Balancing top-down control and oversight with bottom-up innovation and autonomy
The driving force behind DevOps adoption in the enterprise is the idea that it will enable faster and more frequent delivery of better quality software. If all goes well, DevOps should result in higher customer satisfaction and lower costs, but the journey to get there can be challenging. Unfortunately, only a minority of organizations that attempt to implement DevOps actually fully deploy it.
There are many barriers to overcome before organizations can realize the benefits of DevOps. One of the main challenges is retaining sufficient top-down control and oversight without hampering bottom-up innovation.
From Start-Up to Enterprise
The root of this problem lies in the fact that many ideas in DevOps were developed in environments with small teams and flexible organizational structures. In such setups, where everyone can see what everyone else is doing, visibility and control seldom are an issue. Adapting this approach to an organization with hundreds of geographically distributed teams, in industries with a lot of regulatory baggage and diverse legacy systems, is an entirely different prospect.
How do enterprise organizations find a structure that enables individual teams to unleash their innovation and maintain a feeling of responsibility without losing oversight and control? If DevOps teams are not empowered to make their own decisions and free to move swiftly, then they’ll struggle to realize the benefits that drive adoption in the first place.
Walking the Tightrope
Individual DevOps teams should be free to make local decisions, but these need to be in alignment with business goals at the management level.
You don’t want to hamper the speed and reliability that automation brings, or the innovation that can come from autonomous decision-making, so you need to find a way to balance tools, processes and team structure to maintain control and visibility. Avoid flying under the radar; instead, aim for maximum transparency in what your DevOps teams are doing. Set goals and measure, because visibility for management will prove that the new approach is working, build confidence and secure more top-down investment.
Connecting the Dots
A large enterprise will have a number of DevOps teams, but they shouldn’t be completely isolated. Requirements such as audit trails, security access logs and compliance controls must be met by all of these teams. There’s little sense in making each individual team responsible for solving the same problems over and over again. Offer a set of standards and tools, but be careful not to shut down choice.
That same logic applies to competence development, so offer your DevOps teams access to best practices and enable them to learn from each other. The size and structure of an enterprise organization does present unique challenges to DevOps adoption, but there’s also opportunity here to benefit from the scale by sharing and collaborating. Sharing and standardizing the right things will eradicate redundancies and free your DevOps teams to focus on improving their products and innovating, so the business derives maximum value from their efforts.
Finding What Works
The right answer will be different for each organization, but there are some things everyone should keep in mind when building or shopping for tooling. It needs to support a large, diverse environment. Look for support for the platforms you use and consider extensibility, so you can add the functionality you need.
A key factor here for orchestration tools—especially those that define and execute your delivery pipelines—is that they must be accessible for management. You shouldn’t need to be a technical expert to dip in and get an overview, or compile a report that provides the insight you need. Ensure you collect diverse metrics and present information in a digestible format so you can find bottlenecks and identify successes and failures and really deliver the best experience possible for the end user.
About the Author / Andrew Phillips
Andrew Phillips is VP of DevOps Strategy for XebiaLabs, provider of software for continuous delivery and DevOps. He is a cloud, service delivery and automation expert and has been part of the shift to more automated application delivery platforms. He contributes to a number of open source projects including Apache jclouds, the leading cloud library, and is a co-organizer of the DynamicInfraDays container community events.
