DevOps Intelligence Changes the Game

| January 26, 2017 | 2 Comments

One of my favorite parts of the novel The Phoenix Project is when Bill Palmer, DevOps hero and VP of IT Operations for the fictional company “Parts Unlimited” has a light bulb moment about the central importance of IT to the business.

DevOps Intelligence is the best way to improve software delivery

The moment comes as the company’s CFO lays out for Bill how he strives to align the goals of his department with the goals of the business. It’s here Bill starts to realize he must take a similar approach with IT. He ultimately turns to data about his delivery process to improve IT’s effectiveness and save his team from outsourcing—and a DevOps team is born.

Ok, so real-world situations might not be as dire as the fictional drama at Parts Unlimited. Still, many IT teams that are transforming to DevOps have yet to take the next step—using “DevOps Intelligence” to make data-driven decisions that help them improve software delivery.

What is DevOps Intelligence?

DevOps Intelligence  is all about providing the intelligence and insight companies need to deliver software more efficiently, with less risk and with better results. Making it part of your process is becoming crucial as both the demand for better software faster and the complexity of application development keep increasing. As incentive for getting started, below are seven benefits of making DevOps intelligence a top priority in 2017 and beyond.

1. Faster Release Cycles

End-to-end intelligence about your delivery pipeline lets you optimize your processes and accelerate release cycles. With the real-time, actionable information that DevOps intelligence provides, you can identify waste, such as bottlenecks in the pipeline. You can quickly find out how systems are performing with new changes, monitor the success rate of deployments, get insight into the cycle times for each team, and see which processes are working well and which are negatively impacting time to delivery.

2. Higher Quality Software

DevOps intelligence enables feedback loops, which are the foundation of iterative development. Feedback loops allow for creativity and are extremely valuable for doing things like trying out new features or changes to an interface to make sure you’re building more of what customers want. Feedback loops can become an integral part of the software development and delivery process because failures are fast, cheap, and small.

3. Increased Business Value of Software

DevOps intelligence allows you to quickly get actionable information about things like which features customers are using, which processes they’re abandoning, or whether they’re changing their behavior. DevOps intelligence can also be mined after a release to support impact analysis so you can find out whether what you’re delivering is actually of value to your customers and make smarter decisions about future offerings.


WatchDevOps by the Numbers: How to Approach the Measurement and Metrics of Your Continuous Delivery Transformation.

“DevOps by the Numbers: How to Approach the Measurement and Metrics of Your Continuous Delivery Transformation.”

Learn how you can better measure the processes and output of your DevOps and Continuous Delivery transformation.


4. Greater Transparency

Insight into the entire pipeline provides end-to-end transparency. Clear, real-time visibility into the process makes it easier for you to understand why you are (or are not) your hitting goals, justify requests for additional time and resources, and make the case that readiness rather than calendar dates should drive releases. Transparency also means that non-IT stakeholders can easily track progress at any given point in the process and feel empowered to make business decisions based on real-time data without having to go through IT.

5. Addition of Proactive and Predictive Management to the Delivery Process

DevOps intelligence gives you access to both real-time and historical information about your applications, people, environments, and more. Real-time, actionable insight delivers advantages such as early warning of what might fail so you can prevent it rather than wasting time firefighting. Historical data lets you analyze trends and predict behavior based on past results.

6. Better Support of Compliance Requirements

Data collected about your processes shows not just how those processes can be optimized, but what happened when, in an auditable fashion. Were processes followed? Who did what and when? What failed? What steps were taken, by whom, when, and were they correct? DevOps intelligence helps you stay on top of your compliance requirements and fix problems that might threaten your ability to meet them.

7. Stronger DevOps Culture

Intelligence about your delivery process helps strengthen your DevOps culture by empowering people, both inside and outside of IT, to affect change and be part of efforts to improve processes and products. DevOps intelligence provides insight that shines a light on their accomplishments so they can be celebrated. The ability to share data with people across the business reinforces the fact that they have an important role in making impactful decisions that help the company.

As companies improve their DevOps maturity and implement release orchestration, they’re building the infrastructure they need to automatically capture and analyze DevOps data and turn it into actionable information. Armed with this intelligence, IT will be well-positioned to fully support the goals of the business.


  • Bronwyn Davies

    I found this article very interesting. Point 3: “Increased Business Value of Software”, is very relevant in my opinion. From my experience at a large investment bank, my delivery team was so far removed from the business value that most of the work we did had very little tangible benefit that we as a delivery team could talk about. If business value could be communicated in a meaningful way to all contributing teams, then I think that would really improve morale and motivation amongst team members, as well as informing better decisions and prioritisation of work.

    • We couldn’t agree more! Showing business value to teams across the entire pipeline is the best way to increase buy-in and transform digital landscapes. Thanks for the comment : )