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AppNeta Announces Support for Service Apps with SaaS Application Monitoring Quick Start Workflows for Desk.com and Zendesk

AppNeta announced application extensions for Desk.com and Zendesk with its SaaS Application Monitoring (SAM) solution.

These Quick Start Synthetic Workflows allow AppNeta users to more easily and effectively monitor SaaS applications from the end-user, through the network all the way to the SaaS provider.

The need for easy-to-use SaaS service desk applications is rising as businesses become more agile and move their critical applications to the cloud. SaaS-based service and support desk applications help businesses create a one-stop resource for clients and users, track trouble ticket time, group purchase requests and prioritize tasks. Businesses are then able to meet the needs of their clients by ensuring a successful service experience, thereby creating less shopping cart abandonment.

SAM’s performance monitoring gives the IT team visibility into the root cause of any issues impacting support application performance, assuring a successful user experience with that support application and, as a result, the brand leveraging that application. In a 2013 Deloitte survey of 5,000 online global consumers, 83 percent indicated that they consistently needed some type of support during their online shopping journey. A significant percentage of these online consumers, 71 percent, expected support within five minutes, 82 percent noted quick issue resolution as the most important element of a great online experience and 56 percent expected their issue to be resolved in a single interaction. If support was not received within five minutes, 48 percent indicated they would abandon their shopping cart, resulting in lost sales.

“AppNeta’s SAM solution and Quick Start Workflows provide immediate visibility into the growing world of business-critical SaaS applications,” said Matt Stevens, CEO and President at AppNeta. “This visibility helps businesses understand what’s going on and prevents costly downtime,” said Matt Stevens, CEO and President at AppNeta

More than 45,000 businesses globally use Zendesk, servicing more than 300 million people in 140 different countries. With AppNeta’s new Quick Start Workflows for Zendesk and Desk.com, managing and monitoring the performance of these apps has never been easier.

Quick Start Workflows are authored and maintained by AppNeta, ensuring IT has the most important use cases for application monitoring and management within constantly changing SaaS applications. Quick Start Workflows can be implemented in five minutes, with no scripting necessary. Users simply enter their SaaS-specific credentials and start monitoring. AppNeta monitoring provides the same metrics from every location by using the same templates, user actions, and user configuration from every office or datacenter, allowing seamless comparison between offices.

AppNeta addresses the needs of development and IT professionals who build, operate, and support business critical web applications. This includes professionals who develop and operate custom web applications, as well as those that support the users of SaaS-based external applications.

AppNeta’s SAM solution results in improved end user satisfaction and decreased operational costs. SaaS vendors can increase revenue and reduce churn while internal IT managers can achieve higher customer satisfaction, faster MTTR, and lower operational costs.

Quick Start Workflows for Desk.com and Zendesk are available now with AppNeta’s SAM solution.

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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 ...

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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 ...

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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.

AppNeta Announces Support for Service Apps with SaaS Application Monitoring Quick Start Workflows for Desk.com and Zendesk

AppNeta announced application extensions for Desk.com and Zendesk with its SaaS Application Monitoring (SAM) solution.

These Quick Start Synthetic Workflows allow AppNeta users to more easily and effectively monitor SaaS applications from the end-user, through the network all the way to the SaaS provider.

The need for easy-to-use SaaS service desk applications is rising as businesses become more agile and move their critical applications to the cloud. SaaS-based service and support desk applications help businesses create a one-stop resource for clients and users, track trouble ticket time, group purchase requests and prioritize tasks. Businesses are then able to meet the needs of their clients by ensuring a successful service experience, thereby creating less shopping cart abandonment.

SAM’s performance monitoring gives the IT team visibility into the root cause of any issues impacting support application performance, assuring a successful user experience with that support application and, as a result, the brand leveraging that application. In a 2013 Deloitte survey of 5,000 online global consumers, 83 percent indicated that they consistently needed some type of support during their online shopping journey. A significant percentage of these online consumers, 71 percent, expected support within five minutes, 82 percent noted quick issue resolution as the most important element of a great online experience and 56 percent expected their issue to be resolved in a single interaction. If support was not received within five minutes, 48 percent indicated they would abandon their shopping cart, resulting in lost sales.

“AppNeta’s SAM solution and Quick Start Workflows provide immediate visibility into the growing world of business-critical SaaS applications,” said Matt Stevens, CEO and President at AppNeta. “This visibility helps businesses understand what’s going on and prevents costly downtime,” said Matt Stevens, CEO and President at AppNeta

More than 45,000 businesses globally use Zendesk, servicing more than 300 million people in 140 different countries. With AppNeta’s new Quick Start Workflows for Zendesk and Desk.com, managing and monitoring the performance of these apps has never been easier.

Quick Start Workflows are authored and maintained by AppNeta, ensuring IT has the most important use cases for application monitoring and management within constantly changing SaaS applications. Quick Start Workflows can be implemented in five minutes, with no scripting necessary. Users simply enter their SaaS-specific credentials and start monitoring. AppNeta monitoring provides the same metrics from every location by using the same templates, user actions, and user configuration from every office or datacenter, allowing seamless comparison between offices.

AppNeta addresses the needs of development and IT professionals who build, operate, and support business critical web applications. This includes professionals who develop and operate custom web applications, as well as those that support the users of SaaS-based external applications.

AppNeta’s SAM solution results in improved end user satisfaction and decreased operational costs. SaaS vendors can increase revenue and reduce churn while internal IT managers can achieve higher customer satisfaction, faster MTTR, and lower operational costs.

Quick Start Workflows for Desk.com and Zendesk are available now with AppNeta’s SAM solution.

The Latest

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.