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Gartner Q&A: Cameron Haight Talks About DevOps - Part 2

Pete Goldin
APMdigest

In Part 2 of this exclusive interview, Cameron Haight, Gartner Research VP, IT Operations, discusses the focus of his research for the last few years: DevOps.

Start with Part 1 of the interview

APM: What are the main advantages of DevOps that a company can gain?

CH: DevOps is ultimately about improving the business. It is not just about making IT in alignment with the business, but in the context of DevOps, IT is the business. IT cannot be looked at as a cost center. Not just to drive down costs. IT needs to look at how they can provide more value added capabilities that the business needs.

Mobile channels and digital channels are becoming quite critical. The expectations are very different when you interact with a smartphone device than if you are sitting at your desktop. So to enable new capabilities; to do A/B testing; to be more like a lean startup; to learn about customer desires, wants and needs – DevOps is an approach to help enable that.

APM: When DevOps is embraced by organization, if they do it right, will they have less problems on the production end?

CH: I would not say less problems, but the problems will change. You're always going to have problems. In the DevOps world you are always experimenting, you are going to find things that do not work. You are going to continuously iterate to improve. We try this, that didn't work, so we try something else.

Automation, hopefully, tries to remove some of the manual problems that crop up. One of the benefits of automation is consistency. We do this thing over and over again automatically, and we can now know what the results are because the human error part is largely removed from the equation. But we have to be careful that we don't blindly adopt it, because automation has gone awry in other domains. We have to be careful how we design these systems to ensure that we’re not just doing the wrong thing even faster.

But in a larger context, we have to be careful that we don't fall into the hammer and nail syndrome where we assume that the solution to every problem is a tool. The Amazons and Googles and Facebooks of the world are systems thinkers. So they try to look at: how can we improve this? And sometimes the answer is to re-architect it and therefore reduce the complexity. And maybe build manageability “in” at the beginning. And perhaps that means we need less of these tools like APM on the back end of that process because we built it right the first time. That may be an outcome.

At the end of the day DevOps is about proving the business outcomes by changing your culture and how you look at IT and how you perform IT. We are always going to have problems, but the question is how do we address (and learn from) them? How do we solve them? The goal is to recognize those problems and fix them as quickly as possible and in the process recognize that the problem is the problem and not get into a “blame game” mode of behavior. Agile and DevOps help us iterate towards getting it right quicker.

APM: What is the best way to help development teams to ensure top application performance before an app goes into production?

CH: Be a part of the discussion early in the lifecycle. One of my ambitions in life has been to get rid of the term “nonfunctional requirements”. Nonfunctional requirements are those which are not business logic related such as availability, maintainability, usability, things like that. Oftentimes, in the classic development organizations, those nonfunctional requirements have low priorities and are seemingly optional because the requirement is to get the code out the door, not to build manageability. So Operations needs to be part of those planning sessions where they discuss the backlog and what needs to be developed in the next interval. Operational concerns need to be put in the backlog as user stories, or perhaps operational stories, demanding the same level of attention of those development teams as the business-related needs.

In addition, I see development as increasingly owning deploy, so guess who gets the problem calls when it doesn't work. It won't be the Operations team, it will be the Development team. So it is in their own best interest to think about “nonfunctional requirements”.

APM: How is that accomplished, by having more conversations?

CH: At the end of the day, DevOps is about changing the culture. Start building a culture of trust and openness and collaboration. And so, formally it is in those sessions. But it has to take place all the time. I see some organizations put people together physically. Not just having the Ops side of the floor and the Dev side of the floor, but actually mixing desks, to build that relationship. It is about knowing what the other person has to go through.

Read Part 3 of the interview, covering Application Performance Management (APM).

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Gartner Q&A: Cameron Haight Talks About DevOps - Part 2

Pete Goldin
APMdigest

In Part 2 of this exclusive interview, Cameron Haight, Gartner Research VP, IT Operations, discusses the focus of his research for the last few years: DevOps.

Start with Part 1 of the interview

APM: What are the main advantages of DevOps that a company can gain?

CH: DevOps is ultimately about improving the business. It is not just about making IT in alignment with the business, but in the context of DevOps, IT is the business. IT cannot be looked at as a cost center. Not just to drive down costs. IT needs to look at how they can provide more value added capabilities that the business needs.

Mobile channels and digital channels are becoming quite critical. The expectations are very different when you interact with a smartphone device than if you are sitting at your desktop. So to enable new capabilities; to do A/B testing; to be more like a lean startup; to learn about customer desires, wants and needs – DevOps is an approach to help enable that.

APM: When DevOps is embraced by organization, if they do it right, will they have less problems on the production end?

CH: I would not say less problems, but the problems will change. You're always going to have problems. In the DevOps world you are always experimenting, you are going to find things that do not work. You are going to continuously iterate to improve. We try this, that didn't work, so we try something else.

Automation, hopefully, tries to remove some of the manual problems that crop up. One of the benefits of automation is consistency. We do this thing over and over again automatically, and we can now know what the results are because the human error part is largely removed from the equation. But we have to be careful that we don't blindly adopt it, because automation has gone awry in other domains. We have to be careful how we design these systems to ensure that we’re not just doing the wrong thing even faster.

But in a larger context, we have to be careful that we don't fall into the hammer and nail syndrome where we assume that the solution to every problem is a tool. The Amazons and Googles and Facebooks of the world are systems thinkers. So they try to look at: how can we improve this? And sometimes the answer is to re-architect it and therefore reduce the complexity. And maybe build manageability “in” at the beginning. And perhaps that means we need less of these tools like APM on the back end of that process because we built it right the first time. That may be an outcome.

At the end of the day DevOps is about proving the business outcomes by changing your culture and how you look at IT and how you perform IT. We are always going to have problems, but the question is how do we address (and learn from) them? How do we solve them? The goal is to recognize those problems and fix them as quickly as possible and in the process recognize that the problem is the problem and not get into a “blame game” mode of behavior. Agile and DevOps help us iterate towards getting it right quicker.

APM: What is the best way to help development teams to ensure top application performance before an app goes into production?

CH: Be a part of the discussion early in the lifecycle. One of my ambitions in life has been to get rid of the term “nonfunctional requirements”. Nonfunctional requirements are those which are not business logic related such as availability, maintainability, usability, things like that. Oftentimes, in the classic development organizations, those nonfunctional requirements have low priorities and are seemingly optional because the requirement is to get the code out the door, not to build manageability. So Operations needs to be part of those planning sessions where they discuss the backlog and what needs to be developed in the next interval. Operational concerns need to be put in the backlog as user stories, or perhaps operational stories, demanding the same level of attention of those development teams as the business-related needs.

In addition, I see development as increasingly owning deploy, so guess who gets the problem calls when it doesn't work. It won't be the Operations team, it will be the Development team. So it is in their own best interest to think about “nonfunctional requirements”.

APM: How is that accomplished, by having more conversations?

CH: At the end of the day, DevOps is about changing the culture. Start building a culture of trust and openness and collaboration. And so, formally it is in those sessions. But it has to take place all the time. I see some organizations put people together physically. Not just having the Ops side of the floor and the Dev side of the floor, but actually mixing desks, to build that relationship. It is about knowing what the other person has to go through.

Read Part 3 of the interview, covering Application Performance Management (APM).

Hot Topic
The Latest
The Latest 10

The Latest

While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...

Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...