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AppDynamics Announces Availability Winter '16 Release

AppDynamics announced general availability of its Winter '16 Release, featuring next-generation updates to its Application Intelligence Platform to help enterprises achieve the user experience and operational success necessary for effective digital transformation.

Amplifying the capabilities of AppDynamics’ application-centric Unified Monitoring solution, the newly available Winter ’16 Release enables greater visibility into the user journey with detailed User Sessions support; enhanced monitoring with Server Visibility and Browser Synthetic Monitoring; and support for C/C++ applications. AppDynamics Application Analytics, which seamlessly integrates with the Application Intelligence Platform, received major upgrades to enhance the interface and provide deeper, actionable insights into users, applications, and the correlations between application and business performance.

The Winter '16 Release introduces User Sessions, which provides a rich and detailed view into the user journey — what actions users take as they move through each transaction in the conversion funnel, and how application performance impacts their journey. This real-time data, across both mobile and desktop, helps companies better manage user experience; identify opportunities to improve conversion; provide more personalized and relevant support; and connect the dots between application performance and business outcomes.

“The role of today’s CIO is evolving to bridge the gap between business and technology, and make customer experience a top priority,” said Jyoti Bansal, Founder, Chairman and Chief Strategist of AppDynamics. “That means measuring the way users interact with applications, and ensuring the applications perform optimally. Our new Winter ’16 Release provides IT teams with the most comprehensive view of performance from the end-user’s perspective, in a single intuitive dashboard. We allow enterprises to efficiently review application and customer behavioral data — the real-time, actionable insights needed to drive business outcomes and organizational success.”

Also with this release, AppDynamics makes Browser Synthetic Monitoring generally available, offering monitoring of website performance from dozens of locations around the globe. Browser Synthetic Monitoring enables enterprises to ensure availability and performance of their websites even in the absence of real users, and enables accurate competitive benchmarking and measurement of third-party performance.

AppDynamics Unified Monitoring provides industry-leading, end-to-end visibility from the end user through all the application layers and their supporting infrastructure to facilitate comprehensive management of user experience and application health. With the Winter ’16 Release, Unified Monitoring now supports C/C++ applications through a monitoring SDK that enables the same real-time, end-to-end, user-to-database performance visibility as other supported languages, for rapid root-cause analysis and issue resolution. Like all components of Unified Monitoring, the C/C++ capability includes automatic discovery and mapping of all tiers that service and interact with C/C++ applications, and business transaction contextualization for performance reporting.

The Winter '16 Release also delivers the following enhancements to AppDynamics’ Application Analytics: support for more data sets, including all of AppDynamics APM data, log data, and APIs for importing/exporting external data sets; a custom SQL-based query language that enables unified search and log correlation with business transactions; a number of user interface enhancements and new out-of-the-box visualizations and data widgets; and role-based access control.

Server Visibility is also now generally available, enabling IT operations to proactively isolate and quickly resolve server performance issues in context of business transactions. Enhancements include: support for Windows servers; user interface upgrades, enabling drill-down to server metrics directly from the application flow map; and the ability to monitor servers that do not have an AppDynamics agent installed.

Finally, the newly available release offers 25 new extensions, including 19 for monitoring Amazon Web Services (AWS) components — which brings the extension count within the AppDynamics Exchange to nearly 150, enabling AppDynamics users to monitor an ever-growing roster of specific application and infrastructure components.

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 ...

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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.

AppDynamics Announces Availability Winter '16 Release

AppDynamics announced general availability of its Winter '16 Release, featuring next-generation updates to its Application Intelligence Platform to help enterprises achieve the user experience and operational success necessary for effective digital transformation.

Amplifying the capabilities of AppDynamics’ application-centric Unified Monitoring solution, the newly available Winter ’16 Release enables greater visibility into the user journey with detailed User Sessions support; enhanced monitoring with Server Visibility and Browser Synthetic Monitoring; and support for C/C++ applications. AppDynamics Application Analytics, which seamlessly integrates with the Application Intelligence Platform, received major upgrades to enhance the interface and provide deeper, actionable insights into users, applications, and the correlations between application and business performance.

The Winter '16 Release introduces User Sessions, which provides a rich and detailed view into the user journey — what actions users take as they move through each transaction in the conversion funnel, and how application performance impacts their journey. This real-time data, across both mobile and desktop, helps companies better manage user experience; identify opportunities to improve conversion; provide more personalized and relevant support; and connect the dots between application performance and business outcomes.

“The role of today’s CIO is evolving to bridge the gap between business and technology, and make customer experience a top priority,” said Jyoti Bansal, Founder, Chairman and Chief Strategist of AppDynamics. “That means measuring the way users interact with applications, and ensuring the applications perform optimally. Our new Winter ’16 Release provides IT teams with the most comprehensive view of performance from the end-user’s perspective, in a single intuitive dashboard. We allow enterprises to efficiently review application and customer behavioral data — the real-time, actionable insights needed to drive business outcomes and organizational success.”

Also with this release, AppDynamics makes Browser Synthetic Monitoring generally available, offering monitoring of website performance from dozens of locations around the globe. Browser Synthetic Monitoring enables enterprises to ensure availability and performance of their websites even in the absence of real users, and enables accurate competitive benchmarking and measurement of third-party performance.

AppDynamics Unified Monitoring provides industry-leading, end-to-end visibility from the end user through all the application layers and their supporting infrastructure to facilitate comprehensive management of user experience and application health. With the Winter ’16 Release, Unified Monitoring now supports C/C++ applications through a monitoring SDK that enables the same real-time, end-to-end, user-to-database performance visibility as other supported languages, for rapid root-cause analysis and issue resolution. Like all components of Unified Monitoring, the C/C++ capability includes automatic discovery and mapping of all tiers that service and interact with C/C++ applications, and business transaction contextualization for performance reporting.

The Winter '16 Release also delivers the following enhancements to AppDynamics’ Application Analytics: support for more data sets, including all of AppDynamics APM data, log data, and APIs for importing/exporting external data sets; a custom SQL-based query language that enables unified search and log correlation with business transactions; a number of user interface enhancements and new out-of-the-box visualizations and data widgets; and role-based access control.

Server Visibility is also now generally available, enabling IT operations to proactively isolate and quickly resolve server performance issues in context of business transactions. Enhancements include: support for Windows servers; user interface upgrades, enabling drill-down to server metrics directly from the application flow map; and the ability to monitor servers that do not have an AppDynamics agent installed.

Finally, the newly available release offers 25 new extensions, including 19 for monitoring Amazon Web Services (AWS) components — which brings the extension count within the AppDynamics Exchange to nearly 150, enabling AppDynamics users to monitor an ever-growing roster of specific application and infrastructure components.

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.