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Everbridge Adds New IT Alerting Capabilities

Everbridge announced significant enhancements to its IT Alerting solution, including new Smart Analytics and ChatOps integrations.

By leveraging IT Alerting’s automated incident response capabilities, companies of all sizes have achieved faster IT incident resolution through improved communication, collaboration and decision-analytics that resulted in more efficient workflow-based processes.

The new release enables senior IT executives to gain insights into Incident response performance to help improve their teams’ efficiency and minimize the business impacts of unplanned downtime.

Additional new capabilities include:

- Interactive Dashboards: The solution gives visibility into Incident Response across all areas of IT: Service Operations, Security Operations, DevOps and IT BC/DR. These interactive analytics are also available to be used in the Global Operations Centers and the NOCs/SOCs.

- Incident Response Trending: Incident response trending is available by group, time or type to help continuously improve processes and assist managers with resource planning and optimizing response times and SLAs. With interactive response timeline monitoring, and early warnings, businesses can proactively ensure adherence to the organizational Service Level Objectives.

- ChatOps Integration: 360-degree collaboration toolset now offers ChatOps integration. Cross-functional teams can collaborate on a given incident in real-time for best efficiency, using tools from pin-less instant conference bridges to team collaboration platforms such as Slack. The solution also offers the storage and retrieval of an audit trail to enable knowledge sharing and after-action report used for post-mortem and continuous improvement.

“Given the complexity of today’s digital environments, studies have shown that continuously adding more IT staff to cope with an increasing number of IT incidents is not a scalable solution anymore. For an organization to respond to IT critical events in a consistent and timely manner, Response Automation solutions have become a must-have,” says Vick Vaishnavi, GM, IT Alerting and IoT, Everbridge. “Not only does our new release of IT Alerting offer more interactive collaboration options, but it also provides the analytics and insights needed by management to rethink and streamline their incident response processes “

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Everbridge Adds New IT Alerting Capabilities

Everbridge announced significant enhancements to its IT Alerting solution, including new Smart Analytics and ChatOps integrations.

By leveraging IT Alerting’s automated incident response capabilities, companies of all sizes have achieved faster IT incident resolution through improved communication, collaboration and decision-analytics that resulted in more efficient workflow-based processes.

The new release enables senior IT executives to gain insights into Incident response performance to help improve their teams’ efficiency and minimize the business impacts of unplanned downtime.

Additional new capabilities include:

- Interactive Dashboards: The solution gives visibility into Incident Response across all areas of IT: Service Operations, Security Operations, DevOps and IT BC/DR. These interactive analytics are also available to be used in the Global Operations Centers and the NOCs/SOCs.

- Incident Response Trending: Incident response trending is available by group, time or type to help continuously improve processes and assist managers with resource planning and optimizing response times and SLAs. With interactive response timeline monitoring, and early warnings, businesses can proactively ensure adherence to the organizational Service Level Objectives.

- ChatOps Integration: 360-degree collaboration toolset now offers ChatOps integration. Cross-functional teams can collaborate on a given incident in real-time for best efficiency, using tools from pin-less instant conference bridges to team collaboration platforms such as Slack. The solution also offers the storage and retrieval of an audit trail to enable knowledge sharing and after-action report used for post-mortem and continuous improvement.

“Given the complexity of today’s digital environments, studies have shown that continuously adding more IT staff to cope with an increasing number of IT incidents is not a scalable solution anymore. For an organization to respond to IT critical events in a consistent and timely manner, Response Automation solutions have become a must-have,” says Vick Vaishnavi, GM, IT Alerting and IoT, Everbridge. “Not only does our new release of IT Alerting offer more interactive collaboration options, but it also provides the analytics and insights needed by management to rethink and streamline their incident response processes “

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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 ...