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Hot Topics from the Gartner Data Center Conference

Linh Ho

Last month I attended the Gartner Data Center Conference in Las Vegas. This show has grown quite a bit over the last few years. I believe over 2500 attendees this year roamed around the Caesars Palace — some camouflaged with the National Finals Rodeo fans.

This year, the hot topic was not only cloud computing but seems there were a lot of discussions around DevOps and analytics. Other topics of interest included Application Performance Monitoring (APM), End-user Experience (EUE), Business Transaction Management (BTM), Big Data and many more around IT operations.

Take a peek at the few bits and bites I picked up, I particularly found the polling questions interesting to share.

Poll: What is the biggest reason ITOps group isn’t doing more innovation?

41% too busy with day to day operations

27% politics

11% cultural

9% feel they are very innovative

7% not a priority

Not surprising. When IT is too busy with day to day operations like keeping the lights on, and expensive resources are stuck on a conference bridge figuring who is accountable to fix the problem; of course there is no time and resources put into innovation. Only when IT is proactive and preventive to issues that innovation has a spot on the agenda.

Though, 9% feel very innovative – It’d be interesting to hear from this 9% to understand what they are working on! Innovation clearly brings new ideas that drive change and create value that can only enable better business outcomes.

Poll: What is your top priority for availability and performance tool investment for the coming budget year?

26% APM

21% ECA

14% SLA

7% Virtualization

7% Server Monitoring

5% Network Monitoring

2% BSM

2% Cloud

Indeed APM is hot again, though this is referring to ‘new APM’ which is above and beyond the traditional deep-dive tools. One of the analyst cautioned about using last millennium’s tools to solve today’s problems! Deep-dive is only a slice of five dimensions of APM according to Gartner.

APM inquiries according to the analysts seem to have increased by over 50% compared to last year. Within APM, end-user experience and business transaction profiling are touted the two hottest topics.

Event Correlation Analysis (ECA) is second to APM, beyond ECA but somewhat related, we see customers looking to apply analytics for both IT and business operations. Approaches such as multi-dimensional OLAP (online analytical processing), CEP (complex event processing) and log analysis are commonly seen. Log parsing and analysis comes up for those looking to parse log files to assist with trouble-shooting primarily.

Bringing intelligence through the likes of CEP helps IT elevate its awareness of business impact, prioritization and prevent abnormal behaviors in both IT and business operations. Multi-dimensional OLAP helps bring different perspectives easily and quickly for problem isolation, impact assessment, resolution, optimization and more.

For example one can view service levels by business transactions, by users, by applications or flip it around to get resource consumption by applications, users, and transactions—think of a rubik’s cube for IT management.
These all borrow business intelligence concepts into the world of IT management – which is not a bad thing when the ultimate goal is aligning IT and the business.

I am surprised to see only 2% cloud for the next coming year, perhaps the audience just weren’t sure what Gartner meant by ‘cloud’ as it could be different extremes of initiatives. Or simply, the audience still isn’t quite ready.

Lastly, I can’t say I am surprised to see 2% BSM (Business Service Management); this term has been nebulous for quite some time and since the last pure-play BSM vendor was picked up by Novell --- we’re not hearing much from that corner.

DevOps surfaced quite a bit, here’s a couple of interesting polls.

Poll: Is your organization leveraging DevOps?

62% have not heard of DevOps before

11% aware of DevOps but not planning to use it

9% experimenting – not in production

8% using for both critical and non-critical apps

7% considering using DevOps in next 12-14 months

3% using it for non critical apps

This was a surprise – 62% have not heard of DevOps? I suppose to defend it, bridging that gap between dev and ops; we’re just not there yet. The reality I’d say, it is more OpsDev – how to help IT operation guys bring factual data to the Dev guys to fix issues that are causing pain in production. IT operation needs to be proactive at crossing over that wall. This can only improve productivity, communication and eliminate the traditional siloed approach. There is still some work to do here to break the great wall.

Poll: What process is most in need of being addressed via Devops?

36% Release management

35% Change management

12% performance management

12% capacity management

No surprises here. Change and release management are key processes to address via DevOps – how often do changes cause performance problems? Do you understand the change impact on your end-user experience, critical business transactions, application performance? Effective change and release processes can only be achieved with solid collaboration between dev and ops to minimize application rollbacks, improve quality releases and reduce risks of impacting performance.

Kudos to the Gartner analysts for the informative sessions, one-on-ones, dinners and drinks – they’ve gone the extra mile for attendees and vendors! Usually Gartner will have a write up on the Data Center poll results in the following spring; buckle up! it will be interesting to see what they make out of all this!

Linh C. Ho is VP of Corporate Marketing at OpTier.

Related Links:

Linh Ho of OpTier Joins the Vendor Forum

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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 ...

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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 ...

Hot Topics from the Gartner Data Center Conference

Linh Ho

Last month I attended the Gartner Data Center Conference in Las Vegas. This show has grown quite a bit over the last few years. I believe over 2500 attendees this year roamed around the Caesars Palace — some camouflaged with the National Finals Rodeo fans.

This year, the hot topic was not only cloud computing but seems there were a lot of discussions around DevOps and analytics. Other topics of interest included Application Performance Monitoring (APM), End-user Experience (EUE), Business Transaction Management (BTM), Big Data and many more around IT operations.

Take a peek at the few bits and bites I picked up, I particularly found the polling questions interesting to share.

Poll: What is the biggest reason ITOps group isn’t doing more innovation?

41% too busy with day to day operations

27% politics

11% cultural

9% feel they are very innovative

7% not a priority

Not surprising. When IT is too busy with day to day operations like keeping the lights on, and expensive resources are stuck on a conference bridge figuring who is accountable to fix the problem; of course there is no time and resources put into innovation. Only when IT is proactive and preventive to issues that innovation has a spot on the agenda.

Though, 9% feel very innovative – It’d be interesting to hear from this 9% to understand what they are working on! Innovation clearly brings new ideas that drive change and create value that can only enable better business outcomes.

Poll: What is your top priority for availability and performance tool investment for the coming budget year?

26% APM

21% ECA

14% SLA

7% Virtualization

7% Server Monitoring

5% Network Monitoring

2% BSM

2% Cloud

Indeed APM is hot again, though this is referring to ‘new APM’ which is above and beyond the traditional deep-dive tools. One of the analyst cautioned about using last millennium’s tools to solve today’s problems! Deep-dive is only a slice of five dimensions of APM according to Gartner.

APM inquiries according to the analysts seem to have increased by over 50% compared to last year. Within APM, end-user experience and business transaction profiling are touted the two hottest topics.

Event Correlation Analysis (ECA) is second to APM, beyond ECA but somewhat related, we see customers looking to apply analytics for both IT and business operations. Approaches such as multi-dimensional OLAP (online analytical processing), CEP (complex event processing) and log analysis are commonly seen. Log parsing and analysis comes up for those looking to parse log files to assist with trouble-shooting primarily.

Bringing intelligence through the likes of CEP helps IT elevate its awareness of business impact, prioritization and prevent abnormal behaviors in both IT and business operations. Multi-dimensional OLAP helps bring different perspectives easily and quickly for problem isolation, impact assessment, resolution, optimization and more.

For example one can view service levels by business transactions, by users, by applications or flip it around to get resource consumption by applications, users, and transactions—think of a rubik’s cube for IT management.
These all borrow business intelligence concepts into the world of IT management – which is not a bad thing when the ultimate goal is aligning IT and the business.

I am surprised to see only 2% cloud for the next coming year, perhaps the audience just weren’t sure what Gartner meant by ‘cloud’ as it could be different extremes of initiatives. Or simply, the audience still isn’t quite ready.

Lastly, I can’t say I am surprised to see 2% BSM (Business Service Management); this term has been nebulous for quite some time and since the last pure-play BSM vendor was picked up by Novell --- we’re not hearing much from that corner.

DevOps surfaced quite a bit, here’s a couple of interesting polls.

Poll: Is your organization leveraging DevOps?

62% have not heard of DevOps before

11% aware of DevOps but not planning to use it

9% experimenting – not in production

8% using for both critical and non-critical apps

7% considering using DevOps in next 12-14 months

3% using it for non critical apps

This was a surprise – 62% have not heard of DevOps? I suppose to defend it, bridging that gap between dev and ops; we’re just not there yet. The reality I’d say, it is more OpsDev – how to help IT operation guys bring factual data to the Dev guys to fix issues that are causing pain in production. IT operation needs to be proactive at crossing over that wall. This can only improve productivity, communication and eliminate the traditional siloed approach. There is still some work to do here to break the great wall.

Poll: What process is most in need of being addressed via Devops?

36% Release management

35% Change management

12% performance management

12% capacity management

No surprises here. Change and release management are key processes to address via DevOps – how often do changes cause performance problems? Do you understand the change impact on your end-user experience, critical business transactions, application performance? Effective change and release processes can only be achieved with solid collaboration between dev and ops to minimize application rollbacks, improve quality releases and reduce risks of impacting performance.

Kudos to the Gartner analysts for the informative sessions, one-on-ones, dinners and drinks – they’ve gone the extra mile for attendees and vendors! Usually Gartner will have a write up on the Data Center poll results in the following spring; buckle up! it will be interesting to see what they make out of all this!

Linh C. Ho is VP of Corporate Marketing at OpTier.

Related Links:

Linh Ho of OpTier Joins the Vendor Forum

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 ...