Riverbed is updating its SteelCentral product today with a spring release that provides new network visibility and performance options. Among the improved areas of visibility are Microsoft Azure, Amazon Web Services and container environments.
SteelCentral is a technology that was originally part of the Riverbed Performance Management Suite of products before being rebranded in 2014. Much of that portfolio was gained by way of the $1 billion acquisition of OPNET back in 2012.
"Last year, we offered AppInternals from within the Microsoft Azure Marketplace," Badrinarayanan said. "This means Azure users can deploy AppInternals within Azure, and deploy agents across hybrid environments to gather performance insights."
With the new SteelCentral spring release, Riverbed is now extending cloud support to Azure Cloud Services, Azure’s PaaS offering.
"As a result, AppInternals can scale as the application on Azure scales, by automatically instrumenting servers as the environment scales up or down," Badrinarayanan explained. "This provides continued visibility regardless of the state of the underlying infrastructure the application is running on."
SteelCentral now also provides visibility into containers. Badrinarayanan noted that AppInternals agents can be deployed into containers as they are instantiated, to monitor applications that run within them.
Moving beyond just simply monitoring what's going on in a network, be it a traditional, virtualized, cloud or container network, is the new Application Performance Graph feature in the SteelCentral spring update.
"This release introduces the Application Performance Graph that visually maps interactions between application modules in real-time, regardless of the underlying infrastructure," Badrinarayanan said. "This reveals dependencies and hotspots obscured by the elasticity of the environment so that IT can observe and fix issues with the most overarching business impact."
Sean Michael Kerner is a senior editor at Enterprise Networking Planet and InternetNews.com. Follow him on Twitter @TechJournalist.