Riverbed announced the latest release of Riverbed SteelCentral with significant enhancement of its digital experience management (DEM) platform that helps enterprises ensure the performance of their digital services and optimize the experience of their users.
Whether the components of a service are on-premise, in the cloud or a hybrid of both, Riverbed is extending its holistic, DEM capabilities and services to enhance customers’ ability to manage and troubleshoot the entire digital experience chain.
The latest release of SteelCentral extends its DEM capabilities by:
- Creating a seamless link between end user experience and network performance management
- Accelerating the DevOps application lifecycle with improved container monitoring and enriched application performance troubleshooting
- Adapting to the Big Data requirements brought on by digital transformation
- Accelerating the transition to DEM with new Performance Command Center (PCC) for AWS and Azure
- Delivering SteelCentral Aternity integration with ServiceNow to vastly improve first call resolution
“Many organizations do not understand how all the infrastructure, networks, apps, cloud and end user device elements of their environment impact end user experience while being tasked to become faster and more agile in delivering critical digital services to customers and employees,” said Mike Sargent, SVP and GM of SteelCentral at Riverbed. “The latest release of SteelCentral furthers our vision in being able to provide the comprehensive visibility needed to optimize the performance of the entire digital service chain and achieve business growth.”
Seamlessly Manage All Aspects of the Digital Experience
With this release, SteelCentral is extending the interoperability of the Digital Experience Management platform to deliver seamless monitoring workflow between end user experience and network performance. When investigating performance issues, SteelCentral users are able to analyze device, application, network or infrastructure health traffic in one seamless workflow. With this advancement, Riverbed SteelCentral solidifies its position as the only solution that can seamlessly manage all aspects of the digital experience.
In addition, SteelCentral Aternity also introduces a new integration with ServiceNow to create a closed loop troubleshooting-ticketing solution that automatically generates tickets if certain performance thresholds are exceeded, and provides tier one support professionals with rich performance information to vastly improve first call resolution.
Revolutionary Approach to Container Monitoring for DevOps
The prevalence of container-based approaches to application development has fundamentally shifted DevOps, demanding agility and flexibility as companies release, manage, and troubleshoot new digital services. With this release, SteelCentral introduces a revolutionary approach to container monitoring which manages container and application performance without requiring modifications of the container image itself. This enables companies to instrument a broad array of containerized applications without the burden of having the development team modify how they build the application or the container. This new dynamic approach also works transparently with container orchestrators like Kubernetes or Swarm.
In addition, the release introduces the ability to “stitch” application log messages into application performance data to a full end-to-end transaction record for every transaction. The enriched trace and log data vastly simplifies the effort in troubleshooting performance issues and application errors. Application developers/support can search for a log message and locate every application activity that generated the log message. Further, they can explore the application trace and locate exactly where in the call stack a message was generated. Without this capability, engineers have to resort to using a silo log analytics solution and then taking hours to try to correlate log messages to their code and to their APM data.
Now Manage Network Performance in Large Scale, Large Volume Environments
As digital transformation drives change, the proliferation of big data environments has fundamentally shifted many companies’ networking environments. Industries such as financial services, healthcare, retail and government leverage robust networking environments to enable their day-to-day operations, but maintaining performance and continuity in these environments can be a mission-critical challenge.
With this release, Riverbed vastly increases the ability for companies to manage network performance in large-scale, large-volume environments by improving the ability to capture network information and improving the resiliency of this process. SteelCentral enables companies to capture network performance at greater speeds with the introduction of a 40 gig NIC card for several Riverbed appliances. In addition, SteelCentral doubled the flow capacity to 20 million deduplicated or 200 million raw flows per minute, giving the ability to process more comprehensive information and enriched information for analytical capabilities. Riverbed has also added new capabilities to centrally manage large-scale NPM environments, making global changes as required. The result is a more consistent and nimble approach to managing performance for companies with large-scale, large-volume NPM requirements.
New Performance Command Center Modular Service
As companies instrument and manage DEM performance, finding the knowledge to address performance challenges can present a barrier to success. With this release, Riverbed is helping its customers mitigate this risk by introducing Performance Command Center (PCC), a flexible, modular service offering to help companies leverage Riverbed’s domain expertise and accelerate their digital transformation initiatives. This modular offering covers each of SteelCentral’s performance domains – End User, Network, Application and Infrastructure – and provides flexible implementation and delivery models that enable companies to deploy on-premise, or in Amazon Web Services or Microsoft Azure. Similarly, the implemented service can be transferred to the customer or partner, managed by Riverbed, or managed as a service.
“Our extensive research at EMA has determined that network operations professionals consider end user experience visibility to be an essential feature of network performance management solutions. If they can’t acquire that end user insight through their core NPM solution, they often integrate their network management systems with specialized end user experience monitoring tools,” said Shamus McGillicuddy, Senior Analyst at EMA. “The latest Riverbed SteelCentral launch further consolidates its leadership in end user and digital experience management and in particular its integration of Aternity and NetProfiler products addresses a major need by network operations teams and end user support teams. Overall, Riverbed’s breadth of insight and integrations driven from the end user perspective now leads the industry, with fluid versatility in assimilating network and application performance data and translating it into actionable outcomes, whether for bandwidth optimization, or for ITSM incident remediation or for in-depth application diagnostics.”
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...