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Dive into Uber's innovative Kafka replication system, exploring architectural design, auto-scaling capabilities, and solutions for managing trillions of daily messages across 20+ clusters with high reliability.
Discover how to leverage computer vision and Pulsar streaming for real-time physical operations monitoring, tracking metrics like occupancy, staff engagement, and queue times.
Discover how to build powerful real-time analytics systems by integrating Apache Pulsar, Flink, and Pinot. Learn data processing techniques and implementation strategies for lightning-fast query performance.
Discover how to build advanced real-time analytics systems by integrating Apache Pulsar with ClickHouse and StarRocks, leveraging FunctionMesh for efficient data segmentation and processing at scale.
Discover how Apache Pulsar enables Milvus vector database to achieve billion-scale vector search capabilities through pub/sub architecture and distributed system design.
Explore key stream processing concepts, tools, and architectures to effectively handle real-time data flows, comparing platforms like Apache Flink and RisingWave for optimal implementation.
Discover how FICO leverages Apache Pulsar and Dapr for high-scale messaging, exploring migration strategies, performance benchmarks, and practical implementation tips for event-driven architectures.
Discover how to build and scale operational data layers effectively, focusing on source-to-destination streaming systems and achieving true scalability for large-scale data processing needs.
Discover how to scale Apache BookKeeper beyond petabytes through innovative architecture changes, reduced ZooKeeper load, and proven strategies for managing 500+ node clusters in the cloud.
Discover practical strategies to transform messy data swamps into organized, high-value data lakes through quality controls and automation, enabling reliable AI-ready data streams.
Explore modern data warehousing with DuckDB and MotherDuck's serverless compute, learning to efficiently process diverse data formats and integrate AI workloads for enhanced analytics.
Discover how to build production-grade streaming pipelines using StreamNative and Snowpipe Streaming for high-throughput, low-latency data ingestion into Snowflake warehouses.
Discover how Fluss revolutionizes real-time lakehouses by overcoming Kafka's limitations, enabling seamless streaming analytics and reducing costs by up to 80% for AI applications.
Explore Quality of Service frameworks for Kafka and messaging systems, covering StreamQoS protocol design, dynamic performance negotiation, and observability requirements.
Explore event-driven architectures and multi-agent systems to enhance generative AI workflows with real-time processing, decentralized decision-making, and improved scalability.
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