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ThousandEyes Releases Free Version of Network Performance Management Product

ThousandEyes announced the launch of ThousandEyes Lite, a free version of their Network Performance Management (NPM) product.

ThousandEyes Lite brings the powerful visibility of application delivery performance to individuals and small teams and includes data for eighteen of the most popular SaaS applications. Today's announcement enables anyone to use ThousandEyes for free and includes a 15-day trial of the full Pro version of ThousandEyes. ThousandEyes Lite will enable individuals and small teams to gain detailed visibility of network performance both within the enterprise network and between their enterprise and cloud service providers.

"We've seen terrific traction from organizations of all sizes turning to ThousandEyes to gain visibility of end-to-end application and service delivery," said Mohit Lad, ThousandEyes CEO and Co-Founder. "From the beginning, our ambition has been to improve the network monitoring experience for everyone from individuals to large-scale teams. Providing a free version of ThousandEyes enables us to deliver on that objective."

ThousandEyes Lite includes full visibility of internal and cloud-based application delivery from up to three locations anywhere within an organizations network environment. Also included are data feeds for eighteen of the most popular SaaS applications and web services, such as NetSuite, Microsoft Office 365, Salesforce, Workday, Facebook, Twitter and more. In addition, the expansion of vantage points from ThousandEyes Lite users will improve predictive analytics and diagnostic capabilities for all ThousandEyes users.

"ThousandEyes has been a pioneer creating valuable new network and application performance tools to support the use of today's, network-accessed applications," said Peter Christy, Research Director, Networking at 451 Research. "The ThousandEyes free version enables a much bigger potential market to understand the kind of value ThousandEyes can provide in the best way possible — by using it."

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ThousandEyes Releases Free Version of Network Performance Management Product

ThousandEyes announced the launch of ThousandEyes Lite, a free version of their Network Performance Management (NPM) product.

ThousandEyes Lite brings the powerful visibility of application delivery performance to individuals and small teams and includes data for eighteen of the most popular SaaS applications. Today's announcement enables anyone to use ThousandEyes for free and includes a 15-day trial of the full Pro version of ThousandEyes. ThousandEyes Lite will enable individuals and small teams to gain detailed visibility of network performance both within the enterprise network and between their enterprise and cloud service providers.

"We've seen terrific traction from organizations of all sizes turning to ThousandEyes to gain visibility of end-to-end application and service delivery," said Mohit Lad, ThousandEyes CEO and Co-Founder. "From the beginning, our ambition has been to improve the network monitoring experience for everyone from individuals to large-scale teams. Providing a free version of ThousandEyes enables us to deliver on that objective."

ThousandEyes Lite includes full visibility of internal and cloud-based application delivery from up to three locations anywhere within an organizations network environment. Also included are data feeds for eighteen of the most popular SaaS applications and web services, such as NetSuite, Microsoft Office 365, Salesforce, Workday, Facebook, Twitter and more. In addition, the expansion of vantage points from ThousandEyes Lite users will improve predictive analytics and diagnostic capabilities for all ThousandEyes users.

"ThousandEyes has been a pioneer creating valuable new network and application performance tools to support the use of today's, network-accessed applications," said Peter Christy, Research Director, Networking at 451 Research. "The ThousandEyes free version enables a much bigger potential market to understand the kind of value ThousandEyes can provide in the best way possible — by using it."

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Many organizations rely on cloud-first architectures to aggregate, analyze, and act on their operational data ... However, not all environments are conducive to cloud-first architectures ... There are limitations to cloud-first architectures that render them ineffective in mission-critical situations where responsiveness, cost control, and data sovereignty are non-negotiable; these limitations include ...

For years, cybersecurity was built around a simple assumption: protect the physical network and trust everything inside it. That model made sense when employees worked in offices, applications lived in data centers, and devices rarely left the building. Today's reality is fluid: people work from everywhere, applications run across multiple clouds, and AI-driven agents are beginning to act on behalf of users. But while the old perimeter dissolved, a new one quietly emerged ...

For years, infrastructure teams have treated compute as a relatively stable input. Capacity was provisioned, costs were forecasted, and performance expectations were set based on the assumption that identical resources behaved identically. That mental model is starting to break down. AI infrastructure is no longer behaving like static cloud capacity. It is increasingly behaving like a market ...

Resilience can no longer be defined by how quickly an organization recovers from an incident or disruption. The effectiveness of any resilience strategy is dependent on its ability to anticipate change, operate under continuous stress, and adapt confidently amid uncertainty ...

Mobile users are less tolerant of app instability than ever before. According to a new report from Luciq, No Margin for Error: What Mobile Users Expect and What Mobile Leaders Must Deliver in 2026, even minor performance issues now result in immediate abandonment, lost purchases, and long-term brand impact ...

Artificial intelligence (AI) has become the dominant force shaping enterprise data strategies. Boards expect progress. Executives expect returns. And data leaders are under pressure to prove that their organizations are "AI-ready" ...

Agentic AI is a major buzzword for 2026. Many tech companies are making bold promises about this technology, but many aren't grounded in reality, at least not yet. This coming year will likely be shaped by reality checks for IT teams, and progress will only come from a focus on strong foundations and disciplined execution ...

AI systems are still prone to hallucinations and misjudgments ... To build the trust needed for adoption, AI must be paired with human-in-the-loop (HITL) oversight, or checkpoints where humans verify, guide, and decide what actions are taken. The balance between autonomy and accountability is what will allow AI to deliver on its promise without sacrificing human trust ...

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