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Sumo Logic Expands Global Footprint

Sumo Logic announced its expansion of the Sumo Logic business in Europe, the Middle East and Africa (EMEA) and Asia-Pacific (APAC) to meet growing international demand for cloud-native machine data analytics.

Specifically, the company accelerated its global investment in three key areas, including expanding its international sales team and two regional research and development (R&D) centers, deepening its partner ecosystem, and launching an Amazon Web Services (AWS) instance in Frankfurt, Germany to provide the infrastructure that gives customers a holistic view of global data.

Sumo Logic is expanding its global footprint in three key investment areas:

- International Teams and R&D Centers: Sumo Logic doubled its international headcount over the past year with teams in Europe, Australia, Asia and India. In addition, the company has invested heavily in technology innovation with two R&D centers in Poland and India. These R&D centers are home to a growing team of engineers who are working on projects that will further enhance and extend the breadth and depth of Sumo Logic’s machine data analytics platform.

- Strong Global Partner Ecosystem: Sumo Logic is significantly expanding its global partner presence with AWS and others to help organizations get real-time operational and security insights into their modern applications, while delivering the continuous intelligence needed to tackle their toughest challenges, including public cloud migration, the upcoming General Data Protection Regulation (GDPR) deadline, Payment Card Industry (PCI) compliance regulations and more. New partners include Ackcent Cybersecurity, Nordcloud, Cloud Technology Partners, GlobalDots, Opensky/TUV, Olindata, Sec-1/Claranet and Beeso IT, CMD Solutions, Datacom, RedBear IT and Vibrato.

- New AWS Frankfurt Data Center: Sumo Logic recently launched a fully operational AWS deployment in Frankfurt, Germany to provide new and existing customers access to a state-of-the-art, highly-available AWS data center to support provisioning accounts from both sumologic.com and the AWS Marketplace. Global enterprises who operate in Germany must comply with data sovereignty rules and keep certain data sets within German national boundaries. Sumo Logic’s newly launched Frankfurt footprint is another major step forward in providing global enterprises with a consistent, state-of-the-art, global view of their business while supporting country-specific data privacy and sovereignty rules such as Germany Privacy Rules and European Union (EU) regulations, such as the EU GDPR.

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Sumo Logic Expands Global Footprint

Sumo Logic announced its expansion of the Sumo Logic business in Europe, the Middle East and Africa (EMEA) and Asia-Pacific (APAC) to meet growing international demand for cloud-native machine data analytics.

Specifically, the company accelerated its global investment in three key areas, including expanding its international sales team and two regional research and development (R&D) centers, deepening its partner ecosystem, and launching an Amazon Web Services (AWS) instance in Frankfurt, Germany to provide the infrastructure that gives customers a holistic view of global data.

Sumo Logic is expanding its global footprint in three key investment areas:

- International Teams and R&D Centers: Sumo Logic doubled its international headcount over the past year with teams in Europe, Australia, Asia and India. In addition, the company has invested heavily in technology innovation with two R&D centers in Poland and India. These R&D centers are home to a growing team of engineers who are working on projects that will further enhance and extend the breadth and depth of Sumo Logic’s machine data analytics platform.

- Strong Global Partner Ecosystem: Sumo Logic is significantly expanding its global partner presence with AWS and others to help organizations get real-time operational and security insights into their modern applications, while delivering the continuous intelligence needed to tackle their toughest challenges, including public cloud migration, the upcoming General Data Protection Regulation (GDPR) deadline, Payment Card Industry (PCI) compliance regulations and more. New partners include Ackcent Cybersecurity, Nordcloud, Cloud Technology Partners, GlobalDots, Opensky/TUV, Olindata, Sec-1/Claranet and Beeso IT, CMD Solutions, Datacom, RedBear IT and Vibrato.

- New AWS Frankfurt Data Center: Sumo Logic recently launched a fully operational AWS deployment in Frankfurt, Germany to provide new and existing customers access to a state-of-the-art, highly-available AWS data center to support provisioning accounts from both sumologic.com and the AWS Marketplace. Global enterprises who operate in Germany must comply with data sovereignty rules and keep certain data sets within German national boundaries. Sumo Logic’s newly launched Frankfurt footprint is another major step forward in providing global enterprises with a consistent, state-of-the-art, global view of their business while supporting country-specific data privacy and sovereignty rules such as Germany Privacy Rules and European Union (EU) regulations, such as the EU GDPR.

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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 ... 

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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 ...

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.