Riverbed added more critical cloud visibility and reporting capabilities to its Riverbed Network Performance Management (NPM) portfolio – including support of Azure NSG and AWS VPC flow logs.
Key updates to the Riverbed Network Performance Management (NPM) portfolio deliver greater cloud visibility that is crucial to monitoring productivity and performance, as organizations continue to shift toward hybrid and multi-cloud network environments.
As part of Riverbed’s Unified NPM solution, Riverbed NetProfiler enables organizations to achieve full-fidelity network flow monitoring to proactively identify and quickly troubleshoot performance and security issues. The new features introduced today improve cloud visibility by supporting native Azure NSG flow logs and augment support for AWS VPC flow logs. Riverbed automates reporting capabilities for AWS VPC flow logs to enrich information sharing. Riverbed is also introducing a modernized user interface (UI) with a new home screen and simplified search functionality, making NetProfiler easier to use and helps NetOps and SecOps users to more quickly resolve network issues.
“Today’s release of Riverbed NetProfiler is critical to NetOps and SecOps and is focused on gaining more in-depth traffic insights from Azure and AWS flow logs to proactively identify and quickly remediate performance and security issues while gaining cost and latency efficiencies. It also relieves the loss of visibility in migrating applications to Azure or AWS Cloud,” said David Winikoff, VP, Product Management at Riverbed. “Additionally, the new home page and search features make it easier for helpdesk and support users to solve problems, while still serving Riverbed’s traditional power users. Riverbed is delivering end-to-end visibility—across users, networks and applications—enabling organizations to modernize and secure their networks, accelerate cloud and SaaS migrations, improve business productivity and advance hybrid and work-from-anywhere environments.”
Other new features include:
- Support for Azure NSG Flow Logs: The new Riverbed NetProfiler supports the ingestion of Azure NSG flow logs, the native mechanism of flow generation offered by the Azure platform. Using this Azure flow data, Riverbed NetProfiler provides two specific Azure cloud reports: Azure NSG Flow Information and Azure Billable Data Transfer. The Azure NSG Flow Information report shows applications, hosts, and conversations by VNETs, Regions, and Availability Zones. Most importantly, it can map application relationships across the network for any service, addressing that top concern. NetProfiler’s extensive traffic reporting can also be used to study and provide reports on Azure NSG flow log AWS VPC flow logs data. The Azure Billing Data Transfer report helps organizations understand where cloud costs are occurring to make better plans and decisions to help minimize them. This report provides visibility into traffic volumes by Azure pricing policies to help organizations gain pricing and latency efficiencies.
- AWS VPC Flow Log support updates: The previous release of Riverbed NPM supported AWS VPC Flow Log support, but it required organizations to manually configure and maintain AWS hostgroups to run the AWS visibility reports. With recent improvements made by AWS to AWS VPC Flow Logs, Riverbed NetProfiler now utilizes those improvements and automates hostgroups for a simpler and less error-prone process. Riverbed NetProfiler polls the AWS Management Console for the metadata and populates the corresponding AWS hostgroup definitions.
- Updated Home Page UI and Search: Riverbed NetProfiler introduced new features that modernizes the UI with a new home page that provides greater insight and simplified search functionality. The new home screen helps new or infrequent users quickly understand how the network and applications are performing, what issues need attention, and how issues are trending. Organizations can easily search or contextually drill deeper into the data. The at-a-glance performance summaries can be customized on a per-user basis. The updated version allows organizations to toggle between last hour, last day or last week timeframes, and this insight loads quickly ensuring fast responsiveness to performance queries.
- Improved security: Riverbed NetProfiler now supports the Transport Layer Security (TLS) Protocol 1.3 for its services, including syslogs. Out of the box, new systems are now installed with a minimum of TLS 1.2 and 2048-bit cipher certificates. TLS allows client/server applications to communicate over the Internet in a way that is designed to prevent eavesdropping, tampering and message forgery.
The Latest
In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...