HIGH-SCALE SYSTEM DESIGN & DISTRIBUTED SYSTEMS
Microservices, Sharding, Caching, Consensus & High Availability
Program Overview
Engineered for senior developers, lead engineers, and aspiring Staff Architects, this masterclass equips you to design resilient distributed systems capable of serving millions of concurrent requests with sub-50ms latency. You will master architectural estimation heuristics, horizontal scaling, reverse proxies, and Layer 4 versus Layer 7 load balancing strategies.
The curriculum breaks down advanced database sharding, consistent hashing, distributed caching architectures (Redis/Memcached), and consistency models governed by the CAP and PACELC theorems. You will architect high-throughput event streaming pipelines with Apache Kafka, manage distributed transactions with the Saga pattern, and analyze distributed consensus mechanisms like Raft and Paxos.
Guided by Principal Architects, you will dissect real-world architectures from Netflix, Uber, WhatsApp, and Stripe, culminating in rigorous 1:1 system design mock defenses that prepare you for top-tier tech architect interviews.
What You Will Master
Industry-ready capabilities and production skills delivered through this program:
Skills you'll gain
Course Content
Program Prerequisites
- Backend development experience and database fundamentals
- 2+ years of professional software engineering experience
Participant Reviews & Alumni Outcomes
Authentic feedback from verified participants who completed this cohort
“Consensus protocols (Raft, Paxos), distributed transactions (Saga pattern), and database sharding covered at an incredible depth.”
“The architecture diagrams and back-of-the-envelope calculations for 10M+ QPS services were pristine. Best system design cohort around.”
“Addressed real-world failure modes: cache thundering herd, split-brain in distributed partitions, and write amplification in LSM trees.”
“Helped me confidently clear L6/Staff engineering system design rounds at Tier-1 companies. Mentors break down tradeoffs ruthlessly.”
“Deep dives into Kafka event-driven architectures, CDC patterns with Debezium, and global multi-region replication consistency.”
“No buzzword hand-waving. Every component choice is backed by latency percentiles (p99/p99.9), disk IOPS, and network bandwidth numbers.”
Includes live interactive sessions, 1:1 code reviews, LMS access & industry certification
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