Cyara is integrating the Cyara CX Assurance Platform with leading technology solutions for Agile, DevOps and incident management from Splunk, Jira, and ServiceNow.
With these integrations, Cyara’s customers can more quickly and conveniently troubleshoot and resolve CX issues such as dropped calls or delays, and better utilize enterprise toolchains that support Agile software development and operations.
“Being on top of CX issues and immediately getting them into the development cycle for resolution is mission-critical for our customers,” said Alok Kulkarni, CEO and co-founder, Cyara. “Successful CX innovation requires continuous testing and test automation, and these integrations simplify and speed that process.”
By sharing CX data across previously disconnected systems, the new integrations eliminate duplicative work and optimize workflows for enterprise teams to respond to customer-impacting issues, reducing time to resolution and ultimately enabling enterprises to deliver higher quality CX, faster.
- Consolidated IT Monitoring with Splunk: Cyara can now send alarms, clearing events and monitoring data feeds to Splunk. Cyara’s detailed outside-in perspective on CX performance provides key insights and complements the internal, log-related data traditionally housed in Splunk. By correlating data from Cyara and internal systems, CX and IT professionals can quickly identify the root cause of CX issues. For example, Cyara data may identify that customer information was incorrect on a web page or in an IVR prompt, and the underlying log data could reveal the root cause, such as a specific middleware server.
- Automated Defect Tracking with Jira: Integration with Atlassian’s Jira, a popular solution for managing software development and defect tracking, will allow for efficient bug reporting. Through this integration, defect reporting and tracking becomes an automated process facilitating continuous testing and rapid iteration. IT technicians can now create a Jira defect directly from within Cyara while they are reviewing test results. That tracked defect in Jira remains linked to Cyara’s functional test results, making issue details and even call recordings easily accessible, facilitating defect resolution.
- Streamlined Ticketing and Support with ServiceNow: The Cyara platform, which monitors CX systems and delivers real-time issue alerts via desktop or mobile phone, can now create tickets in the ServiceNow IT ticketing system, enabling rapid response and reduced mean time to repair. Once Cyara identifies an operational issue in the customer experience, a Cyara user can initiate a ServiceNow ticket, automatically populating the information captured by Cyara directly in the Cyara monitoring results page or Pulse Dashboard. To facilitate collaboration and coordination, other Cyara users are notified of new tickets via Push Notifications to the Cyara Pulse Mobile App and within the Cyara web portal.
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 ...