System Design for Scale, Failure, and Evolution

4-Day Advanced Cohort for Staff+, L8–L10 Engineers

“You’ll of course be able to design systems like YouTube by the end of this course — but that’s not the point. Our focus is on the underlying principles: consistency, concurrency, coordination, and the realities of failure. Once you master those, designing anything becomes a matter of structured thought — not memorized patterns.”
— Chiradip Mandal, Distributed Systems Expert -

*“This course is deliberately designed to have academic rigor and industrial strength. Aimed for the professional students who wants to learn and master Distrbuted Systems”.

What You’ll Master:

• Consistency Models: Linearizability, causal consistency, eventual consistency with formal analysis
• Consensus Algorithms: Raft, Paxos, distributed coordination at scale
• Scalability Patterns: Partitioning, replication, isolation with quantitative tradeoff analysis
• Failure Resilience: Recovery protocols, observability, and system evolution

Dates: August 5, 6, 8, 9, 2025
Format: 4 days × 2 hours (1h theory + 0:30m hands-on GitHub workshops)
Includes: Live sessions, collaborative GitHub projects, lifetime alumni network, early access to Designing Ultra-Large-Scale Systems book

Perfect for: Staff+, Principal, Distinguished Engineers ready to move beyond interview patterns to principled system design

Investment: $1,250 USD
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Join a cohort of senior engineers building systems that survive failure and time.