Skip to main content

New xMatters Feature Advancements Announced

xMatters announced new feature advancements designed to facilitate a data-driven DevOps approach to incident resolution.

DevOps, SRE and operations teams can now easily create collaboration channels directly from the xMatters Incident Console, using Slack, Microsoft Teams and Zoom. New pre-built automation steps further streamline the incident resolution process so managers can quickly add notes and assign severity or priority levels to an incident. Because visibility into incident response processes is a key aspect of continuous improvement, xMatters also added the ability to monitor incident volume and severity over different time periods, and enhanced its Post-Incident Report with export capabilities to share insights with cross-functional stakeholders and guide blameless postmortems for continuous improvement.

“Competitive companies don’t want to simply reduce incidents and keep their services running, they want to do so while simultaneously releasing exciting products that customers will love. Traditionally, this has been a hard balance to strike—the faster and more innovative teams try to be, the more likely they are to break existing services or overlook factors that impact the customer experience in production,” said Doug Peete,CPO at xMatters. “Without the proper tools to support their desired velocity, development and operations teams are hamstrung dealing with technical issues that divert time and resources from core product initiatives...”

The latest updates to the xMatters platform facilitate seamless collaboration for ongoing incidents, drive continuous improvement and automate processes to power an adaptive approach to incident resolution:

- Facilitate seamless collaboration for ongoing incidents. Service teams can add collaboration channels like Slack, Microsoft Teams and Zoom conferences to an existing incident directly from the Incident Console. When a Slack or Teams channel is added, the specified name and description, plus a link to the channel will be visible to everyone working on the incident. These channels can be used to share up-to-date incident details for closer collaboration to resolve issues quickly and minimize the severity of the impact. This is also an easy way for incident resolvers to bring their favorite tools into the incident resolution process.

- Drive continuous improvement. To improve the incident response process, a new “Incidents by Severity” widget can be added to the xMatters dashboard to monitor trends in the volume and severity of incidents over different periods—such as over the past 24 hours, the past 90 days or at specific points in time. Managers can also drill through to the Incidents view to explore a graph’s underlying data in more detail. Additionally, new export options for post-incident reporting enable technical teams to share postmortem insights more broadly across the organization.

- React quickly to time-sensitive incidents. When accessing xMatters on the web and on mobile, new functionality in the messaging user interface displays a full-screen list view to guide users to easily access their workflows, forms and scenarios. Incident commanders can find specific messages with the new search bar and ‘star’ frequently accessed forms and scenarios for quick-access to a curated list. Mobile users can also search forms and scenarios, and sort them alphabetically (ascending or descending).

Technology teams can take advantage of these new features to foster dynamic collaboration and automate complex workflows across disparate systems in order to deliver service resilience and drive continuous improvement.

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...

New xMatters Feature Advancements Announced

xMatters announced new feature advancements designed to facilitate a data-driven DevOps approach to incident resolution.

DevOps, SRE and operations teams can now easily create collaboration channels directly from the xMatters Incident Console, using Slack, Microsoft Teams and Zoom. New pre-built automation steps further streamline the incident resolution process so managers can quickly add notes and assign severity or priority levels to an incident. Because visibility into incident response processes is a key aspect of continuous improvement, xMatters also added the ability to monitor incident volume and severity over different time periods, and enhanced its Post-Incident Report with export capabilities to share insights with cross-functional stakeholders and guide blameless postmortems for continuous improvement.

“Competitive companies don’t want to simply reduce incidents and keep their services running, they want to do so while simultaneously releasing exciting products that customers will love. Traditionally, this has been a hard balance to strike—the faster and more innovative teams try to be, the more likely they are to break existing services or overlook factors that impact the customer experience in production,” said Doug Peete,CPO at xMatters. “Without the proper tools to support their desired velocity, development and operations teams are hamstrung dealing with technical issues that divert time and resources from core product initiatives...”

The latest updates to the xMatters platform facilitate seamless collaboration for ongoing incidents, drive continuous improvement and automate processes to power an adaptive approach to incident resolution:

- Facilitate seamless collaboration for ongoing incidents. Service teams can add collaboration channels like Slack, Microsoft Teams and Zoom conferences to an existing incident directly from the Incident Console. When a Slack or Teams channel is added, the specified name and description, plus a link to the channel will be visible to everyone working on the incident. These channels can be used to share up-to-date incident details for closer collaboration to resolve issues quickly and minimize the severity of the impact. This is also an easy way for incident resolvers to bring their favorite tools into the incident resolution process.

- Drive continuous improvement. To improve the incident response process, a new “Incidents by Severity” widget can be added to the xMatters dashboard to monitor trends in the volume and severity of incidents over different periods—such as over the past 24 hours, the past 90 days or at specific points in time. Managers can also drill through to the Incidents view to explore a graph’s underlying data in more detail. Additionally, new export options for post-incident reporting enable technical teams to share postmortem insights more broadly across the organization.

- React quickly to time-sensitive incidents. When accessing xMatters on the web and on mobile, new functionality in the messaging user interface displays a full-screen list view to guide users to easily access their workflows, forms and scenarios. Incident commanders can find specific messages with the new search bar and ‘star’ frequently accessed forms and scenarios for quick-access to a curated list. Mobile users can also search forms and scenarios, and sort them alphabetically (ascending or descending).

Technology teams can take advantage of these new features to foster dynamic collaboration and automate complex workflows across disparate systems in order to deliver service resilience and drive continuous improvement.

The Latest

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 5, the final installment, covers AI's impacts on IT teams ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 4 covers negative impacts of AI ...

APMdigest's Predictions Series concludes with 2026 AI Predictions — industry experts offer predictions on how AI and related technologies will evolve and impact business in 2026. Part 3 covers barriers and challenges for AI ...