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Ayehu Partners with Everbridge

Ayehu has partnered with Everbridge to extend its IT Alerting solution with added automation and integration capabilities.

The partnership results in improved IT incident communications and faster incident resolution for maximum system uptime and reduced costs.

For many organizations, common IT incident resolution processes include detection, incident logging, IT staff notification and remediation. This is a fragmented process that involves time-consuming manual activities and communications. Ayehu eyeShare’s integration with Everbridge IT Alerting fills this gap by providing closed-loop workflows with automated targeted notifications to fix IT issues faster and reduce costs for every incident.

“Even very short service outages and interruptions can be extremely damaging to organizations. At Ayehu, we are experts in seamlessly integrating with partner platforms and applications to automate IT tasks and processes that drastically improve results across the board,” said Ayehu CEO, Gabby Nizri. “By combining Ayehu’s automation technology with Everbridge’s IT Alerting, customers will benefit with greater efficiencies, faster resolutions and less costly downtime.”

Ayehu’s integration with Everbridge will automatically notify the right IT staff of an issue via multiple communication channels, allowing them to perform the necessary remediation steps directly from their smartphone. This process reduces the time needed to restore critical services, minimizes service desk calls from impacted customers and improves overall incident management and critical communications processes to both internal and external resolvers, employees, executives and customers.

“By integrating with technologies like Ayehu’s eyeShare, we can further streamline and improve the critical communications process during an outage by offering automated workflow remediation,” said Vincent Geffray, Sr. Director, IT Alerting, Everbridge. “As IT incidents continue to rise, we remain committed to finding the best possible ways for organizations to minimize disruption, effectively communicate during IT incidents and stay on track.”

Additionally, Ayehu will enable Everbridge to add extensive integration capabilities to its platform. As a result, customers will be able to easily and securely integrate their on-premise and cloud applications to Everbridge using Ayehu.

Ayehu eyeShare is an agentless solution that automates simple, repetitive IT tasks as well as complex processes spanning across multiple IT systems, resulting in lower costs, higher levels of efficiency and improved availability of mission-critical systems. In addition to integrating with Everbridge IT Alerting, Ayehu also seamlessly integrates with the leading ITSM platforms such as ServiceNow, JIRA, Remedy and HPSM; network monitoring systems such as Solarwinds, SCOM, Tivoli-Netcool; and several SIEM tools, including Intel-McAfee, Splunk, HP ArcSight, IBM Qradar and more.

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Ayehu Partners with Everbridge

Ayehu has partnered with Everbridge to extend its IT Alerting solution with added automation and integration capabilities.

The partnership results in improved IT incident communications and faster incident resolution for maximum system uptime and reduced costs.

For many organizations, common IT incident resolution processes include detection, incident logging, IT staff notification and remediation. This is a fragmented process that involves time-consuming manual activities and communications. Ayehu eyeShare’s integration with Everbridge IT Alerting fills this gap by providing closed-loop workflows with automated targeted notifications to fix IT issues faster and reduce costs for every incident.

“Even very short service outages and interruptions can be extremely damaging to organizations. At Ayehu, we are experts in seamlessly integrating with partner platforms and applications to automate IT tasks and processes that drastically improve results across the board,” said Ayehu CEO, Gabby Nizri. “By combining Ayehu’s automation technology with Everbridge’s IT Alerting, customers will benefit with greater efficiencies, faster resolutions and less costly downtime.”

Ayehu’s integration with Everbridge will automatically notify the right IT staff of an issue via multiple communication channels, allowing them to perform the necessary remediation steps directly from their smartphone. This process reduces the time needed to restore critical services, minimizes service desk calls from impacted customers and improves overall incident management and critical communications processes to both internal and external resolvers, employees, executives and customers.

“By integrating with technologies like Ayehu’s eyeShare, we can further streamline and improve the critical communications process during an outage by offering automated workflow remediation,” said Vincent Geffray, Sr. Director, IT Alerting, Everbridge. “As IT incidents continue to rise, we remain committed to finding the best possible ways for organizations to minimize disruption, effectively communicate during IT incidents and stay on track.”

Additionally, Ayehu will enable Everbridge to add extensive integration capabilities to its platform. As a result, customers will be able to easily and securely integrate their on-premise and cloud applications to Everbridge using Ayehu.

Ayehu eyeShare is an agentless solution that automates simple, repetitive IT tasks as well as complex processes spanning across multiple IT systems, resulting in lower costs, higher levels of efficiency and improved availability of mission-critical systems. In addition to integrating with Everbridge IT Alerting, Ayehu also seamlessly integrates with the leading ITSM platforms such as ServiceNow, JIRA, Remedy and HPSM; network monitoring systems such as Solarwinds, SCOM, Tivoli-Netcool; and several SIEM tools, including Intel-McAfee, Splunk, HP ArcSight, IBM Qradar and more.

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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 ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.