
Explore consistency models in Azure Cosmos DB SQL API, configure settings, and optimize performance through hands-on exercises and demonstrations.

Explore modern database systems, from SQL vs NoSQL to scaling strategies, while learning critical performance innovations and future trends in database architecture and implementation.

Explore NoSQL databases, their advantages over relational databases, and learn when to choose them for modern applications. Gain insights into CAP theorem, ACID vs BASE properties, and data characteristics.

Explore FoundationDB's internals, focusing on external consistency and scalability in distributed databases. Learn about stateful components, API, reads, commits, and failure handling.

Explore event-driven microservices architecture, focusing on domain-driven design, event storming, and cloud-native principles for scalable and autonomous systems.

Explore mixed consistency in distributed systems using ConOpY language and Propel type system for verifying CRDTs, enhancing data replication and local-first applications.

Explore Rhizome, a decentralized database for InterPlanetary Linked Data, and learn how it empowers developers to build innovative peer-to-peer applications with enhanced consistency and privacy.

Explore distributed systems' impact on APIs, discussing real-world implications, functional programming parallels, and data-oriented approaches for modern system design.

Explore Google's Spanner: a planet-scale distributed database with innovative features like lock-free strong reads and globally consistent snapshots, enabled by GPS and atomic clocks.

Explore architectural patterns for building resilient distributed systems, focusing on adaptation, decomposition, consistency, and safety. Learn strategies for system evolution and testing.

Explore hardware-software cooperation for high-performance, strongly consistent persistent memory file systems using Hardware Transactional Memory, overcoming traditional trade-offs between speed and data integrity.

Explores a fault-tolerant data store combining causal and strong consistency for geo-distributed systems, addressing liveness challenges and optimizing durability costs in multi-consistency environments.

Explore Facebook's TAO, a distributed data store designed for efficient social graph access. Learn about its architecture, API, and how it handles billions of reads and millions of writes per second.

Innovative consensus protocol leveraging RDMA for microsecond-scale replication and rapid fail-over in latency-sensitive applications, significantly outperforming existing systems.

Introduces consistency-aware durability for strong consistency in distributed storage. Demonstrates cross-client monotonic reads in ORCA, a modified ZooKeeper, offering improved performance over strongly consistent systems.

Innovative database system for cloud storage, optimizing availability and consistency through distributed architecture. Explores Physalia's design and applications in AWS, offering insights for distributed systems.

Explore a framework for distributed machine learning using parameter servers, enabling scalable processing of petabyte-scale data with billions of examples and parameters across various algorithms.

Explore microservices architecture, implementation in PHP, deployment strategies, and production challenges. Learn core concepts, patterns, and building blocks for complex projects using PHP 7.

Distributed network sequencing system for improved scalability, fault tolerance, and load balancing in distributed applications, offering performance gains over traditional ordering protocols.

Explore refactoring monoliths to distributed systems, addressing challenges and improving modularity. Learn strategies for effective system decomposition and microservices implementation.

Innovative approach to optimize distributed on-disk database transactions using fast 2PC and lock-free read protocol, enabling efficient data prefetching and minimizing contention in datacenter environments.