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3 Tool Trends in IT Ops

IT budgets have held up quite well despite the pandemic, and the majority of respondents (63%) were actually accelerating or maintaining their digital transformation initiatives, according to an OpsRamp study of 230 IT operations executives in the US and UK in October 2020.

The same IT ops pros said they were focused on buying tools that enabled compelling customer and employee experiences.

The current OpsRamp study, which was conducted in March 2021 and includes input from 132 IT operations directors or above in the UK, tells a similar story. Respondents to this year's survey are still moving forward with digital transformation, but many are re-evaluating the number and type of tools they're using.

There are three main takeaways from the 2021 survey:

Trend 1: Too Many Tools

Only 27% of respondents 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 this year 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 the 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 organization, 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 2021 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 expect to roll out a digital operations management platform this year.

"This study exposes new priorities for IT ops pros and validates many of our hypotheses on the future of IT operations," said George Bonser, VP of EMEA Sales for OpsRamp. "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."

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Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

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For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

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Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

3 Tool Trends in IT Ops

IT budgets have held up quite well despite the pandemic, and the majority of respondents (63%) were actually accelerating or maintaining their digital transformation initiatives, according to an OpsRamp study of 230 IT operations executives in the US and UK in October 2020.

The same IT ops pros said they were focused on buying tools that enabled compelling customer and employee experiences.

The current OpsRamp study, which was conducted in March 2021 and includes input from 132 IT operations directors or above in the UK, tells a similar story. Respondents to this year's survey are still moving forward with digital transformation, but many are re-evaluating the number and type of tools they're using.

There are three main takeaways from the 2021 survey:

Trend 1: Too Many Tools

Only 27% of respondents 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 this year 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 the 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 organization, 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 2021 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 expect to roll out a digital operations management platform this year.

"This study exposes new priorities for IT ops pros and validates many of our hypotheses on the future of IT operations," said George Bonser, VP of EMEA Sales for OpsRamp. "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."

The Latest

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 ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...