Skip to main content

xMatters Adds New Dashboard Widgets, Reports, ChatOps Integrations and More

xMatters announced new product advancements that provide DevOps teams comprehensive insights into incidents and their triggering events, better support post-mortem reporting and automate resolution.

New xMatters platform features available today include dynamic event traffic and group performance dashboard widgets, the ability to view and export detailed context of incident response activities, and enhanced ChatOps integrations and automations with Microsoft Teams and Slack.

xMatters is also adding new DevOps steps to its visual workflow builder, Flow Designer, to better support inbound triggers coming from Splunk, as well as enhancements that empower developers to more efficiently build projects in Jenkins, either on premises or in the cloud.

“For our customers, digital business is their lifeblood and when that business is interrupted every second counts. This is more important as the pandemic-imposed way of working and doing business continues to place pressure on technical teams to respond quickly and keep digital services running,” said Troy McAlpin, CEO at xMatters. “Advances in xMatters analytics and automation provide the insights needed to seamlessly deliver uninterrupted customer experiences. Unlike other solutions that offer this as an add-on, these capabilities are baked into our platform and available to all customers today.”

New xMatters platform capabilities enable DevOps teams to easily understand the cause and impact of incidents in their environment and respond faster to reach a resolution. xMatters includes reporting and analytics in the fabric of its platform and is making it available to subscribers at all tiers to promote continuous learning.

New features include:

- Dynamic event traffic and group performance dashboard widgets identify hotspots in service architecture and efficiency challenges in the incident response and management process to support continuous improvement initiatives.

- Comprehensive incident response reports provide detailed context of all event activity, including who was on-call, who responded and play-by-play comments for more in-depth analysis in post-mortems.

- Enhanced ChatOps integrations and automations with Microsoft Teams and Slack to automate standard incident response tasks.

- New automated steps in xMatters visual workflow builder, Flow Designer, easily initiate DevOps workflows from Splunk signals and more efficiently use Jenkins for rollbacks, failovers and other essential tasks, on premises or in the cloud.

- New powerful search filters and views quickly find configuration issues with on-call users, groups and dynamic teams.

- Added mobile support for Android improves shift visibility, event management and collaboration for on-call teams from anywhere, on any device.

All new features announced today are available immediately

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...

xMatters Adds New Dashboard Widgets, Reports, ChatOps Integrations and More

xMatters announced new product advancements that provide DevOps teams comprehensive insights into incidents and their triggering events, better support post-mortem reporting and automate resolution.

New xMatters platform features available today include dynamic event traffic and group performance dashboard widgets, the ability to view and export detailed context of incident response activities, and enhanced ChatOps integrations and automations with Microsoft Teams and Slack.

xMatters is also adding new DevOps steps to its visual workflow builder, Flow Designer, to better support inbound triggers coming from Splunk, as well as enhancements that empower developers to more efficiently build projects in Jenkins, either on premises or in the cloud.

“For our customers, digital business is their lifeblood and when that business is interrupted every second counts. This is more important as the pandemic-imposed way of working and doing business continues to place pressure on technical teams to respond quickly and keep digital services running,” said Troy McAlpin, CEO at xMatters. “Advances in xMatters analytics and automation provide the insights needed to seamlessly deliver uninterrupted customer experiences. Unlike other solutions that offer this as an add-on, these capabilities are baked into our platform and available to all customers today.”

New xMatters platform capabilities enable DevOps teams to easily understand the cause and impact of incidents in their environment and respond faster to reach a resolution. xMatters includes reporting and analytics in the fabric of its platform and is making it available to subscribers at all tiers to promote continuous learning.

New features include:

- Dynamic event traffic and group performance dashboard widgets identify hotspots in service architecture and efficiency challenges in the incident response and management process to support continuous improvement initiatives.

- Comprehensive incident response reports provide detailed context of all event activity, including who was on-call, who responded and play-by-play comments for more in-depth analysis in post-mortems.

- Enhanced ChatOps integrations and automations with Microsoft Teams and Slack to automate standard incident response tasks.

- New automated steps in xMatters visual workflow builder, Flow Designer, easily initiate DevOps workflows from Splunk signals and more efficiently use Jenkins for rollbacks, failovers and other essential tasks, on premises or in the cloud.

- New powerful search filters and views quickly find configuration issues with on-call users, groups and dynamic teams.

- Added mobile support for Android improves shift visibility, event management and collaboration for on-call teams from anywhere, on any device.

All new features announced today are available immediately

The Latest

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

As AI adoption accelerates, operational complexity — not model intelligence — is becoming the primary barrier to reliable AI at scale, according to the State of AI Engineering 2026 from Datadog ... The report highlights a compounding complexity challenge as AI systems scale ... Around 5% of AI model requests fail in production, with nearly 60% of those failures caused by capacity limits ...

For years, production operations teams have treated alert fatigue as a quality-of-life problem: something that makes on-call rotations miserable but isn't considered a direct contributor to outages. That framing doesn't capture how these systems fail, and we now have data to show why. More importantly, it's now clear alert fatigue is a symptom of a deeper issue: production systems have outgrown the current operational approaches ...

I was on a customer call last fall when an enterprise architect said something I haven't been able to shake. Her team had just spent four months trying to swap one AI vendor for another. The original plan said three weeks. "We didn't switch vendors," she told me. "We rebuilt half our integrations and discovered what we'd actually been depending on." Most enterprise leaders don't expect that to be the experience ...

Ask any senior SRE or platform engineer what keeps them up at night, and the answer probably isn't the monitoring tool — it's the data feeding it. The proliferation of APM, observability, and AIOps platforms has created a telemetry sprawl problem that most teams manage reactively rather than architect proactively. Metrics are going to one platform. Traces routed somewhere else. Logs duplicated across multiple backends because nobody wants to be caught without them when something breaks. Every redundant stream costs money ...

80% of respondents agree that the IT role is shifting from operators to orchestrators, according to the 2026 IT Trends Report: The Human Side of Autonomous IT from SolarWinds ...