Distributed Cloud Architecture, Consensus & Microservices
Master CAP theorem, Raft distributed consensus, event-driven architectures, sharding, and fault-tolerant cloud clusters.
Course Overview
Learn how modern cloud infrastructures guarantee reliability and high availability. Build real replicated distributed state machines, explore partition tolerance, and design zero-downtime microservice architectures.
What You Will Learn
Curriculum & Modules
3 Modules • 9 Total LessonsPractical Learning & Cloud Sandboxes
Deploy multi-node networked clusters in browser sandboxes and test network partition failures.
18 automated exercises evaluated against real compilers and standard test matrices in seconds.
8 complete Linux containers launching isolated Docker runtimes, networking, and memory profiling.
Capstone Projects & Deliverables
Fault-Tolerant Replicated Key-Value Cluster
Build a distributed key-value store using the Raft consensus algorithm that survives random node crashes and network splits.
- Go / Java source code
- Distributed chaos test suite
- Architecture specification document
Assessments & Grading
Chaos engineering test harnesses verifying split-brain prevention and automatic leader failover.
Prerequisites & Requirements
- Proficiency in Go, Java, or Python
- Experience with networking concepts (TCP/IP, sockets)
Instructor Profile
Marcus Vance
Cloud Infrastructure Director • Hyperscale Cloud Engineer
Over 15 years leading site reliability engineering and building high-availability distributed control planes for global cloud providers.
Course FAQs
- 60 Hours on-demand video & reading
- 18 in-browser CodeLab exercises
- 8 full Linux cloud virtual labs
- 12 automated unit test suites
- Cryptographic completion diploma
Available in Campus & Department Licenses