Lakebase engineering team talks database resiliency and cloud failures
The Lakebase engineering team has discussed the challenges of database resiliency amidst increasing cloud infrastructure demands. They highlighted the need for high availability and the shift in architecture to accommodate agent-driven workloads. The team is implementing new strategies to enhance reliability and manage capacity effectively.
- ▪Agents are creating databases at a rate four times higher than humans, stressing cloud infrastructure.
- ▪Lakebase's architecture separates compute and storage to improve availability and reduce recovery times.
- ▪The control plane is evolving to handle critical operations, reflecting the changing demands of cloud database services.
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In the last year, agents have strained the limits of cloud infrastructure with new usage patterns:Higher throughput of control-plane operations: Agents programmatically create and manage databases, storage, compute, and other infrastructure components at rates much higher than humans. In Databricks Lakebase, agents create 4x as many databases as humans do.More demand for on-demand: Serverless, autoscaling, and auto-suspend infrastructure is the new norm. If the agent goes to sleep, why pay for provisioned infrastructure?Capacity crunch: Demand for compute, GPUs, and cloud infrastructure is going up. The notion of cloud having “infinite” capacity is showing cracks.This is challenging for both platform builders and cloud providers.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at Databricks.
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