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Explore BanyanDB's innovative hot-warm-cold architecture in this 35-minute conference talk that reveals advanced strategies for optimizing observability systems. Learn from Tetrate Senior Engineer Hongtao Gao as he unveils the technical design principles and implementation details behind BanyanDB's tiered storage approach, demonstrating how different data temperature classifications enable efficient resource utilization and cost optimization. Discover how the hot-warm-cold architecture addresses the challenges of managing large-scale observability data by automatically transitioning data between storage tiers based on access patterns and retention policies. Gain insights into the performance characteristics of each tier, understand the trade-offs between storage costs and query performance, and examine real-world use cases where this architecture delivers significant operational benefits. Master the concepts of data lifecycle management in observability contexts and learn practical techniques for implementing similar tiered storage solutions in your own monitoring and observability infrastructure.
