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Built-in Monitoring Is Most Important AIOps Feature

Built-in monitoring/native instrumentation ranked as the most important feature of an AIOps solution, cited by nearly 55% of respondents in a new study from OpsRamp, The State of AIOps 2023.

The study concludes that AIOps is delivering real benefits for enterprises and MSPs, even as two-thirds of respondents have concerns about how accurate the data going into their AIOps systems is.

With the global economy facing headwinds on multiple fronts including inflation, the cost-of-living crisis, higher interest rates and war in Ukraine, both enterprises and MSPs are focused on improving IT efficiency and automation in 2023. MSPs cited improving operational efficiencies as their No. 1 challenge to achieving steady growth and profitability, while enterprises pointed to automating as many operations as possible as the biggest need or challenge they were trying to overcome in 2023.

While more than 60% of respondents were adopting AIOps to improve service and application availability and performance, the second and third top choices were for automation of operations (58%) and processes (54%).

Meanwhile, the greatest IT operations challenge for enterprises in 2023 was automating as many operations as possible, cited by 66% of respondents. Yet barely half of respondents (52%) cited automation of tedious tasks as their primary operational benefit of AIOps, trailing reduction in open incident tickets (65%) and reduction in MTTD and MTTR (56%). Improvements in automation are clearly top of mind for enterprises and MSPs in 2023.

Other key findings include:

■ Application to infrastructure dependency mapping is the top incident management challenge for enterprises and MSPs, cited by 64% of total respondents.

■ Intelligent alerting is the No. 1 use case for AIOps today for both enterprises (70%) and MSPs (66%).

■ The vast majority of AIOps implementations—more than 80%—take six months or less.

■ Data accuracy was respondents' biggest concern about AIOps, cited by 70% of MSPs and 62% of enterprises.

■ AIOps is creating jobs, not killing them, though engineers with the right skillsets for AIOps remain hard to find. Just 36% of respondents were concerned about AIOps deployment causing job loss while 68% said it takes more than six months to hire engineers with the right skillsets for AIOps

"The study shows that AIOps is real and is delivering tangible benefits for enterprises and MSPs," said Suresh Vobbilesetty, EVP, Engineering at OpsRamp. "But it also shows that organizations' AIOps initiatives remain a work in progress and have a ways to go before they can realize the full potential of the technology."

Methodology: The study was conducted in December by a third party research firm, and includes input from 265 respondents who work at the general manager, director or vice president level at enterprises and MSPs in North America, Europe or Asia Pacific. All respondents have budget decision-making responsibilities for IT monitoring tools, and work at firms with at least $25 million in annual revenue and more than 500 employees.

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Built-in Monitoring Is Most Important AIOps Feature

Built-in monitoring/native instrumentation ranked as the most important feature of an AIOps solution, cited by nearly 55% of respondents in a new study from OpsRamp, The State of AIOps 2023.

The study concludes that AIOps is delivering real benefits for enterprises and MSPs, even as two-thirds of respondents have concerns about how accurate the data going into their AIOps systems is.

With the global economy facing headwinds on multiple fronts including inflation, the cost-of-living crisis, higher interest rates and war in Ukraine, both enterprises and MSPs are focused on improving IT efficiency and automation in 2023. MSPs cited improving operational efficiencies as their No. 1 challenge to achieving steady growth and profitability, while enterprises pointed to automating as many operations as possible as the biggest need or challenge they were trying to overcome in 2023.

While more than 60% of respondents were adopting AIOps to improve service and application availability and performance, the second and third top choices were for automation of operations (58%) and processes (54%).

Meanwhile, the greatest IT operations challenge for enterprises in 2023 was automating as many operations as possible, cited by 66% of respondents. Yet barely half of respondents (52%) cited automation of tedious tasks as their primary operational benefit of AIOps, trailing reduction in open incident tickets (65%) and reduction in MTTD and MTTR (56%). Improvements in automation are clearly top of mind for enterprises and MSPs in 2023.

Other key findings include:

■ Application to infrastructure dependency mapping is the top incident management challenge for enterprises and MSPs, cited by 64% of total respondents.

■ Intelligent alerting is the No. 1 use case for AIOps today for both enterprises (70%) and MSPs (66%).

■ The vast majority of AIOps implementations—more than 80%—take six months or less.

■ Data accuracy was respondents' biggest concern about AIOps, cited by 70% of MSPs and 62% of enterprises.

■ AIOps is creating jobs, not killing them, though engineers with the right skillsets for AIOps remain hard to find. Just 36% of respondents were concerned about AIOps deployment causing job loss while 68% said it takes more than six months to hire engineers with the right skillsets for AIOps

"The study shows that AIOps is real and is delivering tangible benefits for enterprises and MSPs," said Suresh Vobbilesetty, EVP, Engineering at OpsRamp. "But it also shows that organizations' AIOps initiatives remain a work in progress and have a ways to go before they can realize the full potential of the technology."

Methodology: The study was conducted in December by a third party research firm, and includes input from 265 respondents who work at the general manager, director or vice president level at enterprises and MSPs in North America, Europe or Asia Pacific. All respondents have budget decision-making responsibilities for IT monitoring tools, and work at firms with at least $25 million in annual revenue and more than 500 employees.

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The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

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 ...