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Explore multi-region cluster deployment strategies for real-time data streaming, focusing on optimizing performance, resilience, and cost-efficiency while maintaining data consistency across regions.
Dive into multi-region cluster deployment strategies for real-time data streaming, focusing on optimizing performance, resilience, and cost-efficiency while managing latency and consistency trade-offs.
Gain insights into building real-time data pipelines and AI integrations with Redpanda Connect through practical exercises and hands-on demonstrations led by a solutions architect.
Discover how to efficiently migrate Kafka workloads to Redpanda with a hands-on demonstration of Redpanda Migrator's key features and implementation steps.
Discover how Rivian engineers uncovered and resolved a critical tiered Kafka bug affecting data streaming infrastructure in this technical deep-dive session.
Discover how to connect AI systems with data using Redpanda Cloud's low-code MCP servers through simple YAML configuration and hundreds of plug-and-play connectors.
Discover how to build scalable, cost-efficient IoT architecture using Redpanda for real-time streaming, Iceberg for unified storage, and Prophet for forecasting insights.
Discover how Redpanda Connect MCP Server exposes pipelines, resources, and processors as MCP tools for agents to query in this data streaming engineering demonstration.
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