Skip to main content

IT Ops Pros Reconsidering IT Ops Tools

IT budgets have held up quite well despite the pandemic, and the majority of IT executives (63%) were actually accelerating or maintaining their digital transformation initiatives, according to a study by OpsRamp study of 230 IT operations executives in the US and UK. The same IT ops pros said they were focused on buying tools that enabled compelling customer and employee experiences.

There are three main takeaways :

■ IT ops pros are swimming in tools.

■ Artificial intelligence-based tools are a big deal.

■ The definition of a modern IT ops platform is changing.

Trend #1: Too Many Tools

Only 27% of respondents from the study are highly satisfied with their current monitoring approaches.

52% are moderately satisfied and 21% are somewhat dissatisfied or not at all satisfied.

Areas of improvement for existing tools include the ability to monitor hybrid, multi-cloud and cloud-native infrastructure, integrate data and automate incident response for efficient and timely operations, and support business goals with accurate and relevant insights.

Meanwhile, nearly all IT ops pros (95%) surveyed by OpsRamp said they’re using at least five tools every day and half are using more than 10. Apparently, though, that’s about to change, with 37% saying they expect to cut the number of tools they use this year by half.

Trend #2: AIOps is Here to Stay

AIOps has become a focal point for this "tool rationalization," as the technology appears to have sufficiently demonstrated its ability to act as a sort of connective tissue for centralized operations by delivering proactive insights across different IT monitoring, service management and process automation tools.

The results of OpsRamp’s 2021 study back this up, with 48% of respondents saying they have prioritized AIOps across their enterprise IT environments.

The 2021 study also found that 42% of IT ops pros have already deployed AIOps in their organisation, and 55% plan to roll out AIOps this year.

Trend #3: Requirements for a Modern IT Ops Solution

Given the strong recent media attention on hacks and data vulnerabilities, it’s not surprising that the study found that platform security, which is the ability to withstand sophisticated attacks, is the most critical attribute of a modern IT ops solution (61%).

The next two capabilities ranked important by IT ops pros were hybrid infrastructure management (53%) for controlling the chaos of distributed architectures, and SaaS and multi-tenant architecture (46%) that allow IT to manage hybrid infrastructure from the cloud, without introducing additional system overhead.

IT ops leaders also see huge value in deploying a digital operations management platform that offers capabilities for hybrid, multi-cloud and cloud-native monitoring, intelligent incident management and automated remediation. 56% of respondents to OpsRamp’s 2021 study expect to roll out a digital operations management platform this year.

George Bonser, VP of EMEA Sales for OpsRamp, said: "The pandemic accelerated many of the mid-flight digital transformation initiatives. Tools are a valuable part of the IT operations portfolio, but the future belongs to digital operations management platforms that can consolidate data across hybrid environments, apply machine learning to drive faster incident analysis, and use process automation to handle repetitive work."

Hot Topics

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

IT Ops Pros Reconsidering IT Ops Tools

IT budgets have held up quite well despite the pandemic, and the majority of IT executives (63%) were actually accelerating or maintaining their digital transformation initiatives, according to a study by OpsRamp study of 230 IT operations executives in the US and UK. The same IT ops pros said they were focused on buying tools that enabled compelling customer and employee experiences.

There are three main takeaways :

■ IT ops pros are swimming in tools.

■ Artificial intelligence-based tools are a big deal.

■ The definition of a modern IT ops platform is changing.

Trend #1: Too Many Tools

Only 27% of respondents from the study are highly satisfied with their current monitoring approaches.

52% are moderately satisfied and 21% are somewhat dissatisfied or not at all satisfied.

Areas of improvement for existing tools include the ability to monitor hybrid, multi-cloud and cloud-native infrastructure, integrate data and automate incident response for efficient and timely operations, and support business goals with accurate and relevant insights.

Meanwhile, nearly all IT ops pros (95%) surveyed by OpsRamp said they’re using at least five tools every day and half are using more than 10. Apparently, though, that’s about to change, with 37% saying they expect to cut the number of tools they use this year by half.

Trend #2: AIOps is Here to Stay

AIOps has become a focal point for this "tool rationalization," as the technology appears to have sufficiently demonstrated its ability to act as a sort of connective tissue for centralized operations by delivering proactive insights across different IT monitoring, service management and process automation tools.

The results of OpsRamp’s 2021 study back this up, with 48% of respondents saying they have prioritized AIOps across their enterprise IT environments.

The 2021 study also found that 42% of IT ops pros have already deployed AIOps in their organisation, and 55% plan to roll out AIOps this year.

Trend #3: Requirements for a Modern IT Ops Solution

Given the strong recent media attention on hacks and data vulnerabilities, it’s not surprising that the study found that platform security, which is the ability to withstand sophisticated attacks, is the most critical attribute of a modern IT ops solution (61%).

The next two capabilities ranked important by IT ops pros were hybrid infrastructure management (53%) for controlling the chaos of distributed architectures, and SaaS and multi-tenant architecture (46%) that allow IT to manage hybrid infrastructure from the cloud, without introducing additional system overhead.

IT ops leaders also see huge value in deploying a digital operations management platform that offers capabilities for hybrid, multi-cloud and cloud-native monitoring, intelligent incident management and automated remediation. 56% of respondents to OpsRamp’s 2021 study expect to roll out a digital operations management platform this year.

George Bonser, VP of EMEA Sales for OpsRamp, said: "The pandemic accelerated many of the mid-flight digital transformation initiatives. Tools are a valuable part of the IT operations portfolio, but the future belongs to digital operations management platforms that can consolidate data across hybrid environments, apply machine learning to drive faster incident analysis, and use process automation to handle repetitive work."

Hot Topics

The Latest

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...