
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
While 87% of manufacturing leaders and technical specialists report that ROI from their AIOps initiatives has met or exceeded expectations, only 37% say they are fully prepared to operationalize AI at scale, according to The Future of IT Operations in the AI Era, a report from Riverbed ...
Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...
For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...
For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...
Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...
Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...
Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...
Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...
AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...
More data center leaders are reducing their reliance on utility grids by investing in onsite power for rapidly scaling data centers, according to the Data Center Power Report from Bloom Energy ...