Total Economic Impact™ Study: 5 Ways Optimizing Java Runtime Performance Delivered 129% ROI

Smart Summary

In a new study commissioned by Azul, Forrester found that customers saved $5.7M over three years with a payback period of less than 6 months. The report also shows how enterprises achieved a 129% ROI by improving Java runtime performance. If Java is costing you more than it should, in this post you’ll learn exactly where the savings come from, including: 

  • Reduction in cloud compute costs of nearly $4 million 
  • Reduction in data center infrastructure costs of $523,000
  • Engineer FTE reallocation to higher-value work of $5.7 million

Organizations are actively scrutinizing their public and private cloud spend and seeking ways to optimize or reduce it, as well as looking for ways to remove productivity blockers for their developers and performance engineers. Our customers are using Azul Prime, the high-performance Java platform, to meet these challenges.   

We know from our customer stories that Azul Prime is helping customers improve scalability, serve more users with the same infrastructure, and boost application performance. To answer how much value Azul Prime delivers in terms of economic impact and on what timeline, we turned to the experts at Forrester Consulting.   

Forrester interviewed decision makers at six different organizations with experience using Azul Prime to identify and analyze the costs and benefits. Forrester then aggregated the responses into a single composite organization for the study.   

Key Findings

Forrester found that Azul Prime delivered $10.2 million in benefits over three years versus costs of $4.4 million, adding up to a net present value (NPV) of $5.7 million and an ROI of 129%. 

Forrester quantified the following benefits of Azul Prime:   

  • Reduction in cloud compute costs of nearly $4 million: With Azul Prime, interviewees reported needing fewer compute instances because of improved JVM performance and a reduction in CPU utilization and latency spikes.   
  • Reduction in data center infrastructure costs of $523,000: Customers saw improvements in capacity planning, ability to reallocate hardware to other workloads, and lower costs.   
  • Engineer FTE reallocation to higher-value work of $5.7 million: Before Prime, engineers spent a significant amount of time handling application performance issues and outages. After Azul Prime, Java performance was more stable and predictable—giving engineers time back to focus on higher-level work.   

Interviewees also shared the following qualitative benefits:   

  • Improved customer experience  
  • JDK license savings  

Check out the details at a glance: 

What could your organization achieve with Azul Prime? Download the full study to access detailed analysis, methodology, and financial modeling, and see what the economic impact could mean for your organization’s Java applications. 

YES! I would like to read the complete study to learn how to reduce cloud costs.