Course Outline
Fundamentals of Distributed Systems
- Definition and scope of distributed systems
- Core operational challenges: network latency, data consistency, and service availability
- Summary of essential system components and communication frameworks
Principles of Scalability
- Vertical versus horizontal scaling methodologies
- Implementation of load balancing and elastic resource management
- Optimizing storage, compute resources, and input/output operations
System Architectural Patterns
- Client-server models and multi-tier system designs
- Service-oriented architecture and microservice frameworks
- Event-driven design and message queuing mechanisms
Consistency Models and the CAP Theorem
- Analytical explanation of the CAP theorem
- Differentiating between strong consistency and eventual consistency
- Strategic selection of trade-offs between consistency and availability
Data Distribution and Storage Methodologies
- Techniques for data partitioning and sharding
- Replication methods and quorum-based read/write protocols
- Utilization of distributed databases and key-value storage systems
Communication and Coordination Mechanisms
- Protocols including REST, gRPC, and message brokers such as Kafka and RabbitMQ
- Processes for leader election and distributed consensus
- Leveraging Zookeeper or etcd for system coordination
Fault Tolerance and System Reliability
- Designing for failure scenarios and graceful degradation
- Implementing retry logic, timeout management, and circuit breakers
- Strategies for monitoring, observability, and chaos engineering
Cloud-Native Implementation and Modern Practices
- Containerization, orchestration, and Kubernetes management
- Principles of statelessness and immutable infrastructure
- Security best practices for distributed system environments
Conclusion and Future Directions
Requirements
- Proficiency in fundamental networking principles and system design concepts
- Practical experience with standard software development lifecycles
- Working knowledge of cloud computing environments and API design is advantageous
Target Audience for Government
- Software architects and technical leads
- Backend engineers and DevOps specialists
- System designers responsible for building scalable cloud-based applications
Testimonials (4)
The explanation of all components and usages of them on the examples
Olga Elizova
Course - Enterprise Architecture in the UAF
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 updates the course according to the expectations of the learners
Alexandru
Course - Software Architecture in Cloud
Practise exercises in EA.