JDSU has entered into a definitive agreement to acquire Network Instruments.
The acquisition of Network Instruments further strengthens JDSU as a key solutions provider to the enterprise, data center and cloud networking markets. It expands the addressable market for JDSU's Network and Service Enablement business segment by more than $1 billion in markets growing at nearly 13 percent, including the application-aware network performance management and network packet broker markets.
Network Instruments will also add a talented employee base to JDSU that includes research and development, sales, marketing and production teams with decades of experience and proven success in the enterprise market.
JDSU and Network Instruments offer complementary product portfolios. As enterprise and carrier network performance management requirements converge, driven by an ever-increasing number of connected mobile devices and the need for improved visibility into application performance, JDSU and Network Instruments are qualified to create new and differentiated solutions for both markets.
“The acquisition of Network Instruments by JDSU will provide our customers with considerable benefits,” said Douglas Smith, president, CEO and co-founder of Network Instruments. “JDSU’s commitment to product innovation and its leadership position with service providers will provide Network Instruments with a strong entry into the carrier market for performance management solutions. In turn, our robust product line and strong relationships with our enterprise channel partners will benefit JDSU as we bring our products under the JDSU brand.”
“Network Instruments has outstanding new products and an excellent reputation across the enterprise market with nearly twenty years of experience and strong customer relationships,” said David Heard, president of the Network and Service Enablement business segment at JDSU. “We’re excited to add their talented team and winning solutions to JDSU and look forward to leveraging their expertise to further improve network performance for both our telecom and enterprise customers.”
The acquisition of Network Instruments will expand JDSU’s Network and Service Enablement product portfolio with several enterprise products, including:
- Observer Monitoring Platform – Integrated performance monitoring that provides unique visibility into complex application and network operations. The Observer Platform provides deep-dive analytics and problem resolution for mission-critical applications and projects such as VoIP, cloud deployments, data center initiatives and virtualization placements.
- GigaStor Retrospective Analysis Appliance – Precision-driven data collection solution that provides time-based and retrospective network analysis to support detailed application analytics for data-intensive applications.
- Matrix Network Monitoring Switch – Launched in September, the Matrix provides an advanced, next-generation and cost-effective solution for network traffic monitoring for the Network Packet Broker market. The Matrix provides rapid set-up and administration, centralized traffic policy management and the scalability for administrators to add more ports as their networks grow.
JDSU plans to acquire Network Instruments for $200 million in cash, subject to certain adjustments. The companies expect to close the transaction, subject to customary regulatory approvals, within approximately 45 days.
The Latest
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 ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.
The quietest week your engineering team has ever had might also be its best. No alarms going off. No escalations. No frantic Teams or Slack threads at 2 a.m. Everything humming along exactly as it should. And somewhere in a leadership meeting, someone looks at the metrics dashboard, sees a flat line of incidents and says: "Seems like things are pretty calm over there. Do we really need all those people?" ... I've spent many years in engineering, and this pattern keeps repeating ...