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ThousandEyes Launches Australia Operation

ThousandEyes announced expansion into Australia and New Zealand with the opening of a sales and services operation in Sydney.

The company marked this news with the launch of the ThousandEyes Public Cloud Performance Benchmark Report for Australia, the region's first industry report to compare global network performance of the three major public cloud providers — Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure. ThousandEyes is entering the ANZ market with a strong existing customer base and in-region demand and this expansion marks the next phase of ThousandEyes' worldwide growth.

Will Barrera has been appointed to serve as Regional Sales Manager for ANZ, based in Sydney. As part of the Western United States and ANZ team led by ThousandEyes VP Pravesh Mistry, Barrera's extensive industry experience will be instrumental in building and expanding the company's sales presence throughout Australia and New Zealand.

"We are seeing a rapid increase in demand for our Internet and digital experience visibility solution as the region's businesses are increasingly relying on the cloud and Internet as the key delivery mechanism for their customer and employee digital experiences, yet they lack the ability to see the end-to-end digital experience service delivery path," said Barrera. "We are excited to build out a key hub for ThousandEyes in Sydney, provide our customers with instant visibility into the cloud and Internet, and do our part to help accelerate overall cloud adoption in the region."

ThousandEyes Public Cloud Benchmark Report Revealed Leveraging the ThousandEyes platform and its global monitoring agents that are pre-deployed across global locations within AWS, GCP and Azure environments and the Internet, the new Public Cloud Performance Benchmark Report for Australia helps IT leaders understand key performance differences between the 'big three' public cloud providers. For the analysis, ThousandEyes collected data on network latency, loss, jitter, and network path.

The report measured user-to-cloud connectivity from 27 user locations deployed in data centers around the globe to 55 cloud regions — including Sydney and Melbourne — across all three public cloud providers. When measuring bi-directional performance between Sydney and global locations, ThousandEyes found significant architectural differences between providers, which ultimately impact the service delivery and overall performance of each provider. Most intriguing, the report found that Azure and GCP use their own private backbone networks, whereas AWS does not, instead sending traffic over the Internet for the majority of the service delivery path. Increased exposure to the Internet means there is greater operational risk and impact on performance predictability.

"Multi-national organizations that are embracing digital transformation and venturing into the cloud need to be aware of the geographical performance differences between the major public clouds," said Archana Kesavan, report author and product marketing director at ThousandEyes. "For the first time, Australian cloud customers have the data to show the architecture and connectivity differences between the big three public cloud providers to reliably predict application performance when making global multi-cloud decisions."

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ThousandEyes Launches Australia Operation

ThousandEyes announced expansion into Australia and New Zealand with the opening of a sales and services operation in Sydney.

The company marked this news with the launch of the ThousandEyes Public Cloud Performance Benchmark Report for Australia, the region's first industry report to compare global network performance of the three major public cloud providers — Amazon Web Services (AWS), Google Cloud Platform (GCP) and Microsoft Azure. ThousandEyes is entering the ANZ market with a strong existing customer base and in-region demand and this expansion marks the next phase of ThousandEyes' worldwide growth.

Will Barrera has been appointed to serve as Regional Sales Manager for ANZ, based in Sydney. As part of the Western United States and ANZ team led by ThousandEyes VP Pravesh Mistry, Barrera's extensive industry experience will be instrumental in building and expanding the company's sales presence throughout Australia and New Zealand.

"We are seeing a rapid increase in demand for our Internet and digital experience visibility solution as the region's businesses are increasingly relying on the cloud and Internet as the key delivery mechanism for their customer and employee digital experiences, yet they lack the ability to see the end-to-end digital experience service delivery path," said Barrera. "We are excited to build out a key hub for ThousandEyes in Sydney, provide our customers with instant visibility into the cloud and Internet, and do our part to help accelerate overall cloud adoption in the region."

ThousandEyes Public Cloud Benchmark Report Revealed Leveraging the ThousandEyes platform and its global monitoring agents that are pre-deployed across global locations within AWS, GCP and Azure environments and the Internet, the new Public Cloud Performance Benchmark Report for Australia helps IT leaders understand key performance differences between the 'big three' public cloud providers. For the analysis, ThousandEyes collected data on network latency, loss, jitter, and network path.

The report measured user-to-cloud connectivity from 27 user locations deployed in data centers around the globe to 55 cloud regions — including Sydney and Melbourne — across all three public cloud providers. When measuring bi-directional performance between Sydney and global locations, ThousandEyes found significant architectural differences between providers, which ultimately impact the service delivery and overall performance of each provider. Most intriguing, the report found that Azure and GCP use their own private backbone networks, whereas AWS does not, instead sending traffic over the Internet for the majority of the service delivery path. Increased exposure to the Internet means there is greater operational risk and impact on performance predictability.

"Multi-national organizations that are embracing digital transformation and venturing into the cloud need to be aware of the geographical performance differences between the major public clouds," said Archana Kesavan, report author and product marketing director at ThousandEyes. "For the first time, Australian cloud customers have the data to show the architecture and connectivity differences between the big three public cloud providers to reliably predict application performance when making global multi-cloud decisions."

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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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