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PagerDuty Introduces Operations Health Management Service

PagerDuty announced Operations Health Management Service (OHMS), a new analytics-driven managed service focused on empowering organizations to measurably improve their operations by prioritizing the health of their employees.

As a part of PagerDuty’s comprehensive portfolio of analytic capabilities, OHMS generates actionable human factor telemetry and industry peer benchmarks, combined with an expert service advisory practice, to empower businesses like SendGrid and SPS Commerce to evaluate and enhance the work-life balance of employees tasked with developing, maintaining and supporting digital services.

Leveraging OHMS, business leaders can proactively manage the health and well-being of their employees using the Operations Health Scores. Doing so results in improved employee retention, reduced costs for recruiting and training talent, and enhanced service delivery and customer satisfaction.

With the cost of replacing just one skilled IT professional reaching $300,0001, it is critical that companies find ways to prioritize HumanOps. PagerDuty OHMS effectively does this by analyzing the data of people’s health with the notification data flowing through an organization. Through the OHMS offering, businesses gain insights around organizational improvements and processes to fix the services causing degradations in health.

Key features include:

- Data-driven health scores: Using a total of 15 health indicators such as frequency of sleep interruptions and time-of-day notifications, the OHMS health score algorithm assigns a score of 0 to 100 for each employee, team, and service by day, week, month, and year. The OHMS Operations Health Score provides a measure of organizational health, empowering businesses to analyze operational maturity and show progress towards departmental and corporate goals.

- Industry and peer benchmarking: PagerDuty has collected anonymized performance data over the last several years across 53 industry verticals, providing businesses with a frame of reference to evaluate their operations health.

- Operations optimization: OHMS diagnoses the sources of health degradation, and recommends tailored solutions that can include process improvements, enabling specific PagerDuty features, updating workflows to follow best practices, and identifying and fixing services causing disruptions.

“The best modern software development organizations are those that understand that human factors such as the health and happiness of their employees are as important as technology in producing high quality software at velocity,” said Stephen O’Grady, Principal Analyst with RedMonk. “With its Operations Health Management offering, PagerDuty is attempting to help give IT professionals an improved work/life balance which in turn provides their employers with more productive employees.”

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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.

PagerDuty Introduces Operations Health Management Service

PagerDuty announced Operations Health Management Service (OHMS), a new analytics-driven managed service focused on empowering organizations to measurably improve their operations by prioritizing the health of their employees.

As a part of PagerDuty’s comprehensive portfolio of analytic capabilities, OHMS generates actionable human factor telemetry and industry peer benchmarks, combined with an expert service advisory practice, to empower businesses like SendGrid and SPS Commerce to evaluate and enhance the work-life balance of employees tasked with developing, maintaining and supporting digital services.

Leveraging OHMS, business leaders can proactively manage the health and well-being of their employees using the Operations Health Scores. Doing so results in improved employee retention, reduced costs for recruiting and training talent, and enhanced service delivery and customer satisfaction.

With the cost of replacing just one skilled IT professional reaching $300,0001, it is critical that companies find ways to prioritize HumanOps. PagerDuty OHMS effectively does this by analyzing the data of people’s health with the notification data flowing through an organization. Through the OHMS offering, businesses gain insights around organizational improvements and processes to fix the services causing degradations in health.

Key features include:

- Data-driven health scores: Using a total of 15 health indicators such as frequency of sleep interruptions and time-of-day notifications, the OHMS health score algorithm assigns a score of 0 to 100 for each employee, team, and service by day, week, month, and year. The OHMS Operations Health Score provides a measure of organizational health, empowering businesses to analyze operational maturity and show progress towards departmental and corporate goals.

- Industry and peer benchmarking: PagerDuty has collected anonymized performance data over the last several years across 53 industry verticals, providing businesses with a frame of reference to evaluate their operations health.

- Operations optimization: OHMS diagnoses the sources of health degradation, and recommends tailored solutions that can include process improvements, enabling specific PagerDuty features, updating workflows to follow best practices, and identifying and fixing services causing disruptions.

“The best modern software development organizations are those that understand that human factors such as the health and happiness of their employees are as important as technology in producing high quality software at velocity,” said Stephen O’Grady, Principal Analyst with RedMonk. “With its Operations Health Management offering, PagerDuty is attempting to help give IT professionals an improved work/life balance which in turn provides their employers with more productive employees.”

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.