
Learn to build highly available distributed systems using Akka Distributed Data. Explore CRDTs, data replication, and practical implementation with a live demo.

Explore NoSQL concepts through a 150-line JSON log implementation, covering benchmarks, flexible guarantees, and replication in this JSConfEU 2010 presentation.

Learn to build a distributed data ingestion system using RabbitMQ for cross-region data replication and processing. Explore Federation, multi-protocol support, and sharded queues with Consistent Hash Exchange.

Discover how object storage has become essential for AI architectures, offering superior performance, scalability, and simplicity for managing massive datasets and diverse data formats at enterprise scale.

Discover how JetStream DR platform achieves near-zero RPO through immediate data capture and object-based replication, enabling efficient disaster recovery solutions with flexible recovery options in cloud environments.

Discover how cloud-based disaster recovery solutions can ensure business continuity while reducing costs and simplifying testing procedures, with real implementation cases from SK C&C's enterprise systems.

Discover how to implement high-performance IoT data replication using the Raft consensus protocol, focusing on optimization techniques and practical applications in distributed systems.

Explore the streaming plane concept, data gravity, and efficient data movement strategies for platform engineering. Learn about synchronous vs asynchronous serving and optimizing global data replication.

Aprenda a construir um aplicativo de monitoramento IoT usando InfluxDB e Flask, explorando replicação edge-to-cloud e técnicas avançadas de gerenciamento de dados em tempo real.

Install and explore YugabyteDB, an open-source distributed SQL database compatible with PostgreSQL, on Kubernetes. Learn about data sharding, replication, and geo-distribution for high availability and low latency.

Explore event-driven microservices architecture, including key patterns, Apache Kafka's role, and practical implementation strategies for building scalable and resilient systems.

Explore Elasticsearch's distributed architecture, efficiency, and resilience for modern data challenges. Learn about ingestion, sharding, replication, and search distribution techniques.

Discover how continuous data protection enables seconds-level RPOs while providing early ransomware detection, with practical demonstrations of real-time threat monitoring and secure recovery methods.

Dive into Apache Ozone's distributed object storage system architecture, focusing on Erasure Coding implementation for enhanced storage efficiency and reliability while reducing costs by 50% compared to traditional replication methods.

Explore real-time data integration using SymmetricDS, an open-source solution for syncing databases. Learn to set up and scale data replication across various platforms for improved service offerings and customer insights.

Dive deep into building distributed systems using pure Java, exploring underlying principles and algorithms beyond framework abstractions. Gain insights into REST, HTTP methods, and cluster state management.

Explore Apache Pulsar's capabilities for building scalable, resilient event-driven applications. Learn key concepts, best practices, and see a live demonstration of Pulsar's power in action.

Explore optimal database configurations for business continuity across application tiers in Azure SQL DB. Gain insights into robust strategies for uninterrupted operations.

Explore scaling strategies for Kafka, including horizontal and vertical scaling, replication techniques, and routing events between clusters. Learn to overcome bottlenecks and manage large-scale data processing effectively.

Explore Longhorn: a lightweight, reliable distributed block storage system for Kubernetes, using containers and microservices for efficient data management.

Explore frameworks for detecting replication in diffusion models, identify memorization factors, and learn techniques to reduce data replication during training and inference.