"The data that feeds your observability tools is out of control. Too much of it, low quality, unmanaged, and growing faster than anyone budgeted for. When they started building Sawmills two years ago, this was already a serious pain point. Costs were climbing. Signal-to-noise was degrading. Teams were drowning in telemetry that told them less and less while costing more and more."
"We never fully answered that last question. We just kept buying more storage and paying bigger observability bills and telling ourselves we'd deal with it later. Later is here."
"Developers are not writing most of the code anymore. Agents are. Cursor, GitHub Copilot, and a dozen other tools are generating application code at a pace no human team could match. What is not great is that instrumentation - the telemetry, the logs, the metrics, the traces that feed your observability."
The observability industry has evolved from capturing all data to recognizing that storing everything is financially unsustainable. Teams face escalating costs, degraded signal-to-noise ratios, and overwhelming telemetry volumes that provide diminishing insights. Sawmills, founded by experienced executives from Splunk, New Relic, and other major companies, addresses this critical problem by managing observability data quality and volume. The challenge has intensified with AI coding agents now generating code at unprecedented rates, creating exponentially more instrumentation and telemetry that traditional observability approaches cannot efficiently handle or afford.
Read at DevOps.com
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