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Course Outline
Introduction to Distributed Systems
- What is a distributed system?
- Common challenges: latency, consistency, availability
- Overview of system components and communication models
Scalability Principles
- Vertical vs. 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
- CAP theorem explained
- Strong vs. eventual consistency
- Choosing 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, message brokers (e.g., Kafka, RabbitMQ)
- Leader election and distributed consensus
- Using 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 distributed system security
Summary and Next Steps
Requirements
- An understanding of basic networking and system design concepts
- Experience with general software development practices
- Familiarity with cloud computing and API design is helpful
Audience
- Software architects and technical leads
- Backend engineers and DevOps professionals
- System designers building scalable cloud applications
21 Hours
Testimonials (3)
The trainer's presentation and way of communicating.
Gianpiero Arico - Urmet Spa
Course - Embedded Linux Systems Architecture
Practise exercises in EA.
Pawel - Krajowa Szkola Skarbowosci
Course - UML in Enterprise Architect (workshops)
Good trainer and process of training