
Gartner has once again positioned Riverbed as a Leader in its 2018 “Magic Quadrant for Network Performance Monitoring and Diagnostics,” marking Riverbed's fifth consecutive year in a Leader position.
In addition, Riverbed maintains its position as a Challenger in Gartner's 2018 "Magic Quadrant for Application Performance Monitoring Suites."
“Riverbed is proud to be named a Leader in the Gartner Magic Quadrant for Network Performance Monitoring and Diagnostics for the fifth consecutive year and a Challenger again in the Magic Quadrant for Application Performance Monitoring Suites,” said Mike Sargent, SVP and GM of Riverbed’s SteelCentral business unit. “We believe Riverbed maintained these positions due to our continued innovation, and the integration of a rich set of capabilities that make our NPMD and APM solutions truly unique in the marketplace. From our point of view, only Riverbed SteelCentral offers companies the comprehensive and deep visibility required to manage the digital experience on an end-to-end basis, from the end user’s device, across networks, infrastructure, and into the code to assure a great user experience with business-critical applications.”
Over the past year, Riverbed reengineered its NPMD solution and launched its new packet-based AppResponse 11 solution. The Company also delivered significant performance improvements to its flow-based analytics, and integrated EUE (end user experience) Monitoring from SteelCentral Aternity into network troubleshooting workflows, providing a more complete view of the digital user experience. Finally, Riverbed integrated SteelCentral NPMD more fully with Riverbed’s SD-WAN solution SteelConnect – a SD-WAN solution that provides unified connectivity and policy-based orchestration spanning the entire distributed network – hybrid WAN, branch LAN/WLAN, data centers, and the cloud. These coupled with strong go-to-market execution contributed to SteelCentral’s continued leadership position.
Additionally, over the past year, Riverbed SteelCentral continued to deliver innovative functionality to address the increasing challenges faced by companies in monitoring application performance. Riverbed added rich end user experience visibility through integrated endpoint monitoring, coupled with tight integration with application aware network monitoring – both of which deliver significant differentiation versus its competitors. Riverbed SteelCentral also delivers its sophisticated functionality in both SaaS and on-premises delivery modes with a common user interface. Companies found that use cases requiring access to granular transaction trace data, as opposed to sampled or averaged data, were served well by Riverbed’s fine-grained data support in monitoring business critical applications.
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 ...