Leverage end-to-end visibility to achieve actionable insights that improve the performance of any network, app, device, and user.
Every aspect of agency missions — from teleworker productivity to the forward deployed warfighter communications —depends on mission-ready app and network performance. That’s why ensuring assets work the way they should and identifying problems before they arise, is a top mission priority.
Agencies need to be able to gauge performance everywhere, at all times, across a complex web of legacy, mobile, cloud and shadow IT components. End-to-end network visibility is emerging as a key solution to resolve any network performance issues quickly and proactively, while simultaneously protecting the network and preserving data integrity.
Riverbed solutions provide end-to-end visibility into real-time pain points and areas of underperformance, allowing you to quickly detect, diagnose and defeat problems before they impede your operations. By knowing where, when and why issues occur, ensures that IT teams can proactively beat bottlenecks with faster time-to-remediation.
The result? Increased cost savings, improved user experience, greater efficiency, and successful mission delivery.
Riverbed capabilities include:
- End user experience monitoring
- Application topology and visualization
- User-defined transaction profiling
- Application component deep dive
- IT operations analytics (ITOA)
- Traffic modeling
A large Civilian agency was trying to roll out a major, public-facing, application that was having difficulty running on the agency’s new hybrid network environment. New applications that are developed natively in the cloud are often placed in agencies’ production environments where, to perform properly, they must connect to legacy databases — sometimes many of them.
The application in question required data validation across multiple databases located across a number of federal agencies. At times, the process for resolving these queries took far too long, resulting in a negative end-user experience and adversely impacting enrollment targets.
Because of the application’s complexity, the IT team initially struggled to understand what was causing the latency problem. Was it caused by the external agencies’ infrastructure or somewhere else along the application deployment chain?
The agency in this case, a long–time user of Riverbed’s application and network performance monitoring tools, was able to dig into its data and discover the problem within its application environment.
The speed at which this agency was able to identify and remediate the problem was directly due to the complete end-to-end visibility into all application dependencies that Riverbed provided. Without this visibility, the problem likely would have persisted far longer, or been left entirely unaddressed, resulting in significant delays, cost overruns, and political fallout.
The average cost of an enterprise application failure per hour is $500,000 to $1 million.