Enterprises around the world are embracing DevOps for the promises it brings including more rapid releases, increased productivity, enhanced quality, and financial returns.
Despite this enthusiasm, there’s one question that continues to vex many DevOps adopters—can the ROI of DevOps really be measured?
CloudBees explored this specific topic in a blog. We’ve highlighted some of their findings and also added our own insights into tactics you can use to calculate the impact DevOps has on your enterprise.
Is DevOps Measurable?
The answer to this question depends on who you ask. For some like Michael Cote, the verdict is no. In a blog post, Cote observed that: “[DevOps] has value, to be sure, but is nearly impossible to measure independently and precisely.”
The flipside of this coin is not only can DevOps be measured, but it should be. A recent CloudBees study of more than 100 enterprises revealed that continuous delivery powers an average efficiency gain of 66 hours per developer each year. For teams of 100, this means 6,600 additional hours that can be put towards innovation with an annual financial value estimated around $350,000.
Click here to access the infographic.
Although measuring DevOps can be challenging, understanding the impacts it has on your enterprise is a crucial step to take in understanding its true value.
How Do You Measure the Impact of DevOps on Your Enterprise?
1. Time
Perhaps DevOps’ biggest promise is increased speed—faster deployment, more rapid time to market, and more. But what does that really mean?
Think of it this way. Traditionally, sales spike following the initial release of a product or service, and then slow down until your next launch. Revenues come to follow this same pattern of rise-fall-rise-fall. If you interrupt this trend with more frequent releases, what will happen? There might still be peaks and valleys, but revenue overall will increase and be more consistent over time.
2. Quality
Whereas time is often measured alongside revenue, quality is seen more from a cost-avoidance standpoint.
Consider this example. The average developer salary at an enterprise is $60/hour, and a failed build takes three hours to fix. If quality can be improved and deployments made more consistently successful, that’s a savings of $360 per week per developer.
3. Productivity
Efficiency is one of the hardest pieces to quantify, but that doesn’t mean it can’t be done. It just means you have to get creative.
Pay attention to measurable metrics like:
- Deployment time and release frequency
- Lead time to deploy
- Restore times
- Infrastructure recovery and resiliency
- Automated processes
Though productivity is not as exact a science as time or quality, there is typically a strong correlation between an enterprise’s organizational performance and their financial results.
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We support a broad variety of leading development tools including CloudBees Jenkins Enterprise, GitHub, JFrog, Jira, Confluence, Bitbucket, Hipchat, Trello, and many more.
We enable enterprise application teams to innovate, automate, and accelerate on the cloud. Our suite of products provides solutions for DevOps and cloud configuration challenges and our comprehensive monitoring means that all our customers can rest easy. Contact us today to learn more.
Read more from iTMethods:
- Why You Need to Care about DevOps
- 6 Tips for Scaling Your DevOps Transformation
- Aligning Developers with a DevOps Cloud Strategy
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Free your resources and execute with enterprise trusted solutions for your DevOps tools & tools management.
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Not all cloud deployments models are created equal, retain full control and align your enterprise business requirements.
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Partner with the global DevOps leader focused on delivering innovative solutions that delight our customers everyday!
Learn more or talk to an expert today!
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Partnering with top AI/ML ISVs and infrastructure providers, we offer comprehensive services and managed platforms to address your intricate AI solution requirements.
OFFERINGS:
Professional Services
Maximizing organizations’ data science and AI capabilities with specialized services and support.
Managed Services
Expert managed offerings for your ISV tools, models and leading cloud infrastructure (AWS, Azure, Nvidia).
iTMethods’ AI WorkBench
Production-ready managed platform for seamless deployment of top-tier AI/ML tools, models & infrastructure. View on AWS Marketplace
FEATURED PARTNERS:
Helping customers realize Python’s full potential for artificial intelligence (AI), machine learning (ML), & data science. >>Learn More
Zetaris AI’s data analytics platform enables businesses to access & analyze data from various sources in real-time without duplication. >>Learn More
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Optimize your software development and deployments
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Rapidly implement and maintain your IaC technologies
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Unlock the full potential of AWS, Azure, and Containers / Kubernetes
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Resources
iTMethods resources, best practices, industry trends and news for Enterprise DevOps and Cloud Transformation.
Blog
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Webinars & Videos
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Resources
iTMethods resources, best practices, industry trends and news for Enterprise DevOps and Cloud Transformation.
Blog
Stay up to date with the latest in Enterprise DevOps Tools & Tool Management.
Webinars & Videos
Watch industry leaders discuss how to get the most out of your DevOps investment.
eBooks & Whitepapers
Industry leading research and insight available to download.
Reports & Guides
Expert industry analysis and guidance at your finger tips.
Case Studies
Explore our library of case studies.
Partner with the global leader in DevOps and AI/ML Tools and Tools Management
Fast track your Software Development priorities with our ready to run solutions.
Looking for a customer obsessed partner? Let’s Talk!