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Top Observability Concerns in 2022

Faced with a growing number of challenges as the pandemic continues to disrupt the normal course of business, while also accelerating digital transformation, managed service providers (MSPs) are under pressure from global enterprise customers to deliver despite outages, cyberattacks, employee attrition, and lack of resources, according to The Next-Gen Managed Service Provider, a report from LogicMonitor.


Many enterprises (55 percent) are spending more money with their MSPs today compared to previous years as they migrate to the cloud (36 percent), undergo digital transformation (35 percent), and focus on managing cybersecurity threats (34 percent).

By adopting full-stack observability platforms that feature widespread automation and AIOps capabilities, companies can boost productivity

"Many businesses continue to face considerable challenges due to the ongoing pandemic. MSPs are often the tip of the spear in dealing with IT and industry disruptions," said Michael Tarbet, VP, Global Head of MSPs at LogicMonitor. "As our new research shows, MSPs, alongside global enterprises and other technology companies, are struggling to ensure uptime and operate efficiently while being short staffed. By adopting full-stack observability platforms that feature widespread automation and AIOps capabilities, companies can boost productivity while bringing valuable technical and business insights to the table to help teams avoid disruptive business outages, collaborate more and innovate faster."

Overcoming Workforce Challenges and IT Outages

With forces like The Great Resignation causing labor shortages across every industry, and rising ransomware attacks, MSPs are challenged to provide support to enterprise customers while also maintaining their own stacks.

MSPs continue to experience high numbers of outages themselves while simultaneously trying to help customers modernize, move to the cloud, support remote workforces and decrease IT downtime.

■ 88 percent of MSPs have experienced a brownout or outage in the past year, averaging one per month.

■ More than half (55 percent) of MSPs have experienced significant employee turnover in the last 12 months.

■ Once an engineer resigns, their job is empty for an average of 5 months from the job posting to a new hire’s first day of work.

■ Global MSP leaders estimate engineers spend 39 percent of their time on routine and manual tasks.

■ MSPs are increasingly investing in retaining their top talent, especially through offering flexible work hours (45%), increasing base salaries (41%) and offering up remote or hybrid work models (40%).

■ Businesses are investing more in IT training (52 percent), cloud (42 percent), network (37 percent), and security compliance (36 percent).

■ Top enterprise IT needs for MSPs include 24/7 IT monitoring support (29 percent), support for remote work (24 percent), and decreased IT downtime (24 percent).

■ The majority of global MSPs expect most of their end customers to be fully in the cloud within the next five years.

Based on LogicMonitor’s research results, MSPs have identified a focus on automation, AIOps, and other modern technologies as imperative to limit risk and future-proof their businesses.

Making the Case for Automation

Growing MSPs that want to lead the market are investing in solutions that will empower engineers and free them from rote tasks that impede scalability. Many are turning to cloud initiatives, AIOps, and automation to address both immediate and long-term concerns:

■ 95 percent of MSP leaders believe automating their processes is necessary in order to gain the time to focus on innovation and strategic goals.

■ MSP leaders estimate an average of 39 percent of their manual processes have been automated - yet another 41 percent could still be automated.

■ The top benefits of automating tasks, according to IT leaders, include improved time efficiency (42 percent), reduced errors (34 percent), and increased profits (33 percent).

Methodology: The study surveyed 600 MSP leaders in 9 global markets across North America, EMEA, and APAC to understand the state of MSPs in 2022 and beyond.

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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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...

Top Observability Concerns in 2022

Faced with a growing number of challenges as the pandemic continues to disrupt the normal course of business, while also accelerating digital transformation, managed service providers (MSPs) are under pressure from global enterprise customers to deliver despite outages, cyberattacks, employee attrition, and lack of resources, according to The Next-Gen Managed Service Provider, a report from LogicMonitor.


Many enterprises (55 percent) are spending more money with their MSPs today compared to previous years as they migrate to the cloud (36 percent), undergo digital transformation (35 percent), and focus on managing cybersecurity threats (34 percent).

By adopting full-stack observability platforms that feature widespread automation and AIOps capabilities, companies can boost productivity

"Many businesses continue to face considerable challenges due to the ongoing pandemic. MSPs are often the tip of the spear in dealing with IT and industry disruptions," said Michael Tarbet, VP, Global Head of MSPs at LogicMonitor. "As our new research shows, MSPs, alongside global enterprises and other technology companies, are struggling to ensure uptime and operate efficiently while being short staffed. By adopting full-stack observability platforms that feature widespread automation and AIOps capabilities, companies can boost productivity while bringing valuable technical and business insights to the table to help teams avoid disruptive business outages, collaborate more and innovate faster."

Overcoming Workforce Challenges and IT Outages

With forces like The Great Resignation causing labor shortages across every industry, and rising ransomware attacks, MSPs are challenged to provide support to enterprise customers while also maintaining their own stacks.

MSPs continue to experience high numbers of outages themselves while simultaneously trying to help customers modernize, move to the cloud, support remote workforces and decrease IT downtime.

■ 88 percent of MSPs have experienced a brownout or outage in the past year, averaging one per month.

■ More than half (55 percent) of MSPs have experienced significant employee turnover in the last 12 months.

■ Once an engineer resigns, their job is empty for an average of 5 months from the job posting to a new hire’s first day of work.

■ Global MSP leaders estimate engineers spend 39 percent of their time on routine and manual tasks.

■ MSPs are increasingly investing in retaining their top talent, especially through offering flexible work hours (45%), increasing base salaries (41%) and offering up remote or hybrid work models (40%).

■ Businesses are investing more in IT training (52 percent), cloud (42 percent), network (37 percent), and security compliance (36 percent).

■ Top enterprise IT needs for MSPs include 24/7 IT monitoring support (29 percent), support for remote work (24 percent), and decreased IT downtime (24 percent).

■ The majority of global MSPs expect most of their end customers to be fully in the cloud within the next five years.

Based on LogicMonitor’s research results, MSPs have identified a focus on automation, AIOps, and other modern technologies as imperative to limit risk and future-proof their businesses.

Making the Case for Automation

Growing MSPs that want to lead the market are investing in solutions that will empower engineers and free them from rote tasks that impede scalability. Many are turning to cloud initiatives, AIOps, and automation to address both immediate and long-term concerns:

■ 95 percent of MSP leaders believe automating their processes is necessary in order to gain the time to focus on innovation and strategic goals.

■ MSP leaders estimate an average of 39 percent of their manual processes have been automated - yet another 41 percent could still be automated.

■ The top benefits of automating tasks, according to IT leaders, include improved time efficiency (42 percent), reduced errors (34 percent), and increased profits (33 percent).

Methodology: The study surveyed 600 MSP leaders in 9 global markets across North America, EMEA, and APAC to understand the state of MSPs in 2022 and beyond.

Hot Topics

The Latest

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 ...

The gap is widening between what teams spend on observability tools and the value they receive amid surging data volumes and budget pressures, according to The Breaking Point for Observability Leaders, a report from Imply ...