Everbridge launched an Integration Platform-as-a-Service (iPaaSTM) offering for IT Alerting.
The new self-service integration platform enables enterprise IT organizations to easily build their own integrations with the tools and solutions they already use, such as Application Performance Monitoring (APM), Network Performance Monitoring (NPM), IT Operations Monitoring (ITOM), Security Information and Event Management (SIEM), DevOps, IT Service Management (ITSM) and more.
This new capability also allows IT professionals to bring together the key pieces of their end-to-end IT response processes to improve incident response automation and orchestration.
With its self-service integration platform, Everbridge offers a new, innovative method of delivering integrations that directly empowers IT teams to design and construct custom integrations through point and click actions, enabling them to meet their needs faster.
“As IT organizations increasingly rely on integrated management systems, this mandates lesser reliance on vendors and a greater ability for enterprises to handle integrations using a self-service model. Using this approach, enterprise IT organizations can expedite their time to integrate their management tools with the Everbridge IT Alerting platform to develop a closed loop response automation process to critical IT incidents, changes and requests,” said Vick Vaishnavi, GM, IT Alerting Business at Everbridge. “By leveraging a “no-code” to “low-code” approach, the iPaaS system enables global enterprises to quickly take ownership of integrations for their response process while retaining their choice of management tools that participate in the process.”
Additional benefits of the platform include:
- Automated workflow integration: The self-service platform removes the burden of custom development and automatically maps technology integrations to meet existing workflows.
- No software to install or business rule definition on the end point: Everbridge’s intelligent parsing and mapping engine ingests the incoming alerts, performs the assessment and triggers the appropriate actions.
- Ability to replace and switch end points as tools become interchangeable: The architecture allows IT teams to easily replace their APM, NPM, ITOM, SIEM, Ticketing System management and DevOps tools without breaking down the end-to-end automated response process logic. To be fully operational, it provides real-time health status and activity monitoring.
While Everbridge will continue to offer a growing range of ready-to-use extensions, known as connectors, for major ITOM and ITSM applications, the self-service integration platform will help any team quickly fulfill their particular integration requirements.
Furthermore, when combined with the new Smart Orchestration technology, Everbridge IT Alerting enables full control over the IT task automation process by embedding human decision points within workflows. Using bidirectional communication steps, organizations can remotely control the advancement or execution of any step within a process, such as restarting a server or backing up a database. Remote initiated action can also be performed via SMS, IM, email or phone.
The Latest
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 ...