The Total Economic Impact™ of Elastic Observability, 2026

For SRE and IT teams, every minute of downtime costs revenue, customer trust, and engineering bandwidth. As AI workloads drive telemetry from thousands to hundreds of millions of signals, the pressure is compounding.

Fragmented tools create visibility gaps, triage slows, and storage costs grow faster than the environments they monitor, forcing teams to cap ingestion and leave critical systems unmonitored.

Elastic Observability overcomes these challenges by unifying telemetry into a single platform with full-scale AI-enabled observability that keeps costs low and performance high no matter the scale.

Elastic commissioned Forrester Consulting to quantify the impact in a Total Economic Impact™ (TEI) study. The findings showed a composite organization achieved a 362% ROI and $22 million net present value over three years, with payback in under six months.

The results of the TEI study show:

  • Up to 75% reduction in system downtime, worth $15.2 million to the composite organization
  • Up to 95% reduction in time spent monitoring and resolving incidents for SRE teams, freeing engineers to focus on strategic work
  • Up to 55% reduction in application deployment and debugging time, saving 263,000 developer hours over three years
  • 70% reduction in observability infrastructure costs through tool consolidation and data tiering

Several of these results are driven by the adoption of AI-enabled observability, as well as cloud monitoring, machine learning, tool automation, and application performance monitoring (APM).

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