Master distributed systems design patterns, consensus algorithms, and scalable infrastructure. For enterprise-level architects and developers.
Design and implement fault-tolerant distributed architectures with consensus algorithms and leaderless replication models.
Master PBFT, Raft, and hybrid consensus protocols for validating and securing distributed transactions.
Implement dynamic scaling solutions using weighted round robin, least connections, and predictive routing algorithms.
Design distributed edge architectures for low latency, real-time processing, and fog-based data caching.
A structured path to building production-grade architecture systems with real-world projects
Define architecture requirements using CAP theorem and system failure models for high-availability systems.
Implement consensus protocols like PBft, Rafts, and honeybadgerB with live simulation tools.
Design distributed networks using overlay meshes, routing protocols, and P2P topology patterns.
Implement failure detection, redundancy strategies, and self-healing recovery mechanisms.
Configure HPA, VPA, and custom metrics based auto-scalling policies for cloud-native applications.
Implement zero-trust security with network segmentation, mutual TLS, and hardware enclaves.
Live projects using our architecture best practices and tools
High-availability cloud architecture with automatic failover and distributed redundancy. Used in production by 45+ organizations.
Explore →Multi-continental deployment of Apache Cassandra and CockroachDB in our enterprise production environment.
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