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AppDynamics Advanced Support for Hybrid Cloud Environments Built Using Microsoft Azure

AppDynamics announced advanced support for monitoring digital businesses in real-time in hybrid cloud environments built using Microsoft Azure, which is available via AppDynamics Exchange.

The world’s largest enterprises can accelerate their digital transformations by enhancing application and business monitoring with AppDynamics on Azure platforms.

As enterprises in every industry digitally transform their businesses to meet modern consumers' demands, AppDynamics is bolstering its role as a digital accelerator in that process with the expanded Azure support. AppDynamics gives enterprises the confidence to deploy digital solutions for business-critical functions knowing that they have uninterrupted, end-to-end visibility across public, private and hybrid cloud environments. With AppDynamics Application Performance Management powered by the App iQ Platform, enterprises have flexibility to cost-effectively deploy and manage application workloads and the digital businesses built on them.

This latest milestone builds on AppDynamics’ existing support for .NET, Azure and Azure Marketplace, while providing new capabilities for Azure Web Apps and enhanced integration with Azure Marketplace.

“In the digital economy, cloud technology is powering the applications that have become core to companies’ ability to deliver the experience customers demand,” said Bhaskar Sunkara, cofounder and CTO, AppDynamics. “The best companies run the best technology. And through this new collaboration with Microsoft, the world’s largest enterprises can use Azure’s platform across hybrid cloud environments with business and application performance assured by AppDynamics.”

Steve Guggenheimer, Corporate VP and Chief Evangelist, Microsoft Corp. said, “Our enterprise customers’ needs are at the forefront of how we innovate. As companies move more workloads to the cloud, their need for environment-specific performance monitoring increases. AppDynamics offers our customers enterprise scale performance monitoring to provide the insights they need to drive their digital transformation in our public cloud environment or our hybrid environments to enhance their existing investments.”

AppDynamics is working with Microsoft to integrate AppDynamics’ offerings with the newest Azure capabilities announced at Microsoft Ignite in September — Azure Monitoring and Azure Resource Manager — to provide the deepest visibility up and down the application stack, including all Azure resources correlated with the application experience and the business results they support. This integration will be enabled through a simple template that will be available to customers via one-click access in Azure Marketplace.

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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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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 ...

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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.

AppDynamics Advanced Support for Hybrid Cloud Environments Built Using Microsoft Azure

AppDynamics announced advanced support for monitoring digital businesses in real-time in hybrid cloud environments built using Microsoft Azure, which is available via AppDynamics Exchange.

The world’s largest enterprises can accelerate their digital transformations by enhancing application and business monitoring with AppDynamics on Azure platforms.

As enterprises in every industry digitally transform their businesses to meet modern consumers' demands, AppDynamics is bolstering its role as a digital accelerator in that process with the expanded Azure support. AppDynamics gives enterprises the confidence to deploy digital solutions for business-critical functions knowing that they have uninterrupted, end-to-end visibility across public, private and hybrid cloud environments. With AppDynamics Application Performance Management powered by the App iQ Platform, enterprises have flexibility to cost-effectively deploy and manage application workloads and the digital businesses built on them.

This latest milestone builds on AppDynamics’ existing support for .NET, Azure and Azure Marketplace, while providing new capabilities for Azure Web Apps and enhanced integration with Azure Marketplace.

“In the digital economy, cloud technology is powering the applications that have become core to companies’ ability to deliver the experience customers demand,” said Bhaskar Sunkara, cofounder and CTO, AppDynamics. “The best companies run the best technology. And through this new collaboration with Microsoft, the world’s largest enterprises can use Azure’s platform across hybrid cloud environments with business and application performance assured by AppDynamics.”

Steve Guggenheimer, Corporate VP and Chief Evangelist, Microsoft Corp. said, “Our enterprise customers’ needs are at the forefront of how we innovate. As companies move more workloads to the cloud, their need for environment-specific performance monitoring increases. AppDynamics offers our customers enterprise scale performance monitoring to provide the insights they need to drive their digital transformation in our public cloud environment or our hybrid environments to enhance their existing investments.”

AppDynamics is working with Microsoft to integrate AppDynamics’ offerings with the newest Azure capabilities announced at Microsoft Ignite in September — Azure Monitoring and Azure Resource Manager — to provide the deepest visibility up and down the application stack, including all Azure resources correlated with the application experience and the business results they support. This integration will be enabled through a simple template that will be available to customers via one-click access in Azure Marketplace.

The Latest

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.