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App-Huggers: Thanks to Hybrid IT, Proactivity is Actually Getting Harder

How are you dealing with the reactive, crisis-driven realities of “Hybrid IT”?
Kevin McCartney

Does anyone really live in the beautifully homogenous, net and glossy modern cloud-based world depicted by analysts and marketers? You know — that wonderful “seamless, cloud-based” enterprise that promises to alleviate the myriad operational challenges of “old IT”? The answer, based on the CIOs I meet with, is absolutely “no.”

In fact, the “hybrid” IT environment of legacy plus cloud plus custom is a pretty chaotic mash-up that is tough to manage, to say the least. One of the most difficult aspects, according to anecdotal evidence uncovered in our discussions with senior IT executives, is proactive visibility and control at the application level.

Despite investments in tools and processes that are supposed to enable proactive and preventative support, senior IT executives say their day-to-day mode still tends to be crisis-driven and reactive. Additional layers of anecdotal or incidental feedback as well as “optical” or subjective input contribute to the reactivity.

Here are some actual soundbites from CIOs and other senior IT executives we’ve interviewed recently:

“It’s more complicated now; there are more layers. First it was just desktop, then server, and then shared resources, now all these layers. The customer is saying ‘what’s going on?’ No one knew what was going on. As a customer it’s very scary.”

“The trend is that everyone is marching toward a virtual environment when pieces of an app may run on public cloud, data center and private cloud. They all need to be tied together and management will be a nightmare without the right tool.”

“Applications were failing and nobody knew. When they did know, 20 people sat in a room passing the buck pointing fingers. Just everyone looking at their own bit and saying ‘it looks OK to me.’”

“The project leader is screaming, ‘we need this back up.’ Lots of frustration.”

“Even when the immediate issue gets resolved, we fear repeat because we didn’t know what happened. So the underlying issues weren’t fixed. We sometimes live in perpetual fear that it might happen again tomorrow.”

“We send and receive lots of email and go to lots of meetings. You’d think by having quarterly reviews with business owners you’d know the hot buttons -- but you’d be wrong. It’s the crisis du jour and how that impacts the technology plans.”

“In our business there are still too many ambulance drivers and not enough people investing in a plan.”

“The part we still struggle with is anecdotal. How do we capture this information and make it actionable? We have 5,000 transactions a month and 1 or 2 each month are negative. Unfortunately those are what you hear about in staff meetings.”

We are seeing the need for a new generation of application management tools that go far beyond the piece parts of the application — servers, network, databases and operating systems — to provide visibility and control at the application-level. As a result, IT departments see the application as a single entity — no matter what the application and whether it resides on your data center, your SaaS provider’s, in the cloud — or all three.

Since these new tools are designed for the real-world “Hybrid IT” environments, they will reduce the amount of reactivity that IT departments experience today.

Question: How are you dealing with the reactive, crisis-driven realities of “Hybrid IT”? What strategies are you using to create a “path to proactivity”?

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App-Huggers: Thanks to Hybrid IT, Proactivity is Actually Getting Harder

How are you dealing with the reactive, crisis-driven realities of “Hybrid IT”?
Kevin McCartney

Does anyone really live in the beautifully homogenous, net and glossy modern cloud-based world depicted by analysts and marketers? You know — that wonderful “seamless, cloud-based” enterprise that promises to alleviate the myriad operational challenges of “old IT”? The answer, based on the CIOs I meet with, is absolutely “no.”

In fact, the “hybrid” IT environment of legacy plus cloud plus custom is a pretty chaotic mash-up that is tough to manage, to say the least. One of the most difficult aspects, according to anecdotal evidence uncovered in our discussions with senior IT executives, is proactive visibility and control at the application level.

Despite investments in tools and processes that are supposed to enable proactive and preventative support, senior IT executives say their day-to-day mode still tends to be crisis-driven and reactive. Additional layers of anecdotal or incidental feedback as well as “optical” or subjective input contribute to the reactivity.

Here are some actual soundbites from CIOs and other senior IT executives we’ve interviewed recently:

“It’s more complicated now; there are more layers. First it was just desktop, then server, and then shared resources, now all these layers. The customer is saying ‘what’s going on?’ No one knew what was going on. As a customer it’s very scary.”

“The trend is that everyone is marching toward a virtual environment when pieces of an app may run on public cloud, data center and private cloud. They all need to be tied together and management will be a nightmare without the right tool.”

“Applications were failing and nobody knew. When they did know, 20 people sat in a room passing the buck pointing fingers. Just everyone looking at their own bit and saying ‘it looks OK to me.’”

“The project leader is screaming, ‘we need this back up.’ Lots of frustration.”

“Even when the immediate issue gets resolved, we fear repeat because we didn’t know what happened. So the underlying issues weren’t fixed. We sometimes live in perpetual fear that it might happen again tomorrow.”

“We send and receive lots of email and go to lots of meetings. You’d think by having quarterly reviews with business owners you’d know the hot buttons -- but you’d be wrong. It’s the crisis du jour and how that impacts the technology plans.”

“In our business there are still too many ambulance drivers and not enough people investing in a plan.”

“The part we still struggle with is anecdotal. How do we capture this information and make it actionable? We have 5,000 transactions a month and 1 or 2 each month are negative. Unfortunately those are what you hear about in staff meetings.”

We are seeing the need for a new generation of application management tools that go far beyond the piece parts of the application — servers, network, databases and operating systems — to provide visibility and control at the application-level. As a result, IT departments see the application as a single entity — no matter what the application and whether it resides on your data center, your SaaS provider’s, in the cloud — or all three.

Since these new tools are designed for the real-world “Hybrid IT” environments, they will reduce the amount of reactivity that IT departments experience today.

Question: How are you dealing with the reactive, crisis-driven realities of “Hybrid IT”? What strategies are you using to create a “path to proactivity”?

Hot Topics

The Latest

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

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.