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xMatters Releases Platform Advancements

xMatters announced new adaptive incident management feature advancements that provide increased automation across each stage of the incident management lifecycle – diagnosis and collaboration, resolution and post-incident learning.

New features give DevOps and SRE teams the ability to collaborate across the enterprise, streamlining and automating issue resolution. Technology teams can also benefit from continuous improvement throughout the incident management lifecycle to prevent incident recurrences – leaving more time for product innovation.

“Incident response automation and incident management is quickly evolving to keep pace with digital operations teams. Enterprises need a better way to assess, prevent, respond, solve and learn from technical issues and interruptions,” said Troy McAlpin, xMatters CEO. “Easy-to-build and use automation is a precedent step toward an adaptive approach to incident management. Continuous improvement of traditional ITIL or ITSM practices toward SRE, data-driven and automated approaches are much more effective. If you want to deliver an “always on” customer experience you first have to deliver automation with continuous learning to avoid, prevent and resolve impacts.”

Adaptive incident management solves the challenge of responding to service interruptions across teams, cultures and systems by allowing teams to scale up and down based on changing conditions to efficiently manage incidents of all sizes, impacts and severities. New xMatters platform advancements further enable this adaptive approach by applying increased automation to the phases within the incident management lifecycle.

The following innovations address incident management challenges that technology teams face:

- Diagnosis and Collaboration: New ChatOps integrations offer time-saving ways to engage with incidents and collaborate across teams. With the app for Slack and the new xMatters capabilities in Microsoft Teams, DevOps and SRE teams can remain in their app of choice when declaring an incident and also access incident details for easier collaboration and seamless incident resolution. For on-the-go teams, Android and iOS mobile apps make it possible to manage incidents regardless of location.

- Resolve: To facilitate automated incident responses, reduced downtime and improved overall customer experience, new xMatters Incident Resolution Templates and walk-through guides pre-package workflows for easy customization. Additionally, the new merge step functionality within xMatters Flow Designer reduces the effort and complexity of creating workflows. Teams can now reuse parts of their workflows without losing the valuable context that each unique path provides.

- Post-incident Learning: New purpose-built processes guide teams to create an informed postmortem and thorough record of an incident. With the single press of a button, the new Post–incident Report Builder automatically allows teams to review the incident’s impact and timeline; the root cause and contributing factors; as well as actions taken to mitigate and resolve. Teams can also document and assign follow-up tasks, and create reports that drive learning, continuous improvement and the prevention of recurrences.

These advancements are powered by the architecture of the xMatters platform. This includes Flow Designer for workflow automation; application agnostic integrations that can be used to build powerful toolchains; robust data capture capabilities that allow teams to create comprehensive post-incident reports; sophisticated on-call management, reporting and group definitions; and configurable dashboards for visual incident and team performance tracking.

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xMatters Releases Platform Advancements

xMatters announced new adaptive incident management feature advancements that provide increased automation across each stage of the incident management lifecycle – diagnosis and collaboration, resolution and post-incident learning.

New features give DevOps and SRE teams the ability to collaborate across the enterprise, streamlining and automating issue resolution. Technology teams can also benefit from continuous improvement throughout the incident management lifecycle to prevent incident recurrences – leaving more time for product innovation.

“Incident response automation and incident management is quickly evolving to keep pace with digital operations teams. Enterprises need a better way to assess, prevent, respond, solve and learn from technical issues and interruptions,” said Troy McAlpin, xMatters CEO. “Easy-to-build and use automation is a precedent step toward an adaptive approach to incident management. Continuous improvement of traditional ITIL or ITSM practices toward SRE, data-driven and automated approaches are much more effective. If you want to deliver an “always on” customer experience you first have to deliver automation with continuous learning to avoid, prevent and resolve impacts.”

Adaptive incident management solves the challenge of responding to service interruptions across teams, cultures and systems by allowing teams to scale up and down based on changing conditions to efficiently manage incidents of all sizes, impacts and severities. New xMatters platform advancements further enable this adaptive approach by applying increased automation to the phases within the incident management lifecycle.

The following innovations address incident management challenges that technology teams face:

- Diagnosis and Collaboration: New ChatOps integrations offer time-saving ways to engage with incidents and collaborate across teams. With the app for Slack and the new xMatters capabilities in Microsoft Teams, DevOps and SRE teams can remain in their app of choice when declaring an incident and also access incident details for easier collaboration and seamless incident resolution. For on-the-go teams, Android and iOS mobile apps make it possible to manage incidents regardless of location.

- Resolve: To facilitate automated incident responses, reduced downtime and improved overall customer experience, new xMatters Incident Resolution Templates and walk-through guides pre-package workflows for easy customization. Additionally, the new merge step functionality within xMatters Flow Designer reduces the effort and complexity of creating workflows. Teams can now reuse parts of their workflows without losing the valuable context that each unique path provides.

- Post-incident Learning: New purpose-built processes guide teams to create an informed postmortem and thorough record of an incident. With the single press of a button, the new Post–incident Report Builder automatically allows teams to review the incident’s impact and timeline; the root cause and contributing factors; as well as actions taken to mitigate and resolve. Teams can also document and assign follow-up tasks, and create reports that drive learning, continuous improvement and the prevention of recurrences.

These advancements are powered by the architecture of the xMatters platform. This includes Flow Designer for workflow automation; application agnostic integrations that can be used to build powerful toolchains; robust data capture capabilities that allow teams to create comprehensive post-incident reports; sophisticated on-call management, reporting and group definitions; and configurable dashboards for visual incident and team performance tracking.

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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 ...