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ThousandEyes Expands Global Multi-Cloud Monitoring Coverage, Adds Support for Alibaba Cloud

ThousandEyes announced a significant expansion of its cloud monitoring coverage, including the addition of new global Alibaba Cloud monitoring capabilities.

This increased coverage builds on ThousandEyes' fleet of Cloud Agents providing global monitoring vantage points from major cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure as well as global data centers and major ISPs, giving enterprises visibility and the ability to measure application and network-layer performance metrics for any website, application or service.

"Global organizations today run on the Internet, connecting applications and services to end-users everywhere, and making deep Internet visibility non-negotiable, which is especially relevant for companies operating in Asia-Pacific where heavy sovereign controls impact Internet performance and digital experience," said ThousandEyes VP of Product Joe Vaccaro. "ThousandEyes already provides unparalleled visibility into how AWS, GCP and Azure impacts digital experience delivery, and by adding the ability to monitor Alibaba Cloud performance to the mix, global enterprises operating in Asia-Pacific and beyond are empowered with the visibility and control they need to improve customer experiences and business performance."

The worldwide infrastructure as a service (IaaS) public cloud services market grew 31.8% in the past year, according to Gartner research. Gartner's data indicates that Alibaba Cloud is the dominant IaaS provider in China, and it experienced the strongest growth among the leading vendors, growing 92.6% in 2018 1. Notably, according to the 2018 ThousandEyes Public Cloud Performance Benchmark Report, the Asia-Pacific region showed some of the highest performance variability across all of the major IaaS providers, demonstrating the need for in-region vantage points within and across all major public cloud providers. Traditional monitoring tools and cloud-native point solutions both lack the ability to see beyond internal enterprise networks, or outside of their own networks, respectively, meaning companies that rely on either or both are leaving the broader Internet unmonitored, jeopardizing existing investments and are at increased risk of delivering poor digital experiences.

ThousandEyes added 19 Alibaba Cloud regions worldwide, plus 13 new Cloud Agent locations across Asia-Pacific, including four new locations in India, bringing ThousandEyes Asia-Pacific vantage points to a total of 53 cities and global vantage points to a total of more than 180 cities. This latest expansion adds to ThousandEyes' existing Cloud Agent locations in IaaS providers, which currently includes 15 AWS regions, 15 GCP regions and 25 Azure regions. Now, IT teams can leverage pre-provisioned and easy-to-deploy vantage points in IaaS to measure inter-region, hybrid and inter-cloud performance, map network paths and monitor connectivity between a combination of on-premises and cloud data centers. Companies are also enabled to adopt a data-driven approach when planning multi-cloud deployments, as well as provide immediate visibility into application delivery, network behavior and inter-service dependencies, and their impact on digital experience.

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ThousandEyes Expands Global Multi-Cloud Monitoring Coverage, Adds Support for Alibaba Cloud

ThousandEyes announced a significant expansion of its cloud monitoring coverage, including the addition of new global Alibaba Cloud monitoring capabilities.

This increased coverage builds on ThousandEyes' fleet of Cloud Agents providing global monitoring vantage points from major cloud providers such as Amazon Web Services (AWS), Google Cloud Platform (GCP), and Microsoft Azure as well as global data centers and major ISPs, giving enterprises visibility and the ability to measure application and network-layer performance metrics for any website, application or service.

"Global organizations today run on the Internet, connecting applications and services to end-users everywhere, and making deep Internet visibility non-negotiable, which is especially relevant for companies operating in Asia-Pacific where heavy sovereign controls impact Internet performance and digital experience," said ThousandEyes VP of Product Joe Vaccaro. "ThousandEyes already provides unparalleled visibility into how AWS, GCP and Azure impacts digital experience delivery, and by adding the ability to monitor Alibaba Cloud performance to the mix, global enterprises operating in Asia-Pacific and beyond are empowered with the visibility and control they need to improve customer experiences and business performance."

The worldwide infrastructure as a service (IaaS) public cloud services market grew 31.8% in the past year, according to Gartner research. Gartner's data indicates that Alibaba Cloud is the dominant IaaS provider in China, and it experienced the strongest growth among the leading vendors, growing 92.6% in 2018 1. Notably, according to the 2018 ThousandEyes Public Cloud Performance Benchmark Report, the Asia-Pacific region showed some of the highest performance variability across all of the major IaaS providers, demonstrating the need for in-region vantage points within and across all major public cloud providers. Traditional monitoring tools and cloud-native point solutions both lack the ability to see beyond internal enterprise networks, or outside of their own networks, respectively, meaning companies that rely on either or both are leaving the broader Internet unmonitored, jeopardizing existing investments and are at increased risk of delivering poor digital experiences.

ThousandEyes added 19 Alibaba Cloud regions worldwide, plus 13 new Cloud Agent locations across Asia-Pacific, including four new locations in India, bringing ThousandEyes Asia-Pacific vantage points to a total of 53 cities and global vantage points to a total of more than 180 cities. This latest expansion adds to ThousandEyes' existing Cloud Agent locations in IaaS providers, which currently includes 15 AWS regions, 15 GCP regions and 25 Azure regions. Now, IT teams can leverage pre-provisioned and easy-to-deploy vantage points in IaaS to measure inter-region, hybrid and inter-cloud performance, map network paths and monitor connectivity between a combination of on-premises and cloud data centers. Companies are also enabled to adopt a data-driven approach when planning multi-cloud deployments, as well as provide immediate visibility into application delivery, network behavior and inter-service dependencies, and their impact on digital experience.

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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 ...

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 ...

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