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Accedian Acquires Performance Vision

Accedian announced its acquisition of Performance Vision, a provider of network and application performance management (NPM/APM).

The acquisition is a complement to Accedian’s performance assurance portfolio. Performance Vision’s technology brings advanced end-user digital experience monitoring capabilities to Accedian’s existing customer base, while expanding its addressable market to key enterprise segments including banking, insurance, healthcare, manufacturing, and cloud services. Financial terms of the deal were not disclosed.

Commenting on the acquisition, Accedian CEO Patrick Ostiguy said, “The combination of Performance Vision and Accedian creates a proposition that is truly unique. There is no other company that is able to offer this level of accuracy and granularity into how the performance of the network and the applications running over it impact the end-user digital experience, in real-time, for enterprises of all sizes.”

The combined Accedian / Performance Vision platform is completely virtual. It unifies capabilities that are normally distributed in a variety of different products and solutions, reducing complexity and total cost of ownership (TCO). Bringing network awareness to application monitoring—and vice versa—means digital assets can be optimized to deliver the best possible business outcome.

“As virtualization and hybrid cloud applications continue to be deployed at an accelerated pace, the interdependence of network and application performance increases significantly,” said Sergio Bea, VP of Global Enterprise and Channels at Accedian. “The ability to see the entire digital infrastructure uniformly—from end-user to multiple data centers, clouds, and SaaS applications—fills a visibility gap that otherwise threatens digital transformation projects’ success, speed, return on investment (ROI), and business value.”

“Our new relationship with Accedian adds valuable scale and reach, allowing us to deliver our solutions to a wider range of customers and organizations than was previously possible,” said Gilles Huguenin, CEO of Performance Vision. “By combining our resources and expertise, we can accelerate innovation and deliver unified solutions that help our customers obtain maximum value and performance from their network and applications—and by extension help their business perform better.”

Accedian’s acquisition of Performance Vision is an expression of intent for the company as it looks to grow its revenue and expand into new markets and business segments in 2018. As part of this wider strategy, and to support the company’s expansion into the enterprise space, Accedian last month made two new executive appointments: Sergio Bea joined the company as VP of Global Enterprise and Channels, while Richard Piasentin took the role of CMO and Chief Strategy Officer.

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Accedian Acquires Performance Vision

Accedian announced its acquisition of Performance Vision, a provider of network and application performance management (NPM/APM).

The acquisition is a complement to Accedian’s performance assurance portfolio. Performance Vision’s technology brings advanced end-user digital experience monitoring capabilities to Accedian’s existing customer base, while expanding its addressable market to key enterprise segments including banking, insurance, healthcare, manufacturing, and cloud services. Financial terms of the deal were not disclosed.

Commenting on the acquisition, Accedian CEO Patrick Ostiguy said, “The combination of Performance Vision and Accedian creates a proposition that is truly unique. There is no other company that is able to offer this level of accuracy and granularity into how the performance of the network and the applications running over it impact the end-user digital experience, in real-time, for enterprises of all sizes.”

The combined Accedian / Performance Vision platform is completely virtual. It unifies capabilities that are normally distributed in a variety of different products and solutions, reducing complexity and total cost of ownership (TCO). Bringing network awareness to application monitoring—and vice versa—means digital assets can be optimized to deliver the best possible business outcome.

“As virtualization and hybrid cloud applications continue to be deployed at an accelerated pace, the interdependence of network and application performance increases significantly,” said Sergio Bea, VP of Global Enterprise and Channels at Accedian. “The ability to see the entire digital infrastructure uniformly—from end-user to multiple data centers, clouds, and SaaS applications—fills a visibility gap that otherwise threatens digital transformation projects’ success, speed, return on investment (ROI), and business value.”

“Our new relationship with Accedian adds valuable scale and reach, allowing us to deliver our solutions to a wider range of customers and organizations than was previously possible,” said Gilles Huguenin, CEO of Performance Vision. “By combining our resources and expertise, we can accelerate innovation and deliver unified solutions that help our customers obtain maximum value and performance from their network and applications—and by extension help their business perform better.”

Accedian’s acquisition of Performance Vision is an expression of intent for the company as it looks to grow its revenue and expand into new markets and business segments in 2018. As part of this wider strategy, and to support the company’s expansion into the enterprise space, Accedian last month made two new executive appointments: Sergio Bea joined the company as VP of Global Enterprise and Channels, while Richard Piasentin took the role of CMO and Chief Strategy Officer.

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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 ...

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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 ...

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