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Nastel Introduces New AutoPilot SaaS

Nastel Technologies introduced its AutoPilot SaaS deployment option to offer enterprises a choice in how they deploy their application performance monitoring solution - on-premise or off and to help these organizations lower costs and gain more flexibility and control over distributed application environments.

Secured by CloudPrime's cloud-based connectivity solution and running in either Amazon EC2 or IBM SmartCloud, CloudPrime will establish a secure connection between the enterprises' network applications and the AutoPilot SaaS solution residing in the cloud allowing each access to the other as if they were on the same network.

AutoPilot SaaS monitors and reports on the performance of composite applications consisting of web, legacy, and cloud-based components.

AutoPilot SaaS can be used to monitor compliance delivering the transparency businesses need to meet regulatory requirements.

It also provides real-time message tracking and end-to-end performance of applications, middleware messaging and transactions.

The centerpiece of AutoPilot SaaS is Nastel's Complex Event Processing engine which provides low-latency analytics, easily handling the volume of transactions and event data from the largest customers in the world.

The AutoPilot SaaS solution covers a wide range of platforms including Java, .NET, WebSphere MQ, ESB and DataPower, TIBCO RV and EMS, Solace appliances and mainframe CICS, MQ and DB2.

AutoPilot SaaS enables companies to:

- Improve their competitive position by being able to instantly analyze the performance of their composite applications and messaging infrastructures and determine the root cause of all abnormal behavior

- Reduce costs by acquiring the power of a large datacenter monitoring solution without having to manage servers and upgrades

- Move costs from CapEx to OpEx and free up budget

Key features of AutoPilot SaaS include:

- Industry leading real-time analytics, driven by an integrated complex event processing (CEP) engine that supports de-duplication, suppression of alerts and avoidance of false positives

- In-depth reporting that includes historical key performance indicators (KPIs)

- Automatic Stitching capabilities to track business transactions across multiple technologies and provide end-to-end visibility across Web and legacy tiers, including Java, .NET, WMQ and CICS

- A unified platform for monitoring all middleware, commercial and homegrown solutions, on a single pane of glass

"Enterprise organizations face constant competitive pressure, have mandates to reduce operational costs and are plagued by a never ending series of regulatory challenges," said Julie Craig, research director, Enterprise Management Associates. "Nastel can help these firms through its exceptionally strong analytics and correlation capabilities and its ability to monitor most of the major middleware platforms. These capabilities can reduce the number and duration of outages, obviate the need for eyes-on-screen monitoring, and minimize the number of tools required for APM monitoring."

"The mounting pressures to control costs, drive innovation and remain competitive are top of mind for our clients right now," said Charley Rich, vice president of product management for Nastel. "Providing them with the option to move to a SaaS model for application performance monitoring while maintaining an equal level of functionality, visibility and support as traditional solutions enables greater flexibility and lowers the overall demand on IT staff."

AutoPilot SaaS is available now.

Click here for more information on AutoPilot SaaS

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The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...

Nastel Introduces New AutoPilot SaaS

Nastel Technologies introduced its AutoPilot SaaS deployment option to offer enterprises a choice in how they deploy their application performance monitoring solution - on-premise or off and to help these organizations lower costs and gain more flexibility and control over distributed application environments.

Secured by CloudPrime's cloud-based connectivity solution and running in either Amazon EC2 or IBM SmartCloud, CloudPrime will establish a secure connection between the enterprises' network applications and the AutoPilot SaaS solution residing in the cloud allowing each access to the other as if they were on the same network.

AutoPilot SaaS monitors and reports on the performance of composite applications consisting of web, legacy, and cloud-based components.

AutoPilot SaaS can be used to monitor compliance delivering the transparency businesses need to meet regulatory requirements.

It also provides real-time message tracking and end-to-end performance of applications, middleware messaging and transactions.

The centerpiece of AutoPilot SaaS is Nastel's Complex Event Processing engine which provides low-latency analytics, easily handling the volume of transactions and event data from the largest customers in the world.

The AutoPilot SaaS solution covers a wide range of platforms including Java, .NET, WebSphere MQ, ESB and DataPower, TIBCO RV and EMS, Solace appliances and mainframe CICS, MQ and DB2.

AutoPilot SaaS enables companies to:

- Improve their competitive position by being able to instantly analyze the performance of their composite applications and messaging infrastructures and determine the root cause of all abnormal behavior

- Reduce costs by acquiring the power of a large datacenter monitoring solution without having to manage servers and upgrades

- Move costs from CapEx to OpEx and free up budget

Key features of AutoPilot SaaS include:

- Industry leading real-time analytics, driven by an integrated complex event processing (CEP) engine that supports de-duplication, suppression of alerts and avoidance of false positives

- In-depth reporting that includes historical key performance indicators (KPIs)

- Automatic Stitching capabilities to track business transactions across multiple technologies and provide end-to-end visibility across Web and legacy tiers, including Java, .NET, WMQ and CICS

- A unified platform for monitoring all middleware, commercial and homegrown solutions, on a single pane of glass

"Enterprise organizations face constant competitive pressure, have mandates to reduce operational costs and are plagued by a never ending series of regulatory challenges," said Julie Craig, research director, Enterprise Management Associates. "Nastel can help these firms through its exceptionally strong analytics and correlation capabilities and its ability to monitor most of the major middleware platforms. These capabilities can reduce the number and duration of outages, obviate the need for eyes-on-screen monitoring, and minimize the number of tools required for APM monitoring."

"The mounting pressures to control costs, drive innovation and remain competitive are top of mind for our clients right now," said Charley Rich, vice president of product management for Nastel. "Providing them with the option to move to a SaaS model for application performance monitoring while maintaining an equal level of functionality, visibility and support as traditional solutions enables greater flexibility and lowers the overall demand on IT staff."

AutoPilot SaaS is available now.

Click here for more information on AutoPilot SaaS

The Latest

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.

The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...