Thank you for sending your enquiry! One of our team members will contact you shortly.
Thank you for sending your booking! One of our team members will contact you shortly.
Course Outline
Overview of Distributed Systems Architecture
- Definition and scope of distributed computing environments
- Key operational challenges: latency, data consistency, and service availability
- Composition of system components and communication protocols
Scalability Frameworks
- Comparative analysis of vertical and horizontal scaling methods
- Load distribution mechanisms and elastic resource allocation
- Scaling strategies for storage, computational capacity, and input/output operations
Standard Architectural Models
- Client-server paradigms and multi-tier designs
- Service-oriented architecture (SOA) and microservice implementations
- Event-driven architectures and asynchronous messaging queues
CAP Theorem and Data Consistency Standards
- Explanation of the CAP theorem in distributed contexts
- Differentiation between strong consistency and eventual consistency models
- Evaluating trade-offs between data consistency and system availability for government
- Data partitioning and sharding techniques
- Replication methodologies and quorum-based read/write operations
- Utilization of distributed databases and key-value storage systems
Inter-System Communication and Coordination
- API standards (REST, gRPC) and message broker integration (e.g., Kafka, RabbitMQ)
- Distributed consensus algorithms and leader election processes
- Coordination services such as Zookeeper or etcd for state management
Fault Tolerance and System Reliability
- Resilience design principles and graceful failure handling
- Implementation of retry logic, timeouts, and circuit breaker patterns
- Continuous monitoring, observability metrics, and chaos engineering practices
Cloud-Native and Contemporary Deployment Standards
- Containerization, orchestration platforms, and Kubernetes applications
- Adherence to stateless design and immutable infrastructure principles
- Security best practices for secure distributed environments
Conclusion and Strategic Priorities
Requirements
- Demonstrated knowledge of fundamental networking principles and system architecture frameworks
- Proven competence in standard software engineering methodologies
- Proficiency in cloud infrastructure and API specification is advantageous
Intended Audience
- Software architects and technical leadership personnel
- Backend developers and DevOps specialists
- Architects tasked with designing scalable applications for government environments
21 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 updates the course according to the expectations of the learners
Alexandru
Course - Software Architecture in Cloud
Practise exercises in EA.