Logs in the Age of AI: Rethinking Telemetry Economics

AI workloads are driving exponential growth in log and telemetry volume, and many organizations are finding their existing tooling, processes, and budgets cannot scale with that growth. Tool sprawl fragments visibility, investigators lose end-to-end context, and finance and engineering struggle to attribute rising bills. With retention costs increasing, incident investigations slowing, and telemetry complexity delaying AI rollouts, how should leaders reframe the economics and governance of logging to keep AI initiatives moving?

Practitioners are responding with pragmatic operational changes rather than adding more disconnected point tools. Common approaches include consolidating telemetry and log management onto fewer platforms to reduce duplicate ingestion and restore investigative context, rethinking retention and sampling so data kept matches its business value, and formalizing cross-functional accountability so logging cost and quality are treated as shared operational metrics. These measures fit under the broad category of observability consolidation and governance and are being adapted to differing compliance needs, investigation practices, and legacy tool estates.

Join industry peers to compare where telemetry costs and tool fragmentation are causing the most friction, and to discuss concrete trade-offs between retention, coverage, and budget control. Come prepared to share specific pain points and the operating changes you are testing so the group can explore what shifts reduce cost without sacrificing the investigative fidelity needed for reliable AI outcomes.

Dynatrace is advancing observability for today’s digital businesses, transforming the complexity of modern digital ecosystems into powerful business assets. Leveraging AI-powered insights, we enable organizations to analyze, automate, and innovate faster to drive their business forward.