This post is from the XebiaLabs blog and has not been updated since the original publish date.
8 Mistakes You Can Avoid Using DevOps Intelligence
You took the plunge into DevOps, starting with automating part of your software delivery process. The results have been great—less manual work, more efficiency. The improvements were so strong that, a few months later, you started scaling your DevOps operation to integrate tools, processes and teams across the organization. But things could still be better. Delivery could be faster. You’re still wasting too much time fixing things in production. And, you missed a deadline—understandable given that, with so much going on, it can be hard to see the forest for the trees.But these problems are not inevitable and may simply be signs that it’s time to take the next step toward full DevOps maturity…analyzing your end-to-end delivery pipeline and using the intelligence gathered to make your process even better. Imagine the impact of visualizing, analyzing, and integrating detailed information in areas like these… across all the tools in your release pipeline:While you might be able to search for each individual piece of information in the list above, DevOps Intelligence synthesizes these kinds of metrics into actionable insight, for example: business goals as a function of reduced time to delivery; failed releases decreasing as a function of deployment frequency; change volume as a predictor of bad outcomes; or success rate as a correlation of adopting certain tools and technologies. Let’s look at how DevOps Intelligence can help you avoid a few common problems with your software delivery lifecycle and significantly improve operations across the enterprise.
1. Missed DeadlinesMissed deadlines happen occasionally, but they don’t have to be the norm. DevOps Intelligence lets you uncover the components of your pipeline that slow down releases and put them at risk—things like tasks that take too long or handoffs that never happened. For those dealing with the complexities of managing dozens of simultaneous releases, DevOps Intelligence helps you quickly spot when a release is in trouble so you can fix it and stay on schedule. And, when the release is done and out the door, DevOps Intelligence lets you figure out where you need to improve so future releases are even faster.
DevOps Intelligence spans time to provide deep actionable insight into your software delivery process.
2. Wasted Money and ResourcesYou put a lot of effort into planning projects and finding the right people for your team. But too often, your resources are misdirected because you’re focused on the wrong things. Know which tasks would most benefit from automation. Get cross-project views across tools and releases so you can find and fix the biggest gaps. Know who did what and when so you can have the most effective release retrospectives. The real-time visibility and analytics capabilities that DevOps Intelligence offers show you exactly what happened and where waste occurs in your processes. With this insight, you can focus your efforts on the right areas and assign your staff in a way that makes the best use of their talent—and your budget.
3. Chaotic Delivery Pipeline and Tired Teams Working WeekendsIf you don’t have visibility into when and where problematic activity is happening in your delivery pipeline you might be inviting trouble. For example, can you quickly identify when your development team is overloaded? When delays are occurring? When tasks are failing…as early in the process as possible? Avoid fire-fighting and the working weekends that go with it. A good DevOps Intelligence tool will make issues clearly visible and allow you to adjust your planning or process to prevent your team from being overwhelmed by changes, smoothing the flow of work and preventing last-minute chaos.