Skip to main content

xMatters Announces Enhanced Platform Based on Adaptive Incident Management

xMatters announced platform advancements that are powering a new method for incident response and management––adaptive incident management.

New adaptive incident management features available today in the xMatters platform include:

- an Incident Console to better triage, visualize and guide the entire incident lifecycle

- automation for incident response and improved collaboration

- the ability to quickly and easily scale the response to the incident as it evolves

- comprehensive incident analytics to drive continuous improvement.

Whether it’s a small technical issue affecting one software service or an enterprise-wide outage cascading across business services, these new capabilities empower technology teams to work within their preferred tools and deliver digital service resilience––the ability to recover quickly, adapt and learn from incidents such as performance issues and outages.

“Technology professionals today are expected to not only create and innovate digital services, but are also under extreme pressure to maintain service levels and uptime with well-tuned incident response and management. During a time when there is a critical reliance on digital services, traditional incident management processes and applications are not sufficient,” said Troy McAlpin, CEO at xMatters. “By adding adaptive incident management capabilities to our platform, we are automating repetitive, mundane work, and transforming how services are kept available for customers to enjoy.”

Technology organizations can minimize––and even avoid––the business impact from incidents by automating incident response and management with xMatters. New xMatters adaptive incident management features, which are accessed through the new Incident Console, and powered by xMatters’ visual workflow builder Flow Designer, solve the challenges of responding to service interruptions across different teams, cultures and systems.

New capabilities available from within the xMatters platform empower technology teams to:

■ Bridge incident management processes, data insights and disparate tools for cohesive and collaborative enterprise response automation:

- Incidents Views help teams find, evaluate and collaborate on incidents as they evolve, keeping track of incident statuses and allowing for efficient use of resources.

- The Incident Console shows a live view of an incident as it evolves through its lifecycle, including incident status and severity, notified and engaged responders, associated collaboration channels and roles.

- Incident Status Reports include timelines, key metrics and associated collaboration channels to support stakeholder communications and postmortem activity.

■ Combine the power of human problem-solving and process automation for faster, more targeted resolution:

- Critical incident metrics are automatically collected from integrated systems then delivered with the initial notification, reducing manual look-ups and improving resolution time.

- Flow Designer automations keep related systems up-to-date, including issue tracking systems, service desks, status pages and other supporting systems.

■ Accelerate continuous improvement and service resilience through comprehensive incident data and advanced analytics:

- The Incident Timeline provides a detailed record of what happened and when.

- Resolved incident metrics give teams a way to compare information from one incident to the next so teams can build metrics based on consistent data and improve digital service resilience over time.

- Performance Analytics helps evaluate the cost and impact of incidents in an organization’s environment and identify areas of improvement.

These xMatters platform advances are powered by the technical underpinnings of the xMatters platform. This includes Flow Designer for orchestration and automation, integrations that can be used to build powerful toolchains, sophisticated on-call management, event flood control, and configurable dashboards for visual incident and group performance tracking. With xMatters Flow Designer, teams with roles ranging from software developers to IT generalists can create incident management workflows without a single line of code. This drag and drop experience has revolutionized the way IT, DevOps, Operations and SRE teams integrate, synchronize and automate incident management toolchains.

“Investing in avoiding known types of incidents is an important part of digital service delivery. However, innovative companies know that eliminating incidents completely is impossible in practice. Our mission, then, is to help customers resolve incidents as quickly as possible and minimize their impact,” said Tobias Dunn-Krahn, CTO at xMatters. “We’ve developed the technology needed to make this happen. Now, customers can access powerful yet flexible applications that build upon our renowned approach to workflow automation, range of integration capabilities and sophisticated enterprise grade features to deliver digital service resilience and continuous improvement. By applying an adaptive incident management methodology, teams can automate incident resolution tasks and maximize the time spent making customers happy.”

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...

xMatters Announces Enhanced Platform Based on Adaptive Incident Management

xMatters announced platform advancements that are powering a new method for incident response and management––adaptive incident management.

New adaptive incident management features available today in the xMatters platform include:

- an Incident Console to better triage, visualize and guide the entire incident lifecycle

- automation for incident response and improved collaboration

- the ability to quickly and easily scale the response to the incident as it evolves

- comprehensive incident analytics to drive continuous improvement.

Whether it’s a small technical issue affecting one software service or an enterprise-wide outage cascading across business services, these new capabilities empower technology teams to work within their preferred tools and deliver digital service resilience––the ability to recover quickly, adapt and learn from incidents such as performance issues and outages.

“Technology professionals today are expected to not only create and innovate digital services, but are also under extreme pressure to maintain service levels and uptime with well-tuned incident response and management. During a time when there is a critical reliance on digital services, traditional incident management processes and applications are not sufficient,” said Troy McAlpin, CEO at xMatters. “By adding adaptive incident management capabilities to our platform, we are automating repetitive, mundane work, and transforming how services are kept available for customers to enjoy.”

Technology organizations can minimize––and even avoid––the business impact from incidents by automating incident response and management with xMatters. New xMatters adaptive incident management features, which are accessed through the new Incident Console, and powered by xMatters’ visual workflow builder Flow Designer, solve the challenges of responding to service interruptions across different teams, cultures and systems.

New capabilities available from within the xMatters platform empower technology teams to:

■ Bridge incident management processes, data insights and disparate tools for cohesive and collaborative enterprise response automation:

- Incidents Views help teams find, evaluate and collaborate on incidents as they evolve, keeping track of incident statuses and allowing for efficient use of resources.

- The Incident Console shows a live view of an incident as it evolves through its lifecycle, including incident status and severity, notified and engaged responders, associated collaboration channels and roles.

- Incident Status Reports include timelines, key metrics and associated collaboration channels to support stakeholder communications and postmortem activity.

■ Combine the power of human problem-solving and process automation for faster, more targeted resolution:

- Critical incident metrics are automatically collected from integrated systems then delivered with the initial notification, reducing manual look-ups and improving resolution time.

- Flow Designer automations keep related systems up-to-date, including issue tracking systems, service desks, status pages and other supporting systems.

■ Accelerate continuous improvement and service resilience through comprehensive incident data and advanced analytics:

- The Incident Timeline provides a detailed record of what happened and when.

- Resolved incident metrics give teams a way to compare information from one incident to the next so teams can build metrics based on consistent data and improve digital service resilience over time.

- Performance Analytics helps evaluate the cost and impact of incidents in an organization’s environment and identify areas of improvement.

These xMatters platform advances are powered by the technical underpinnings of the xMatters platform. This includes Flow Designer for orchestration and automation, integrations that can be used to build powerful toolchains, sophisticated on-call management, event flood control, and configurable dashboards for visual incident and group performance tracking. With xMatters Flow Designer, teams with roles ranging from software developers to IT generalists can create incident management workflows without a single line of code. This drag and drop experience has revolutionized the way IT, DevOps, Operations and SRE teams integrate, synchronize and automate incident management toolchains.

“Investing in avoiding known types of incidents is an important part of digital service delivery. However, innovative companies know that eliminating incidents completely is impossible in practice. Our mission, then, is to help customers resolve incidents as quickly as possible and minimize their impact,” said Tobias Dunn-Krahn, CTO at xMatters. “We’ve developed the technology needed to make this happen. Now, customers can access powerful yet flexible applications that build upon our renowned approach to workflow automation, range of integration capabilities and sophisticated enterprise grade features to deliver digital service resilience and continuous improvement. By applying an adaptive incident management methodology, teams can automate incident resolution tasks and maximize the time spent making customers happy.”

The Latest

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

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 ...