scalability and reliability capabilities.
- Sharding and partitioning strategies.
- Common architecture patterns.
- 3-Tier architecture.
- Sharding.
- Streaming.
- Lambda and Kappa models.
- Distributed computing.
- Stateless services.
- Patterns for building scalable and reliable stateful services.
- Scalable and highly reliable storage solutions.
- NoSQL capabilities and types.
- Data storage patterns for 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.
- 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)
The trainer's presentation and way of communicating.
Gianpiero Arico - Urmet Spa
Course - Embedded Linux Systems Architecture
The trainer updates the course according to the expectations of the learners