BigID, the data security and privacy pioneer that innovated the identity-aware discovery engine, was staring down spiraling observability costs. With logs and metrics flooding into Datadog across multiple regions, their DevOps team was locked in a constant battle with rising bills—filters, exclusions, and sampling had all fallen short.
Enter Sawmills’ AI-powered telemetry management. Placed upstream in their data flow, Sawmills enabled BigID to intelligently route, aggregate, and format logs—all in one centralized interface. Low-priority logs were automatically redirected to Amazon S3 for rehydration instead of being ingested, saving costs without compromising auditability.
Even better? Sawmills’ in-stream Insights surfaced problematic patterns—like redundant logs and noisy debug entries—and provided instant, one-click optimizations straight from the UI, requiring no engineering effort.
The Results That Stopped DevOps in Their Tracks:
- 81% reduction in log costs—a massive blow to their Datadog bill
- 89% decrease in daily telemetry ingest, from 111 TB to just 12 TB per day
- 92% drop in message volume, from 72.8 billion to 5.46 billion messages per day
- Complete compliance with full log rehydration via S3, no ingest fees attached
For BigID, this wasn’t just a matter of cost savings—it was about reclaiming control, eliminating noise, and empowering DevOps to innovate, not just outrage over invoices.🚀
Read the full case study to explore how BigID did it.
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