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AppEnsure Launches APM Solution

AppEnsure introduced its application performance monitoring and management solution.

AppEnsure automatically measures response time and throughput for all applications, including custom developed and purchased, in all locations; physical, virtualized, public and private cloud.

From a one click install, AppEnsure takes only minutes to deliver value with automatic discovery and naming of all applications, without any user configuration.

Every transaction is mapped both virtually and physically with automatic baselining of historical response times. This App Ops-focused solution gives fast time to resolution by delivering root cause analysis with automated application visibility, presenting clear instructions for the fast resolution of issues by operations teams responsible for the support of every production application.

With AppEnsure, users can:

- Quickly discover applications -- both custom and off-the-shelf, applications are automatically discovered by name and topology, keeping updated even in dynamic hybrid deployments

- Access real-time, correlated, root cause analysis -- providing actionable, real-time data when response time and throughput of an application decline

- Work with both custom developed and off-the-shelf applications -- written to both Windows and Linux, whether they are deployed on physical, virtual or cloud infrastructures.

"Understanding the root cause of application performance issues has become increasingly difficult as companies move from traditional physical infrastructures to cloud and virtualized environments. This move has created a large increase in IT spend, as organizations attempt to manage these performance issues," said Colin L.M. Macnab, CEO and co-founder of AppEnsure.

"We founded AppEnsure to address the deficiency in current performance management systems and help companies overcome these limitations by providing a simple way to measure response time and throughput of everything in their computing environment distributed across physical, datacenter, private and public clouds. Our goal is to provide the necessary tools for ensuring mission critical application performance for all applications, not just custom ones."

In response to the demand from Citrix and VMware's VAR channel, AppEnsure is now enabling VARs to demonstrate the effectiveness of currently implemented and proposed projects, free of cost. VARs can use AppEnsure to baseline the performance of an environment prior to implementing a project, and then demonstrate that a project has in fact delivered the desired improvements in application performance upon its completion. Participation in the Project License Program is open to qualified VARs who register each project with AppEnsure.

AppEnsure's application management solution is currently available.

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AppEnsure Launches APM Solution

AppEnsure introduced its application performance monitoring and management solution.

AppEnsure automatically measures response time and throughput for all applications, including custom developed and purchased, in all locations; physical, virtualized, public and private cloud.

From a one click install, AppEnsure takes only minutes to deliver value with automatic discovery and naming of all applications, without any user configuration.

Every transaction is mapped both virtually and physically with automatic baselining of historical response times. This App Ops-focused solution gives fast time to resolution by delivering root cause analysis with automated application visibility, presenting clear instructions for the fast resolution of issues by operations teams responsible for the support of every production application.

With AppEnsure, users can:

- Quickly discover applications -- both custom and off-the-shelf, applications are automatically discovered by name and topology, keeping updated even in dynamic hybrid deployments

- Access real-time, correlated, root cause analysis -- providing actionable, real-time data when response time and throughput of an application decline

- Work with both custom developed and off-the-shelf applications -- written to both Windows and Linux, whether they are deployed on physical, virtual or cloud infrastructures.

"Understanding the root cause of application performance issues has become increasingly difficult as companies move from traditional physical infrastructures to cloud and virtualized environments. This move has created a large increase in IT spend, as organizations attempt to manage these performance issues," said Colin L.M. Macnab, CEO and co-founder of AppEnsure.

"We founded AppEnsure to address the deficiency in current performance management systems and help companies overcome these limitations by providing a simple way to measure response time and throughput of everything in their computing environment distributed across physical, datacenter, private and public clouds. Our goal is to provide the necessary tools for ensuring mission critical application performance for all applications, not just custom ones."

In response to the demand from Citrix and VMware's VAR channel, AppEnsure is now enabling VARs to demonstrate the effectiveness of currently implemented and proposed projects, free of cost. VARs can use AppEnsure to baseline the performance of an environment prior to implementing a project, and then demonstrate that a project has in fact delivered the desired improvements in application performance upon its completion. Participation in the Project License Program is open to qualified VARs who register each project with AppEnsure.

AppEnsure's application management solution is currently available.

The Latest

Outages aren't new. What's new is how quickly they spread across systems, vendors, regions and customer workflows. The moment that performance degrades, expectations escalate fast. In today's always-on environment, an outage isn't just a technical event. It's a trust event ...

Most organizations approach OpenTelemetry as a collection of individual tools they need to assemble from scratch. This view misses the bigger picture. OpenTelemetry is a complete telemetry framework with composable components that address specific problems at different stages of organizational maturity. You start with what you need today and adopt additional pieces as your observability practices evolve ...

One of the earliest lessons I learned from architecting throughput-heavy services is that simplicity wins repeatedly: fewer moving parts, loosely coupled execution (fewer synchronous calls), and precise timing metering. You want data and decisions to travel the shortest possible path. The goal is to build a system where every strategy and each line of code (contention is the key metric) complements the decision trees ...

As discussions around AI "autonomous coworkers" accelerate, many industry projections assume that agents will soon operate alongside human staff in making decisions, taking actions, and managing tasks with minimal oversight. But a growing number of critics (including some of the developers building these systems) argue that the industry still has a long way to go to be able to treat AI agents like fully trusted teammates ...

Enterprise AI has entered a transformational phase where, according to Digitate's recently released survey, Agentic AI and the Future of Enterprise IT, companies are moving beyond traditional automation toward Agentic AI systems designed to reason, adapt, and collaborate alongside human teams ...

The numbers back this urgency up. A recent Zapier survey shows that 92% of enterprises now treat AI as a top priority. Leaders want it, and teams are clamoring for it. But if you look closer at the operations of these companies, you see a different picture. The rollout is slow. The results are often delayed. There's a disconnect between what leaders want and what their technical infrastructure can handle ...

Kyndryl's 2025 Readiness Report revealed that 61% of global business and technology leaders report increasing pressure from boards and regulators to prove AI's ROI. As the technology evolves and expectations continue to rise, leaders are compelled to generate and prove impact before scaling further. This will lead to a decisive turning point in 2026 ...

Cloudflare's disruption illustrates how quickly a single provider's issue cascades into widespread exposure. Many organizations don't fully realize how tightly their systems are coupled to thirdparty services, or how quickly availability and security concerns align when those services falter ... You can't avoid these dependencies, but you can understand them ...

If you work with AI, you know this story. A model performs during testing, looks great in early reviews, works perfectly in production and then slowly loses relevance after operating for a while. Everything on the surface looks perfect — pipelines are running, predictions or recommendations are error-free, data quality checks show green; yet outcomes don't meet the ground reality. This pattern often repeats across enterprise AI programs. Take for example, a mid-sized retail banking and wealth-management firm with heavy investments in AI-powered risk analytics, fraud detection and personalized credit-decisioning systems. The model worked well for a while, but transactions increased, so did false positives by 18% ...

Basic uptime is no longer the gold standard. By 2026, network monitoring must do more than report status, it must explain performance in a hybrid-first world. Networks are no longer just static support systems; they are agile, distributed architectures that sit at the very heart of the customer experience and the business outcomes ... The following five trends represent the new standard for network health, providing a blueprint for teams to move from reactive troubleshooting to a proactive, integrated future ...