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Survey Highlights Divide Between Development and Operations

Pete Goldin
APMdigest

IT is struggling to keep up with the resulting pace of service demand, according to a new survey by Serena of 200 IT professionals that focused on the current state of IT Service Management (ITSM), with a particular focus on what ITIL calls Service Transition.

In addition, the survey shows the majority of those polled (92 percent) agreed business groups do not perceive IT as a true partner and in some cases report that IT actually impedes their success.

Development and Operations blame each other, the survey indicates. Three quarters cited operations as a roadblock to agile development, and 72 percent cite development as not supporting the goals of operations.

“There is massive interest in DevOps within enterprises today, as there should be. What our survey revealed, however, is the distance that IT organizations need to evolve to realize the promise of DevOps,” said Amita Abraham, Group Product Marketing Manager at Serena Software and the author of the survey report. “This data was telling in that we were able to learn about today’s key ITSM issues, in particular, the need to improve Service Transition, the ITIL set of processes that cover the juncture of Development and Operations.”

Other key findings include:

· Inconsistent and manual ITSM practices are too slow for online, agile business. 70 percent reported poor release management processes.

· Disconnected processes limit Development and Operations’ success. 72 percent revealed that operational change and release management, which are central to the Service Transition prescribed by ITILv3, were the most disconnected.

· Rudimentary communication practices lead to limited visibility into planned changes. 60 percent cited they had “little to no” visibility into planned changes. Survey data showed antiquated communication practices such as email, spreadsheets, and word of mouth are still relied upon for sharing critical and time-sensitive information about planned development of operational changes.

· Poor reporting leads to inaccurate status updates to the business. Only six percent reported having shared release calendars across development and operations.

In addition to the Dev and Ops divide, the survey also highlighted the gap between IT and Business:

· Only 9 percent responded that the business views IT as completely aligned with its goals and as a true partner.

· 56 percent indicated that their organizations were yet to define and automate request management. The lack of a single place for business users to submit requests and automatically get status updates results in further discontent with IT.

The Serena survey was conducted at itSMF’s FUSION 12 Conference last month. Respondents were polled from a variety of industries, including financial services, government, healthcare, online services, manufacturing and more. The sampling of participants included general attendees and speakers.

Pete Goldin is Editor and Publisher of APMdigest

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Survey Highlights Divide Between Development and Operations

Pete Goldin
APMdigest

IT is struggling to keep up with the resulting pace of service demand, according to a new survey by Serena of 200 IT professionals that focused on the current state of IT Service Management (ITSM), with a particular focus on what ITIL calls Service Transition.

In addition, the survey shows the majority of those polled (92 percent) agreed business groups do not perceive IT as a true partner and in some cases report that IT actually impedes their success.

Development and Operations blame each other, the survey indicates. Three quarters cited operations as a roadblock to agile development, and 72 percent cite development as not supporting the goals of operations.

“There is massive interest in DevOps within enterprises today, as there should be. What our survey revealed, however, is the distance that IT organizations need to evolve to realize the promise of DevOps,” said Amita Abraham, Group Product Marketing Manager at Serena Software and the author of the survey report. “This data was telling in that we were able to learn about today’s key ITSM issues, in particular, the need to improve Service Transition, the ITIL set of processes that cover the juncture of Development and Operations.”

Other key findings include:

· Inconsistent and manual ITSM practices are too slow for online, agile business. 70 percent reported poor release management processes.

· Disconnected processes limit Development and Operations’ success. 72 percent revealed that operational change and release management, which are central to the Service Transition prescribed by ITILv3, were the most disconnected.

· Rudimentary communication practices lead to limited visibility into planned changes. 60 percent cited they had “little to no” visibility into planned changes. Survey data showed antiquated communication practices such as email, spreadsheets, and word of mouth are still relied upon for sharing critical and time-sensitive information about planned development of operational changes.

· Poor reporting leads to inaccurate status updates to the business. Only six percent reported having shared release calendars across development and operations.

In addition to the Dev and Ops divide, the survey also highlighted the gap between IT and Business:

· Only 9 percent responded that the business views IT as completely aligned with its goals and as a true partner.

· 56 percent indicated that their organizations were yet to define and automate request management. The lack of a single place for business users to submit requests and automatically get status updates results in further discontent with IT.

The Serena survey was conducted at itSMF’s FUSION 12 Conference last month. Respondents were polled from a variety of industries, including financial services, government, healthcare, online services, manufacturing and more. The sampling of participants included general attendees and speakers.

Pete Goldin is Editor and Publisher of APMdigest

Hot Topics

The Latest

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...