Forrester TEI Study: 129% ROI by Optimizing Java Runtime Performance

This Forrester Total Economic Impact™ (TEI) study, commissioned by Azul in March 2026, examines how organizations used Java runtime performance to reduce cloud costs and improve operational efficiency.

 

Download the Study

Based on interviews with decision-makers at six Azul Prime enterprise customers the study provides an independent framework to evaluate the financial impact, risks, and tradeoffs of deploying Azul Prime across large‑scale Java environments.

In this study, you’ll discover:

How the composite organization achieved 129% ROI with payback in under six months, and what performance, cost and operational factors contributed to such a measurable return.
Where the most significant financial impact emerged, including which cost categories were affected and how improvements compounded over time as adoption expanded.
How engineering teams changed the way they work once Java performance became more predictable, reducing operational noise and shifting effort to higher‑value initiatives.
What assumptions, risks, and scenarios Forrester modeled.

Download the study to access detailed analysis, methodology, and financial modeling—and see what the economic impact could mean for your organization’s Java applications.

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