
Riverbed announced the latest release of its Digital Experience Management (DEM) solution Riverbed SteelCentral, with advancements that improve the performance of cloud applications.
The new release changes performance management for cloud architectures with greater visibility of cloud native apps and into cloud-based networks — through the introduction of new Application Performance Management (APM) and Network Performance Management (NPM) capabilities.
With this release of SteelCentral, Riverbed is introducing a new, comprehensive approach to monitor cloud performance that enables enterprises to monitor the digital experience of every application, in any cloud environment.
“As cloud adoption has become ubiquitous, cloud deployments and the applications themselves have become increasingly complex and distributed. Ensuring performance of the end-user experience, apps, networks and cloud vendors themselves is a daunting challenge,” said Mike Sargent, SVP, GM for SteelCentral at Riverbed. “This latest release of Riverbed SteelCentral delivers rich visibility into both the application and network performance of hybrid and cloud environments, as well as the most comprehensive approach to truly measure and manage the digital experience. With our end user experience focus and supporting big data platform, Riverbed SteelCentral is delivering end-to-end performance monitoring at a scale unmatched by any other vendor.”
“Public cloud continues to make inroads, with our research showing that 41% of enterprises are heavily using public cloud and 72% of those users are deploying in multi-cloud environments.[1] So, it is of no surprise that 60% of organizations anticipate that they will invest in cloud services monitoring and visibility over the next two years,” Rohit Mehra, VP, Network Infrastructure, at IDC. “The latest release of Riverbed SteelCentral offers companies a new and comprehensive approach for visibility into the application and network performance of hybrid and cloud environments. This is timely as we are seeing a rapid increase in the need for solutions that provide better cloud app performance and visibility.”
The new SteelCentral release features significant enhancements to its core solutions:
- Packet visibility in the cloud – the new release of a AppResponse Cloud solution collects and analyzes packet information for Amazon Web Services (AWS) deployments.
- Flow visibility in the cloud – SteelCentral NetProfiler’s capabilities extended to monitor flow across cloud environments and between the cloud and the enterprise.
- App visibility for today’s cloud native apps – introduction of AppInternals integrations with Kubernetes, Pivotal Cloud Foundry and Red Hat OpenShift to help companies maintain visibility as applications are developed and implemented in the cloud, and manage the complexity of the modern multi-stack app ecosystem.
SteelCentral APM takes a scalable big data approach that is fully adapted to the cloud native ecosystem. With this new release, AppInternals, SteelCentral’s APM solution, significantly enhances its support for modern cloud-based application architectures with full visibility into transactions, containers, and services running within Kubernetes, Pivotal Cloud Foundry and Red Hat OpenShift. SteelCentral APM helps companies running applications in Docker containers and Pivotal Cloud Foundry, to reduce performance issues and drive better user adoption.
Moreover, with Riverbed’s partnership and integration into the Pivotal stack, application teams can easily and painlessly deploy Riverbed's distributed application tracing into Pivotal’s cloud-native platform to ensure application performance, customer satisfaction and retention while driving more stable application releases.
“Over one-third of the Fortune 100 companies rely on Pivotal. Monitoring application performance accurately is the foundation of delivering high-quality software,” said Nima Badiey, Head of Technology Partnerships at Pivotal. “Riverbed SteelCentral AppInternals for PCF delivers end-to-end insight into applications running on Pivotal Cloud Foundry. It preserves diagnostic details for executed transactions, even in large-scale enterprise deployments, helping users resolve issues before they affect customers and the business.”
This release introduces the first cloud NPM solution that can both look broadly across cloud network traffic and deeply examine cloud network interactions. Utilizing both flow and packet-based approaches to network performance management (NPM), companies can build on existing on-premises expertise but now extend it to cloud environments.
New NPM features include:
- The ability to implement the SteelCentral AppResponse virtual appliance as an Amazon EC2 instance in a Virtual Private Cloud (VPC).
- New reporting capabilities that enable companies to investigate cloud network performance in conjunction with on-premise network performance to provide an overarching view of the hybrid enterprise.
- The extension of SteelCentral Agent to collect both packet and flow information in the cloud. This agent builds upon Riverbed’s single license strategy which enables companies to redeploy the agent across NPM, APM and end user experience management (EUEM).
The Latest
A new study by the IBM Institute for Business Value reveals that enterprises are expected to significantly scale AI-enabled workflows, many driven by agentic AI, relying on them for improved decision making and automation. The AI Projects to Profits study revealed that respondents expect AI-enabled workflows to grow from 3% today to 25% by the end of 2025. With 70% of surveyed executives indicating that agentic AI is important to their organization's future, the research suggests that many organizations are actively encouraging experimentation ...
Respondents predict that agentic AI will play an increasingly prominent role in their interactions with technology vendors over the coming years and are positive about the benefits it will bring, according to The Race to an Agentic Future: How Agentic AI Will Transform Customer Experience, a report from Cisco ...
A new wave of tariffs, some exceeding 100%, is sending shockwaves across the technology industry. Enterprises are grappling with sudden, dramatic cost increases that threaten to disrupt carefully planned budgets, sourcing strategies, and deployment plans. For CIOs and CTOs, this isn't just an economic setback; it's a wake-up call. The era of predictable cloud pricing and stable global supply chains is over ...
As artificial intelligence (AI) adoption gains momentum, network readiness is emerging as a critical success factor. AI workloads generate unpredictable bursts of traffic, demanding high-speed connectivity that is low latency and lossless. AI adoption will require upgrades and optimizations in data center networks and wide-area networks (WANs). This is prompting enterprise IT teams to rethink, re-architect, and upgrade their data center and WANs to support AI-driven operations ...
Artificial intelligence (AI) is core to observability practices, with some 41% of respondents reporting AI adoption as a core driver of observability, according to the State of Observability for Financial Services and Insurance report from New Relic ...
Application performance monitoring (APM) is a game of catching up — building dashboards, setting thresholds, tuning alerts, and manually correlating metrics to root causes. In the early days, this straightforward model worked as applications were simpler, stacks more predictable, and telemetry was manageable. Today, the landscape has shifted, and more assertive tools are needed ...
Cloud adoption has accelerated, but backup strategies haven't always kept pace. Many organizations continue to rely on backup strategies that were either lifted directly from on-prem environments or use cloud-native tools in limited, DR-focused ways ... Eon uncovered a handful of critical gaps regarding how organizations approach cloud backup. To capture these prevailing winds, we gathered insights from 150+ IT and cloud leaders at the recent Google Cloud Next conference, which we've compiled into the 2025 State of Cloud Data Backup ...
Private clouds are no longer playing catch-up, and public clouds are no longer the default as organizations recalibrate their cloud strategies, according to the Private Cloud Outlook 2025 report from Broadcom. More than half (53%) of survey respondents say private cloud is their top priority for deploying new workloads over the next three years, while 69% are considering workload repatriation from public to private cloud, with one-third having already done so ...
As organizations chase productivity gains from generative AI, teams are overwhelmingly focused on improving delivery speed (45%) over enhancing software quality (13%), according to the Quality Transformation Report from Tricentis ...
Back in March of this year ... MongoDB's stock price took a serious tumble ... In my opinion, it reflects a deeper structural issue in enterprise software economics altogether — vendor lock-in ...