Welcome!

Weblogic Authors: Yeshim Deniz, Elizabeth White, Michael Meiner, Michael Bushong, Avi Rosenthal

News Feed Item

SL Corporation’s RTView® Provides Application Performance Context for Amazon® CloudWatch® Monitoring

SL Corporation®, a leading provider of application and service-level system monitoring solutions, today announced that their flagship product, RTView® Enterprise Monitor, offers a new adapter for Amazon® CloudWatch® data, enabling users to view a broad array of monitoring metrics for Amazon Web Services (AWS) resources in the context of application performance metrics. RTView further enables users to archive their Amazon CloudWatch metrics, maintaining a long-term history of preferred metrics for historical trend analysis and alerting.

“Amazon EC2 has become the de facto standard for many organizations needing additional on-demand compute power or application development and testing resources,” said Tom Lubinski, CEO of SL Corporation. “A truly holistic view of Application Health State would not be complete without performance information from EC2 instances on which application components may be running. We’re pleased to offer AWS users the ability to automate the integration of these metrics with RTView Enterprise Monitor.”

Amazon CloudWatch enables users to monitor AWS resources in real-time, automatically providing metrics such as CPU utilization, latency, and request counts. SL’s RTView Enterprise Monitor is able to incorporate these metrics along with application performance data obtained from other sources such as an application server or message bus into holistic, single-pane-of-glass views via a highly scalable and customizable platform.

Using the RTView Historian, Amazon CloudWatch metrics can be stored in an arbitrary SQL database for trend analysis. Historical trends can then be used to help define alert thresholds against Amazon CloudWatch data which, when correlated with alerts from other application components through RTView’s alert management system, can help users identify the source of performance problems more quickly.

The lightweight, flexible nature of RTView Enterprise Monitor is also of particular use in complex environments where the monitoring of both cloud-based and on-premise components is required.

About SL Corporation

Over the past 25 years, SL Corporation has become the most knowledgeable and responsive provider of holistic monitoring, analytics, and visibility solutions. SL’s flagship product, RTView, addresses a broad spectrum of enterprise visibility challenges spanning application performance monitoring (APM), business service management (BSM), business activity monitoring (BAM), and component-level infrastructure monitoring. RTView has also become the de facto standard for enhancing visibility into TIBCO middleware, Oracle Coherence in-memory data grids, and complex distributed applications. SL’s exclusive focus on real-time visibility solutions, commitment to customer success, and partner-centric culture are why thousands of industry leaders have chosen to work with SL to support their most critical applications and businesses. SL Corporation can be reached at +1 415-927-8400 or on the web at www.sl.com.

More Stories By Business Wire

Copyright © 2009 Business Wire. All rights reserved. Republication or redistribution of Business Wire content is expressly prohibited without the prior written consent of Business Wire. Business Wire shall not be liable for any errors or delays in the content, or for any actions taken in reliance thereon.

IoT & Smart Cities Stories
Contextual Analytics of various threat data provides a deeper understanding of a given threat and enables identification of unknown threat vectors. In his session at @ThingsExpo, David Dufour, Head of Security Architecture, IoT, Webroot, Inc., discussed how through the use of Big Data analytics and deep data correlation across different threat types, it is possible to gain a better understanding of where, how and to what level of danger a malicious actor poses to an organization, and to determin...
The hierarchical architecture that distributes "compute" within the network specially at the edge can enable new services by harnessing emerging technologies. But Edge-Compute comes at increased cost that needs to be managed and potentially augmented by creative architecture solutions as there will always a catching-up with the capacity demands. Processing power in smartphones has enhanced YoY and there is increasingly spare compute capacity that can be potentially pooled. Uber has successfully ...
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-c...
We are seeing a major migration of enterprises applications to the cloud. As cloud and business use of real time applications accelerate, legacy networks are no longer able to architecturally support cloud adoption and deliver the performance and security required by highly distributed enterprises. These outdated solutions have become more costly and complicated to implement, install, manage, and maintain.SD-WAN offers unlimited capabilities for accessing the benefits of the cloud and Internet. ...
Dion Hinchcliffe is an internationally recognized digital expert, bestselling book author, frequent keynote speaker, analyst, futurist, and transformation expert based in Washington, DC. He is currently Chief Strategy Officer at the industry-leading digital strategy and online community solutions firm, 7Summits.
As IoT continues to increase momentum, so does the associated risk. Secure Device Lifecycle Management (DLM) is ranked as one of the most important technology areas of IoT. Driving this trend is the realization that secure support for IoT devices provides companies the ability to deliver high-quality, reliable, secure offerings faster, create new revenue streams, and reduce support costs, all while building a competitive advantage in their markets. In this session, we will use customer use cases...
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by ...
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a m...
With 10 simultaneous tracks, keynotes, general sessions and targeted breakout classes, @CloudEXPO and DXWorldEXPO are two of the most important technology events of the year. Since its launch over eight years ago, @CloudEXPO and DXWorldEXPO have presented a rock star faculty as well as showcased hundreds of sponsors and exhibitors! In this blog post, we provide 7 tips on how, as part of our world-class faculty, you can deliver one of the most popular sessions at our events. But before reading...
Poor data quality and analytics drive down business value. In fact, Gartner estimated that the average financial impact of poor data quality on organizations is $9.7 million per year. But bad data is much more than a cost center. By eroding trust in information, analytics and the business decisions based on these, it is a serious impediment to digital transformation.