SteelCentral AppInternals Collector - license - 1 license

Mfg. Part: AIXCOL | CDW Part: 3096393 | UNSPSC: 43232804
Availability: In Stock Ships same day if ordered before 4 PM CT
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Was $3,932.00
$3,398.99 Advertised Price
Lease Option ($100.27/month)
Note: Leasing is available to businesses only. Leasing is not available to individuals.
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Users of Riverbed OPNET AppInternals Xpert can apply big data collection and analysis techniques to application performance management. Big data techniques offer application support, developer, and QA teams deep insight into the end-user experience, speeding problem diagnosis, increasing IT efficiency, and improving application service levels. OPNET AppInternals Xpert provides these capabilities through the combination of Transaction Trace Warehouse, a comprehensive record of all application transactions, and big data analytics.

The scale, diversity, and granularity of data required to comprehensively manage application performance quickly overwhelms traditional performance management solutions. Redundant and virtualized infrastructure, load-balanced applications, and service-oriented architectures further contribute to the exploding volume of available performance data. Given the volume and speed of available data, analytics are essential to identify potential threats and service disruptions. Historically, performance management solutions have dealt with this volume of data by sampling, averaging, or otherwise reducing the granularity of data they collect. These techniques leave customers with inadequate data and insight, losing the ability to track the complete application performance picture for each user and every application.

In contrast, big data collection and analysis techniques gather all data, however large and varied, into a single framework for analysis. Application support teams, development teams, and IT managers gain the ability to search, analyze, and respond to the specific challenges of specific users or individual transactions rather than just managing performance averages. This level of insight is often completely hidden by traditional application performance management tools. The result is faster troubleshooting, increased uptime and the opportunity to proactively identify application issues before they impact business.

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