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PagerDuty Operations Cloud Adds Workflow Automation and Private Status Pages

PagerDuty announced the launch of several new capabilities across the PagerDuty Operations Cloud℠: Workflow Automation for Salesforce Service Cloud and Zendesk as well as the release of Private Status Pages for improved alignment and coordination of internal stakeholders.

Customer service teams can potentially reduce the cost associated with using alternate private status pages by as much as 50%1, drive down mean time to resolution (MTTR), improve SLAs and provide better customer experiences with the flexibility and control required to manage stakeholder communications associated with major incidents. CIOs can potentially lower the total cost of ownership associated with incident management practices through an integrated platform to connect customer service teams, internal stakeholders and engineers.

“Leading global brands cannot afford the cost and risk associated with major operational failures that impact their customers and revenue," said Jennifer Tejada, Chairperson and CEO at PagerDuty. “PagerDuty customers continue to choose the Operations Cloud to protect and grow their digital revenue, reduce operating expenses and more efficiently ensure positive customer experiences and trust.”

PagerDuty’s customer service solutions enables teams to detect and react within a few seconds for incidents surfaced by customers in customer service solutions like Salesforce, Zendesk and ServiceNow Customer Service Management. PagerDuty Customer Service Operations (CSOps) delivers a seamless collaboration experience between technical and customer service teams to more quickly and efficiently manage customer issues. By providing better visibility into IT services and enabling a direct line to the service owner to communicate customer-reported issues, PagerDuty is helping customers reduce service interruptions and outages.

PagerDuty triggers workflow automation capabilities from Salesforce Service Cloud and Zendesk, unifying customer service teams on the front lines and technical teams behind the service. Workflow Automation for Salesforce Service Cloud and Zendesk empowers customer support agents to invoke the right response workflows in the context of the apps they normally work with, saving overall time spent on the incident. Specifically, a customer service workflow can be run to inform and notify customer success managers and customer service executives to alert them of a major incident at one of the accounts they manage or oversee, promoting employee engagement and reducing internal toil. Workflows can also be created via Slack channel or Zoom meeting to initiate incident management from customer-reported incidents.

PagerDuty’s integrated Workflow Automation and Private Status Pages reduce coordination overhead with a unified platform that empowers customer service agents, improves visibility, and accelerates resolutions with less total cost of ownership than manual, fragmented and disparate point solutions.

With Private Status Pages, a complement to the company’s previously launched Public Status Pages, PagerDuty offers one centralized platform to easily manage communications with both internal and external stakeholders during large-scale incidents. Updates can be automated or delivered from a “human-in-the-loop” approach, giving all relevant stakeholders a single source of truth. The addition of Private Status Pages to the suite of capabilities within CSOps means companies can consolidate point solutions and save money by using PagerDuty’s unified platform for their incident response and management communications processes. The automation and generative AI-enabled updates PagerDuty offers within the platform further reduce the flood of support tickets, standardize incident response processes, resolve customer issues more quickly, and provide customers with additional clarity and real-time transparency.

“Today, customers expect great digital experiences at every stage, whether it is a transaction online, an interaction with a customer services team, or via every generative AI response,” said Sean Scott, Chief Product Development Officer at PagerDuty. “PagerDuty continues to reaffirm our mission by expanding the power of the PagerDuty Operations Cloud, which empowers customers to grow and protect revenue while improving their customers’ success.”

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PagerDuty Operations Cloud Adds Workflow Automation and Private Status Pages

PagerDuty announced the launch of several new capabilities across the PagerDuty Operations Cloud℠: Workflow Automation for Salesforce Service Cloud and Zendesk as well as the release of Private Status Pages for improved alignment and coordination of internal stakeholders.

Customer service teams can potentially reduce the cost associated with using alternate private status pages by as much as 50%1, drive down mean time to resolution (MTTR), improve SLAs and provide better customer experiences with the flexibility and control required to manage stakeholder communications associated with major incidents. CIOs can potentially lower the total cost of ownership associated with incident management practices through an integrated platform to connect customer service teams, internal stakeholders and engineers.

“Leading global brands cannot afford the cost and risk associated with major operational failures that impact their customers and revenue," said Jennifer Tejada, Chairperson and CEO at PagerDuty. “PagerDuty customers continue to choose the Operations Cloud to protect and grow their digital revenue, reduce operating expenses and more efficiently ensure positive customer experiences and trust.”

PagerDuty’s customer service solutions enables teams to detect and react within a few seconds for incidents surfaced by customers in customer service solutions like Salesforce, Zendesk and ServiceNow Customer Service Management. PagerDuty Customer Service Operations (CSOps) delivers a seamless collaboration experience between technical and customer service teams to more quickly and efficiently manage customer issues. By providing better visibility into IT services and enabling a direct line to the service owner to communicate customer-reported issues, PagerDuty is helping customers reduce service interruptions and outages.

PagerDuty triggers workflow automation capabilities from Salesforce Service Cloud and Zendesk, unifying customer service teams on the front lines and technical teams behind the service. Workflow Automation for Salesforce Service Cloud and Zendesk empowers customer support agents to invoke the right response workflows in the context of the apps they normally work with, saving overall time spent on the incident. Specifically, a customer service workflow can be run to inform and notify customer success managers and customer service executives to alert them of a major incident at one of the accounts they manage or oversee, promoting employee engagement and reducing internal toil. Workflows can also be created via Slack channel or Zoom meeting to initiate incident management from customer-reported incidents.

PagerDuty’s integrated Workflow Automation and Private Status Pages reduce coordination overhead with a unified platform that empowers customer service agents, improves visibility, and accelerates resolutions with less total cost of ownership than manual, fragmented and disparate point solutions.

With Private Status Pages, a complement to the company’s previously launched Public Status Pages, PagerDuty offers one centralized platform to easily manage communications with both internal and external stakeholders during large-scale incidents. Updates can be automated or delivered from a “human-in-the-loop” approach, giving all relevant stakeholders a single source of truth. The addition of Private Status Pages to the suite of capabilities within CSOps means companies can consolidate point solutions and save money by using PagerDuty’s unified platform for their incident response and management communications processes. The automation and generative AI-enabled updates PagerDuty offers within the platform further reduce the flood of support tickets, standardize incident response processes, resolve customer issues more quickly, and provide customers with additional clarity and real-time transparency.

“Today, customers expect great digital experiences at every stage, whether it is a transaction online, an interaction with a customer services team, or via every generative AI response,” said Sean Scott, Chief Product Development Officer at PagerDuty. “PagerDuty continues to reaffirm our mission by expanding the power of the PagerDuty Operations Cloud, which empowers customers to grow and protect revenue while improving their customers’ success.”

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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.