AppNeta announced Quick Start Synthetic Workflows for Office365 and Athenahealth as part of its Software-as-a-Service Application Monitoring (SAM) solution. The Quick Start Synthetic Workflows allow AppNeta users to monitor these SaaS applications from the end user, through the network, and all the way to the SaaS application provider.
Quick Start Workflows are authored and maintained by AppNeta, ensuring IT personnel have the most important and up-to-date use cases for application monitoring and management within constantly changing SaaS applications. 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.
Quick Start Workflows can be implemented in five minutes and with no scripting necessary. To get started, users enter their Office365 or Athenahealth credentials and begin monitoring the applications. With the Office365 Quick Start Workflow, AppNeta makes it easy for corporate IT teams to manage and monitor performance for the 420 million worldwide users of Microsoft SaaS solutions.
“AppNeta is committed to addressing the needs of development and IT professionals who build, operate and support business critical web applications,” said Matt Stevens, President and CEO at AppNeta. “This includes professionals that develop and operate custom web applications, as well as those that support the users of SaaS-based external applications.”
“New application strategies like SaaS require new performance monitoring strategies. This is compelling organizations to find APM solutions that can provide the visibility and insights needed for sustained monitoring and accurate, effective troubleshooting of SaaS applications, specifically,” said Jim Frey, VP of Research, Enterprise Management Associates. “AppNeta’s SAM solution has provided such a means for focused monitoring and operational assurance of SaaS apps, first for Salesforce and now also for Office365 and Athenahealth. With the new Quick Start Synthetic Workflows, AppNeta is fulfilling the promise of its initial solution by extending SAM to support more business-critical apps.”
AppNeta’s SAM solution is the only tool on the market to provide SaaS-based full-stack performance insight from the end user through the network to the application. Deploying AppNeta takes minutes rather than hours making it easy to identify and resolve problems in the application, the code, or the network. Adoption of AppNeta’s SAM solution results in enhanced 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 mean-time-to-repair (MTTR), and lower operational costs.
The AppNeta Quick Start Workflows for Office365 and AthenaHealth are available now through AppNeta.
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.