BigPanda was scaling quickly, and its telemetry footprint was growing just as fast. Observability costs were rising, and the team still needed complete visibility to support customers and debug issues in real time. But with so many services independently emitting logs, managing volume had become a challenge, and manually adjusting it was like playing whack-a-mole. You’d fix it in one place, and a week later, someone else would unknowingly flood the system again. 

In this webinar, Andru Fanger, Director of SRE at BigPanda, shares how his team modernized their telemetry pipeline using Sawmills’ AI-powered telemetry management to stop the never-ending game of whack-a-mole. They’ll walk attendees through how they achieved a 60% reduction in observability costs, slashed ingest by 90%, and improved telemetry quality and visibility. 

• Slashed observability costs and ingest with Sawmills' unique AI insights to detect, remediate, and deploy telemetry changes instantly without code. 

• Transformed the ongoing chase between DevOps, SREs, and engineering into a unified, collaborative workflow that empowers telemetry owners with control and transparency, while preserving engineering resources for innovation. 

• Improved telemetry quality by leveraging Sawmills AI Insights to drop, sample, aggregate, or transform telemetry at the source.

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