Appnomic Systems, a provider of automated enterprise and Cloud IT performance management solutions, introduced release 4.0 of its AppsOne solution.
AppsOne 4.0 is an Application Behavior Learning (ABL) solution leveraging real-time application usage patterns in a three-dimensional (3D) performance management model.
Diverse software application architectures and disparate data sources in today’s complex IT ecosystems are introducing multiple potential performance break points. There is a need for new methods to analyze the complex and massive volumes of performance data from Cloud and hybrid IT productions systems. The AppsOne 3D metrics model of monitoring application performance effectively analyzes diverse and massive amounts of application and infrastructure operations data to optimize performance and end user productivity.
"Now that Appnomic has proven AppsOne's success at top banks, online portals, SaaS, and enterprise clients around the globe, we are pleased to announce, for the first time, our latest product release in the US market," said Ray Solnik, president of Appnomic Systems. "Appnomic customers achieve previously unattainable application reliability and performance in a complex Cloud and hybrid world. AppsOne 4.0 further differentiates us from any other option available on the market."
With AppsOne 4.0, Appnomic is bringing to its customers:
- Three Dimensional real time performance analytics: AppsOne 4.0 analyzes metrics across three key dimensions of application performance: 1) real end user transaction response time, 2) infrastructure components, and 3) application usage patterns. The usage patterns set the foundation for a new approach to application operations management. They correlate the other two dimensions to enable innovative approaches to a variety of application stack operations like: Early Warning Alerts of impending application issues, preventative infrastructure configuration changes, capacity planning, reducing transaction response times, and more.
- End User Monitoring (EUM) for all types of applications: AppsOne 4.0 introduces EUM with flexibility in terms of data capture methodology and transaction type. AppsOne 4.0 can capture metrics with javascript injection, network monitoring methods or an agent based approach depending on the IT operations objective or architecture. AppsOne 4.0 EUM may be used for http and non-http transaction types as is often necessary for hybrid environments.
- Automated Forensics: Automated deep dive diagnostics information is now collected with every Early Warning Alert to enable faster root cause analysis (RCA) as well as to automate remediation workflow. This type of IT automation is not available from any other APM product in the market. System administrators can also plug in their diagnostics scripts to collect custom system state data at the time of the alert.
- Support for SAP applications: AppsOne 4.0 customers can monitor the performance of SAP transactions in real time. These include transactions executed via web, ABAP interface and batch jobs. SAP operations support professionals can now benefit from Early Warning Alerts and can use application usage pattern insights to manage capacity for transaction growth.
AppsOne also allows service providers to license support for clients' application performance enhancement and, conversely, allows enterprises to hold service providers accountable for effective and consistent performance.
AppsOne 4.0 service provider clients can use AppsOne EUM to better serve remote customers with quicker root cause analysis of remote user complaints of frustrating, slow transaction experience.
In addition, service provider partners can measure an application stack’s performance behavior before migrating the application from an enterprise data center environment to a Cloud environment.
As a result, enterprise clients of Appnomic service provider partners will have a higher degree of confidence in final results and enable the service provider to commit to an application migration service level agreement (SLA). Both of these use cases allow enterprises to accelerate migration to the Cloud.
The Latest
According to Auvik's 2025 IT Trends Report, 60% of IT professionals feel at least moderately burned out on the job, with 43% stating that their workload is contributing to work stress. At the same time, many IT professionals are naming AI and machine learning as key areas they'd most like to upskill ...
Businesses that face downtime or outages risk financial and reputational damage, as well as reducing partner, shareholder, and customer trust. One of the major challenges that enterprises face is implementing a robust business continuity plan. What's the solution? The answer may lie in disaster recovery tactics such as truly immutable storage and regular disaster recovery testing ...
IT spending is expected to jump nearly 10% in 2025, and organizations are now facing pressure to manage costs without slowing down critical functions like observability. To meet the challenge, leaders are turning to smarter, more cost effective business strategies. Enter stage right: OpenTelemetry, the missing piece of the puzzle that is no longer just an option but rather a strategic advantage ...
Amidst the threat of cyberhacks and data breaches, companies install several security measures to keep their business safely afloat. These measures aim to protect businesses, employees, and crucial data. Yet, employees perceive them as burdensome. Frustrated with complex logins, slow access, and constant security checks, workers decide to completely bypass all security set-ups ...
In MEAN TIME TO INSIGHT Episode 13, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud networking strategy ...
In high-traffic environments, the sheer volume and unpredictable nature of network incidents can quickly overwhelm even the most skilled teams, hindering their ability to react swiftly and effectively, potentially impacting service availability and overall business performance. This is where closed-loop remediation comes into the picture: an IT management concept designed to address the escalating complexity of modern networks ...
In 2025, enterprise workflows are undergoing a seismic shift. Propelled by breakthroughs in generative AI (GenAI), large language models (LLMs), and natural language processing (NLP), a new paradigm is emerging — agentic AI. This technology is not just automating tasks; it's reimagining how organizations make decisions, engage customers, and operate at scale ...
In the early days of the cloud revolution, business leaders perceived cloud services as a means of sidelining IT organizations. IT was too slow, too expensive, or incapable of supporting new technologies. With a team of developers, line of business managers could deploy new applications and services in the cloud. IT has been fighting to retake control ever since. Today, IT is back in the driver's seat, according to new research by Enterprise Management Associates (EMA) ...
In today's fast-paced and increasingly complex network environments, Network Operations Centers (NOCs) are the backbone of ensuring continuous uptime, smooth service delivery, and rapid issue resolution. However, the challenges faced by NOC teams are only growing. In a recent study, 78% state network complexity has grown significantly over the last few years while 84% regularly learn about network issues from users. It is imperative we adopt a new approach to managing today's network experiences ...
From growing reliance on FinOps teams to the increasing attention on artificial intelligence (AI), and software licensing, the Flexera 2025 State of the Cloud Report digs into how organizations are improving cloud spend efficiency, while tackling the complexities of emerging technologies ...