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Course Outline
Introduction to Distributed Systems
- Defining what a distributed system is
- Addressing common challenges: latency, consistency, availability
- Overview of system components and communication models
Scalability Principles
- Differences between vertical and horizontal scaling
- Load balancing and elasticity
- Scaling storage, compute resources, and I/O operations
Architectural Patterns
- Client-server and multi-tier architectures
- Service-oriented and microservice architectures
- Event-driven architecture and message queues
CAP Theorem and Consistency Models
- Explanation of the CAP theorem
- Comparing strong consistency with eventual consistency
- Making choices between consistency and availability
Data Distribution and Storage Strategies
- Techniques for partitioning and sharding
- Replication strategies and quorum-based reads/writes
- Distributed databases and key-value stores
Communication and Coordination in Distributed Systems
- Protocols such as REST, gRPC, and message brokers (e.g., Kafka, RabbitMQ)
- Leader election mechanisms and distributed consensus algorithms
- Leveraging Zookeeper or etcd for system coordination
Fault Tolerance and Reliability
- Designing systems to anticipate failure and enable graceful degradation
- Implementing retry mechanisms, timeouts, and circuit breakers
- Ensuring monitoring, observability, and conducting chaos engineering
Cloud-Native and Modern Implementation Practices
- Containers, orchestration tools, and Kubernetes
- Principles of statelessness and immutability
- Best practices for securing distributed systems
Summary and Next Steps
Requirements
- A solid understanding of fundamental networking and system design principles
- Practical experience with standard software development practices
- Familiarity with cloud computing concepts and API design is advantageous
Audience
- Software architects and technical team leads
- Backend engineers and DevOps specialists
- System designers focused on building scalable cloud applications
21 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.
