Skip to main content

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.

The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...

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.

The Latest

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

Many organizations assumed their infrastructure strategy was settled. It had been implemented, optimized and built into long-term plans. Recent changes in technology and vendor consolidation are forcing a second look. Cloud outages and licensing changes have exposed how much dependency exists on a small number of platforms. As a result, organizations are reevaluating whether those decisions still hold up under current conditions ...

Edge AI is strategically embedded in core IT and infrastructure spending across industries, according to the 2026 Edge AI Survey from ZEDEDA. The research shows that 83% of C-suite and IT executive respondents say edge AI is important to their core business strategy ...