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Solarwinds Opens New Data Center in Europe

SolarWinds expanded the global reach of its full-stack, software as a service (SaaS) SolarWinds Observability solution with the opening of a new data center in Europe.

Located in Germany, the data center will allow more Amazon Web Services (AWS) customers to access SolarWinds Observability so they can manage highly complex hybrid and multi-cloud IT environments.

The recently launched SolarWinds Observability solution was designed to allow customers to accelerate their digital transformation initiatives by providing single-pane-of-glass visibility into modern and distributed digital services. The unified SaaS offering features powerful machine learning and AIOps capabilities designed to ensure the availability and performance of a business’s networks, applications, and infrastructures. In addition, the solution’s expedited anomaly detection, identification, and resolution help ensure service-level and user experience satisfaction objectives are consistently met.

SolarWinds offers flexible licensing options for its observability solution, which is now also available in AWS Marketplace. The unified SaaS offering also supports Amazon CloudWatch, making it easier than ever for businesses to seamlessly implement the company’s cloud-native offering into their stack. SolarWinds is also announcing today it has been accepted in the AWS Independent Software Vendor (ISV) Accelerate Program, a co-sell program for organizations that provide software solutions built to run on or integrate with AWS. The AWS ISV Accelerate Program will provide SolarWinds with support and benefits to help more customers effectively implement and utilize observability.

“Enterprises today need robust and secure solutions designed to provide the flexibility to scale rapidly and seamlessly no matter where they are on their digital transformation and cloud adoption journey or how complex their IT environment is,” said SolarWinds Chief Product Officer Rohini Kasturi. “SolarWinds Observability was built from the ground up to deliver increased visibility, intelligence, efficiency and the fastest possible return on investment (ROI). With the launch of this new data center, availability in AWS Marketplace, and our new AWS ISV Accelerate program membership, we’re positioned better than ever to provide more customers around the world our industry-leading observability solution on-premises or in the cloud—wherever the customer is on their journey.”

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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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Solarwinds Opens New Data Center in Europe

SolarWinds expanded the global reach of its full-stack, software as a service (SaaS) SolarWinds Observability solution with the opening of a new data center in Europe.

Located in Germany, the data center will allow more Amazon Web Services (AWS) customers to access SolarWinds Observability so they can manage highly complex hybrid and multi-cloud IT environments.

The recently launched SolarWinds Observability solution was designed to allow customers to accelerate their digital transformation initiatives by providing single-pane-of-glass visibility into modern and distributed digital services. The unified SaaS offering features powerful machine learning and AIOps capabilities designed to ensure the availability and performance of a business’s networks, applications, and infrastructures. In addition, the solution’s expedited anomaly detection, identification, and resolution help ensure service-level and user experience satisfaction objectives are consistently met.

SolarWinds offers flexible licensing options for its observability solution, which is now also available in AWS Marketplace. The unified SaaS offering also supports Amazon CloudWatch, making it easier than ever for businesses to seamlessly implement the company’s cloud-native offering into their stack. SolarWinds is also announcing today it has been accepted in the AWS Independent Software Vendor (ISV) Accelerate Program, a co-sell program for organizations that provide software solutions built to run on or integrate with AWS. The AWS ISV Accelerate Program will provide SolarWinds with support and benefits to help more customers effectively implement and utilize observability.

“Enterprises today need robust and secure solutions designed to provide the flexibility to scale rapidly and seamlessly no matter where they are on their digital transformation and cloud adoption journey or how complex their IT environment is,” said SolarWinds Chief Product Officer Rohini Kasturi. “SolarWinds Observability was built from the ground up to deliver increased visibility, intelligence, efficiency and the fastest possible return on investment (ROI). With the launch of this new data center, availability in AWS Marketplace, and our new AWS ISV Accelerate program membership, we’re positioned better than ever to provide more customers around the world our industry-leading observability solution on-premises or in the cloud—wherever the customer is on their journey.”

The Latest

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 ...

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.