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Databricks previews three infrastructure talks at SRECon 2026, covering Kubernetes load balancing, AI-assisted database debugging, and their open-source auto-sharding system Dicer.
•Databricks runs thousands of microservices across AWS, Azure, and GCP; default kube-proxy Layer 4 load balancing causes severe traffic skew for long-lived gRPC HTTP/2 connections, so they built a custom solution instead of adopting Istio.
•An AI-assisted platform was built to unify database debugging signals from Grafana, CLI tools, cloud consoles, and runbooks, reducing onboarding time for new engineers diagnosing OLTP issues.
•Dicer, their open-sourced auto-sharding system, dynamically splits overloaded shards, merges underutilized ones, and replicates data; Unity Catalog achieves 90-95% cache hit rates with it.
•Multi-cloud configuration management across thousands of services, regions, and environments (including government/sovereign regions) is addressed through unified placement configs and deploy
This summary was automatically generated by AI based on the original article and may not be fully accurate.
Databricks
Google Cloud
AWS