Mastering Observability at Scale

About this Resource

Enterprise observability costs are spiraling out of control. Gartner reports that 44% of enterprises now spend over $1 million annually on observability, with more than half going to log storage alone. This playbook diagnoses the root cause — not the tools, but the data foundation beneath them. It covers five workloads that justify architectural change, a proven reference architecture for storing logs, metrics, and traces at enterprise scale, and real customer deployments that delivered measurable cost and performance improvements. A decision framework tailored for VP Engineering, CIO, and CISO audiences helps teams make the business case internally. The guide also addresses why observability modernization efforts stall and how to move past common organizational blockers.

Key Takeaways:

44% of enterprises spend over $1 million per year on observability, with most of that cost driven by log storage — a signal that the infrastructure layer, not the tooling, is the primary cost driver.

A high-performance object storage foundation built on MinIO AIStor can cut observability infrastructure costs by 60–80% while sustaining petabyte-scale query performance for logs, metrics, and traces.

The playbook includes a structured decision framework for VP Engineering, CIO, and CISO stakeholders to evaluate observability modernization ROI and align on an investment path forward.

Who this is for

Engineering and infrastructure leaders — including VP Engineering, CIO, and CISO — responsible for enterprise observability, telemetry cost management, and platform modernization.

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