BigPanda cuts observability spend by over 60% and ingestion by 93%

BigPanda was drowning in telemetry. Logs were everywhere, costs were spiking, and DevOps teams were locked in a never-ending game of whack-a-mole trying to tame the chaos. “We were still paying for every log we ingested, even if we didn’t index them,” said Ben Neumann, BigPanda’s Senior Director of DevOps.

Enter Sawmills. By analyzing their telemetry data in-stream withSawmills, BigPanda turned raw data into real insights, and cut observability costs by 63%, while slashing ingestion costs by a whopping 93%. No visibility lost. No engineering toil added. With Sawmills’ AI-powered telemetry management, BigPanda:

• Stopped paying for noisy data by filtering logs upstream before ingestion charges hit
• Reclaimed team time with Live Tail and full access to unindexed logs via low-cost storage
• Optimized continuously using real-time AI insights that flag bloat and let teams fix it with one click

And that’s just the start. BigPanda now has a self-tuning observability layer powered by Sawmills AI that enables them to surface telemetry recommendations tuaomtaically and apply changes with a single click. No engineering time required.

Want to see how they did it?
Read the full case study to learn how BigPanda scaled telemetry with Sawmills—without blowing the budget.

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