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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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For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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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

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...