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SignalFx and ALTERSIS Performance Announce Partnership to Extend Real-Time Cloud Monitoring to EMEA Enterprises

SignalFx announced a partnership with ALTERSIS Performance, the largest IT Performance company in EMEA, to bring SignalFx’s leading solution to the ALTERSIS portfolio of clients across Europe and Northern Africa.

ALTERSIS Performance (former Scopteam, adhoc International, Valid’IT and Sword Performance) is the leading IT Performance Consulting company in EMEA. With more than 350 engineers and experts, ALTERSIS is a preferred supplier for many organizations for the deployment of Application Performance Management, Performance Testing and Quality Assurance Technologies, Processes and Governance.

“We are continuously extending and innovating our services and product portfolio to tackle the most important needs for our clients in their cloud-native journey. SignalFx is a critical addition to our portfolio that will be invaluable in helping our clients address the modern needs of the digital enterprise,” said Tobias Sager, Managing Director, ALTERSIS Performance. “With its highly differentiated real-time cloud monitoring capabilities built on its streaming analytics architecture, SignalFx allows our clients to instantly see and take action on exactly what is happening across the infrastructure and applications layers of their tech stack. In this regard, the cloud-native and microservices monitoring capabilities are a key differentiator of SignalFx.”

SignalFx offers the only monitoring and observability platform based on real-time streaming analytics that can identify and alert on problems in seconds wherever they may occur in today’s increasingly complex cloud-native operating environments. The platform’s unique NoSample tail-based distributed tracing architecture allows users to observe every single transaction—not just a small sample—providing a more accurate view of the system’s behaviour. Leveraging its advanced analytics, SignalFx provides directed troubleshooting capabilities that allow developers to quickly filter findings in real-time, identify the root cause of issues, and initiate fixes before they impact customers.

“ALTERSIS Performance will be a key partner for SignalFx in extending our reach across Europe and Northern Africa,” said Andy Sadler, General Manager, EMEA. “Through our partnership, we’ll be able to help more organizations leverage the SignalFx real-time cloud monitoring and observability platform to address the increasingly complex observability needs of today’s digital businesses.”

This announcement comes amid continued momentum for SignalFx in EMEA. SignalFx recently announced a partnership with Cloudreach, a leading UK-based global cloud software and services provider, to bring SignalFx’s real-time cloud monitoring software to Cloudreach’s entire portfolio of customers as the de facto platform for monitoring cloud-based applications and infrastructures. Earlier this year, SignalFx opened a Research & Development and Support Office in Krakow, Poland following significant expansion of sales, services, and marketing operations in EMEA.

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SignalFx and ALTERSIS Performance Announce Partnership to Extend Real-Time Cloud Monitoring to EMEA Enterprises

SignalFx announced a partnership with ALTERSIS Performance, the largest IT Performance company in EMEA, to bring SignalFx’s leading solution to the ALTERSIS portfolio of clients across Europe and Northern Africa.

ALTERSIS Performance (former Scopteam, adhoc International, Valid’IT and Sword Performance) is the leading IT Performance Consulting company in EMEA. With more than 350 engineers and experts, ALTERSIS is a preferred supplier for many organizations for the deployment of Application Performance Management, Performance Testing and Quality Assurance Technologies, Processes and Governance.

“We are continuously extending and innovating our services and product portfolio to tackle the most important needs for our clients in their cloud-native journey. SignalFx is a critical addition to our portfolio that will be invaluable in helping our clients address the modern needs of the digital enterprise,” said Tobias Sager, Managing Director, ALTERSIS Performance. “With its highly differentiated real-time cloud monitoring capabilities built on its streaming analytics architecture, SignalFx allows our clients to instantly see and take action on exactly what is happening across the infrastructure and applications layers of their tech stack. In this regard, the cloud-native and microservices monitoring capabilities are a key differentiator of SignalFx.”

SignalFx offers the only monitoring and observability platform based on real-time streaming analytics that can identify and alert on problems in seconds wherever they may occur in today’s increasingly complex cloud-native operating environments. The platform’s unique NoSample tail-based distributed tracing architecture allows users to observe every single transaction—not just a small sample—providing a more accurate view of the system’s behaviour. Leveraging its advanced analytics, SignalFx provides directed troubleshooting capabilities that allow developers to quickly filter findings in real-time, identify the root cause of issues, and initiate fixes before they impact customers.

“ALTERSIS Performance will be a key partner for SignalFx in extending our reach across Europe and Northern Africa,” said Andy Sadler, General Manager, EMEA. “Through our partnership, we’ll be able to help more organizations leverage the SignalFx real-time cloud monitoring and observability platform to address the increasingly complex observability needs of today’s digital businesses.”

This announcement comes amid continued momentum for SignalFx in EMEA. SignalFx recently announced a partnership with Cloudreach, a leading UK-based global cloud software and services provider, to bring SignalFx’s real-time cloud monitoring software to Cloudreach’s entire portfolio of customers as the de facto platform for monitoring cloud-based applications and infrastructures. Earlier this year, SignalFx opened a Research & Development and Support Office in Krakow, Poland following significant expansion of sales, services, and marketing operations in EMEA.

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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 ...

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 ...