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As cloud-native services scale, troubleshooting demands also grow exponentially. As service footprints expand, more DevOps cycles are consumed by troubleshooting versus delivering new code, creating barriers to innovation. 

This simple model can be customized with company-specific data to illustrate the challenge in numbers. Beyond the cost of human capital, there are a number of other costs that have a direct impact on troubleshooting costs, such as the escalating costs of infrastructure and third-party SaaS services dedicated to the management of observability data.

Want to understand the ROI your team would recognize with automated root cause analysis? Complete the short form here and we’ll customize the calculator based on your environment to show you how Causely might benefit your team.


This model illustrates the costs and impact of efficiency gains that can be achieved through automated root cause analysis


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Request your custom ROI calculation