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Accenture and SOASTA Form Alliance to Deliver Digital Performance Testing and Analytics Management

Accenture Invests in SOASTA

Accenture and SOASTA are forming an alliance to provide faster and more reliable digital performance management solutions to clients.

In addition, Accenture has made a minority investment in SOASTA. Terms of Accenture’s investment were not disclosed.

Combining Accenture’s global testing and performance engineering capabilities with SOASTA’s advanced performance management and analytics tools will allow clients to increase end-to-end performance of their web sites and mobile applications while delivering exceptional customer experiences. This ability to monitor customer experience in real time can help predict and solve performance problems from virtually any location and on any device around the world. This approach can provide significant business visibility and drive revenue impact, such as in online retail where even momentary latency can result in significant drops in page views, shopping cart abandonment and ultimately sales conversion.

“The speed of digital and mobile is a game-changer, leading businesses to embrace agile, high velocity application development,” said Paul Daugherty, CTO, Accenture. “The accelerated pace of development is driving a greater need for high quality, reliable performance testing and validation in real-time production environments. Through agreements with pioneering companies like SOASTA, we are effectively strengthening our ability to offer on-demand performance engineering and testing as-a-service, along with advanced diagnostics, service virtualization and analytics as we help our clients transform rapidly into digital enterprises.“

As part of the alliance, Accenture will draw on its extensive experience with enterprise clients to advise SOASTA on their product roadmaps. Accenture will also become a reseller for SOASTA products and will provide solution development support.

“In the hyper-competitive online marketplace where performance is critical and milliseconds can equal millions, providing a better customer experience is the only way to win,” said Tom Lounibos, CEO and Co-Founder, SOASTA. “We’re thrilled to have established an investment and alliance agreement with Accenture, enabling us to provide even more business value to our joint clients by offering actionable intelligence that can help them quickly understand what’s working, what isn’t and what to do next.”

“Businesses are increasingly dependent on software and, therefore, on software performance,” said Kishore Durg, Managing Director and Global Testing Lead for Accenture. “Our alliance with SOASTA provides a step-change improvement in our performance diagnostic and monitoring capabilities, which are critical for today’s digital business. SOASTA is one example of how Accenture is advancing performance engineering and testing by incorporating the latest analytics tools and intelligent automation into our service delivery.”

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Accenture and SOASTA Form Alliance to Deliver Digital Performance Testing and Analytics Management

Accenture Invests in SOASTA

Accenture and SOASTA are forming an alliance to provide faster and more reliable digital performance management solutions to clients.

In addition, Accenture has made a minority investment in SOASTA. Terms of Accenture’s investment were not disclosed.

Combining Accenture’s global testing and performance engineering capabilities with SOASTA’s advanced performance management and analytics tools will allow clients to increase end-to-end performance of their web sites and mobile applications while delivering exceptional customer experiences. This ability to monitor customer experience in real time can help predict and solve performance problems from virtually any location and on any device around the world. This approach can provide significant business visibility and drive revenue impact, such as in online retail where even momentary latency can result in significant drops in page views, shopping cart abandonment and ultimately sales conversion.

“The speed of digital and mobile is a game-changer, leading businesses to embrace agile, high velocity application development,” said Paul Daugherty, CTO, Accenture. “The accelerated pace of development is driving a greater need for high quality, reliable performance testing and validation in real-time production environments. Through agreements with pioneering companies like SOASTA, we are effectively strengthening our ability to offer on-demand performance engineering and testing as-a-service, along with advanced diagnostics, service virtualization and analytics as we help our clients transform rapidly into digital enterprises.“

As part of the alliance, Accenture will draw on its extensive experience with enterprise clients to advise SOASTA on their product roadmaps. Accenture will also become a reseller for SOASTA products and will provide solution development support.

“In the hyper-competitive online marketplace where performance is critical and milliseconds can equal millions, providing a better customer experience is the only way to win,” said Tom Lounibos, CEO and Co-Founder, SOASTA. “We’re thrilled to have established an investment and alliance agreement with Accenture, enabling us to provide even more business value to our joint clients by offering actionable intelligence that can help them quickly understand what’s working, what isn’t and what to do next.”

“Businesses are increasingly dependent on software and, therefore, on software performance,” said Kishore Durg, Managing Director and Global Testing Lead for Accenture. “Our alliance with SOASTA provides a step-change improvement in our performance diagnostic and monitoring capabilities, which are critical for today’s digital business. SOASTA is one example of how Accenture is advancing performance engineering and testing by incorporating the latest analytics tools and intelligent automation into our service delivery.”

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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 ...

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.