Application Deployment Featured Article

Network Instruments Provides Assessment of Application and Cloud Service Performance

April 13, 2010


Network Instruments (News - Alert), a provider of network and application performance management, has announced that its "Observer" performance monitoring platform now provides new reporting and performance tracking features to address service delivery and visibility challenges caused by cloud-based and multi-tiered applications.

Additionally, features have been added to improve baseline accuracy, provide flexibility in storing sensitive data long term, and address financial sector needs.

Observer Reporting Server offers a top-down approach that combines enterprise-wide views, macro- and micro-level reporting and "deep drill-down" for problem resolution.

ORS serves as performance management center by combining packet-based analytics along with NetFlow, SNMP, WMI, IP SLA, WAAS, NBAR and sFlow metrics to provide an overall view of network, system, application and infrastructure health. Using solution-centric workflows, navigate quickly from high-level performance reports to the root cause.

These modules can be configured to present up-to-the-minute updates on VoIP systems, cloud services, application response time, server health, MS Exchange performance, and even URL-based performance reports from service providers. Network, application and infrastructure metrics can be displayed in context of one another for quick performance assessments.

"When managing cloud performance, determining the source of delay and having proof of the cause are critical," said Douglas Smith, co-founder and president of Network Instruments. "With our new performance dashboards, network teams can quickly navigate to expert analysis to pinpoint the cause as internal, their internet provider, or the cloud service provider. Additionally, when working with third parties, Observer decreases resolution time by providing evidence to rule out variables and pinpoint the actual error."

Observer's new features include "Selective GigaStor Storage" to ensure compliance when storing packet-level data long-term, "Baseline Drift Elimination" to lock baselines to purge issues of drift from analysis and enhanced "Financial Application Support" to track trade-level errors and performance statisticswhether trade-by-trade or over multiple days.

Anamika Singh is a contributing editor for TMCnet. To read more of Anamika's articles, please visit her columnist page.

Edited by Marisa Torrieri

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