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Turbonomic and AppDynamics Extend Partnership

Turbonomic, an inaugural member of the new AppDynamics Integration Partner Program (IPP), is extending its collaboration with AppDynamics to now include joint sales, marketing and support.

Turbonomic’s Application Resource Management (ARM) solution, when integrated with the AppDynamics Application Performance Management (APM) solution, enables enterprise customers to achieve fully-automated application performance assurance – an approach trusted by the world’s largest companies running the most complex and dynamic applications.

As a long-time AppDynamics technology partner, Turbonomic extends the visibility, insight, and action of AppDynamics to dynamically resource applications, thereby sustaining customers’ target end-user response times. In doing so, Turbonomic bridges all infrastructure tiers and application teams, breaking down silos which are widening as customers embrace a new generation of cloud native applications distributed across multicloud environments.

“Performance degradation is not an option in today’s digital age and abandonment rates confirm this," said Brian Paul, head of ecosystem strategy and development, AppDynamics. “With increasingly complex application environments and the acceleration of hybrid and multi-cloud architectures, now more than ever, businesses need cross-domain visibility, insights and automation to ensure their applications are performing optimally and delivering an exceptional customer experience. The unique alignment between AppDynamics and Turbonomic enables a proactive approach to neutralize the complexities of cloud management through full stack automation powered by an application centric decision framework that makes on-demand resourcing of applications possible and ultimately delivers a seamless experience for the user.”

“Historically, IT has separate teams who either monitor applications or resources. While both teams have a shared goal of assuring application performance and should be closely collaborating, the complexity of multicloud, containers and more are driving them apart. Turbonomic Application Resource Management uniquely brings these teams together in the manner in which they were always intended – and needed – to align,” said Tom Murphy, CMO at Turbonomic.

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Turbonomic and AppDynamics Extend Partnership

Turbonomic, an inaugural member of the new AppDynamics Integration Partner Program (IPP), is extending its collaboration with AppDynamics to now include joint sales, marketing and support.

Turbonomic’s Application Resource Management (ARM) solution, when integrated with the AppDynamics Application Performance Management (APM) solution, enables enterprise customers to achieve fully-automated application performance assurance – an approach trusted by the world’s largest companies running the most complex and dynamic applications.

As a long-time AppDynamics technology partner, Turbonomic extends the visibility, insight, and action of AppDynamics to dynamically resource applications, thereby sustaining customers’ target end-user response times. In doing so, Turbonomic bridges all infrastructure tiers and application teams, breaking down silos which are widening as customers embrace a new generation of cloud native applications distributed across multicloud environments.

“Performance degradation is not an option in today’s digital age and abandonment rates confirm this," said Brian Paul, head of ecosystem strategy and development, AppDynamics. “With increasingly complex application environments and the acceleration of hybrid and multi-cloud architectures, now more than ever, businesses need cross-domain visibility, insights and automation to ensure their applications are performing optimally and delivering an exceptional customer experience. The unique alignment between AppDynamics and Turbonomic enables a proactive approach to neutralize the complexities of cloud management through full stack automation powered by an application centric decision framework that makes on-demand resourcing of applications possible and ultimately delivers a seamless experience for the user.”

“Historically, IT has separate teams who either monitor applications or resources. While both teams have a shared goal of assuring application performance and should be closely collaborating, the complexity of multicloud, containers and more are driving them apart. Turbonomic Application Resource Management uniquely brings these teams together in the manner in which they were always intended – and needed – to align,” said Tom Murphy, CMO at Turbonomic.

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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 ...

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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 ...

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