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Course Outline
Introduction to Distributed Systems
- What constitutes a distributed system?
- Common challenges: latency, consistency, availability.
- Overview of system components and communication models.
Principles of Scalability
- Vertical versus horizontal scaling.
- Load balancing and elasticity.
- Scaling storage, compute, and I/O.
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.
- Strong versus eventual consistency.
- Selecting between consistency and availability.
Data Distribution and Storage Strategies
- Partitioning and sharding.
- Replication strategies and quorum reads/writes.
- Distributed databases and key-value stores.
Communication and Coordination in Distributed Systems
- REST, gRPC, and message brokers (e.g., Kafka, RabbitMQ).
- Leader election and distributed consensus.
- Utilizing Zookeeper or etcd for coordination.
Fault Tolerance and Reliability
- Designing for failure and graceful degradation.
- Retry mechanisms, timeouts, and circuit breakers.
- Monitoring, observability, and chaos engineering.
Cloud-Native and Modern Implementation Practices
- Containers, orchestration, and Kubernetes.
- Statelessness and immutability.
- Best practices for securing distributed systems.
Summary and Next Steps
Requirements
- A foundational understanding of networking and system design concepts.
- Experience with general software development practices.
- Familiarity with cloud computing and API design is advantageous.
Audience
- Software architects and technical leads.
- Backend engineers and DevOps professionals.
- 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.