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AppDynamics Expands Performance Management Support for Apps Running on AWS

New 60-day AppDynamics trial license offer enables customers to perform pre-migration application profiling and post-migration application performance management

The AppDynamics Application Intelligence Platform now supports customer applications running an expanded suite of services from Amazon Web Services (AWS). This expanded support provides deeper insight and control as applications migrate to and scale on the AWS Cloud.

AppDynamics offers the same performance monitoring, management, automated processes, and analytics for applications running on AWS that are available for applications running on-premises. With the AppDynamics Summer ’15 Release, applications deployed on AWS are now easily instrumented to provide complete visibility and control into an expanded set of AWS services, including Amazon Simple Queue Service (Amazon SQS), Amazon Simple Storage Service (Amazon S3), and Amazon DynamoDB. The AppDynamics Application Intelligence Platform now delivers to a broader set of AWS users real-time IT operational and business insights into performance, user experience, and business outcomes, helping enterprises to maximize the value of their applications running on AWS.

These new capabilities augment AppDynamics’ pre-existing support for visibility and control for AWS compute and database services such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Relational Database Service (Amazon RDS). Additionally, AppDynamics provides a monitoring extension that imports and auto-baselines any metrics published by Amazon CloudWatch, and provides a cloud connector extension for Amazon EC2 to allow auto-scaling based on a combination of infrastructure and application metrics.

Through a new 60-day trial license offer (and acceptance of license terms from AppDynamics), AWS Professional Services customers can utilize AppDynamics software to gain critical insight into key application data, which helps ensure successful application migration onto AWS. Customers using AppDynamics software are able to automatically map their application topology in real-time with out-of-the-box capabilities, and gain critical application insights to help ensure a smooth and successful AWS Cloud migration. To sign up for this offer, visit the AppDynamics registration portal.

“AppDynamics has been a long-term member of the AWS Partner Network, committed to accelerating the migration and monitoring of mission-critical applications to AWS. With broader AWS support capabilities, AppDynamics customers benefit from more options to help transition production workloads from on-premises to the AWS Cloud,” said Terry Wise, VP, Worldwide Partner Ecosystem, Amazon Web Services, Inc. “AppDynamics provides application owners with increased application performance metrics during pre-migration planning and provides ongoing data on the performance, effectiveness, and efficiency of their AWS application stack once migrated.”

“Application operations teams from Global 2000 enterprises have grown accustomed to deep dive instrumentation for their on-premises application workloads,” said Matthew Polly, VP of Worldwide Alliances and Business Development at AppDynamics. “With our Summer ’15 Release, AppDynamics is enabling app ops teams to have even greater visibility and control of their cloud-based applications.”

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AppDynamics Expands Performance Management Support for Apps Running on AWS

New 60-day AppDynamics trial license offer enables customers to perform pre-migration application profiling and post-migration application performance management

The AppDynamics Application Intelligence Platform now supports customer applications running an expanded suite of services from Amazon Web Services (AWS). This expanded support provides deeper insight and control as applications migrate to and scale on the AWS Cloud.

AppDynamics offers the same performance monitoring, management, automated processes, and analytics for applications running on AWS that are available for applications running on-premises. With the AppDynamics Summer ’15 Release, applications deployed on AWS are now easily instrumented to provide complete visibility and control into an expanded set of AWS services, including Amazon Simple Queue Service (Amazon SQS), Amazon Simple Storage Service (Amazon S3), and Amazon DynamoDB. The AppDynamics Application Intelligence Platform now delivers to a broader set of AWS users real-time IT operational and business insights into performance, user experience, and business outcomes, helping enterprises to maximize the value of their applications running on AWS.

These new capabilities augment AppDynamics’ pre-existing support for visibility and control for AWS compute and database services such as Amazon Elastic Compute Cloud (Amazon EC2) and Amazon Relational Database Service (Amazon RDS). Additionally, AppDynamics provides a monitoring extension that imports and auto-baselines any metrics published by Amazon CloudWatch, and provides a cloud connector extension for Amazon EC2 to allow auto-scaling based on a combination of infrastructure and application metrics.

Through a new 60-day trial license offer (and acceptance of license terms from AppDynamics), AWS Professional Services customers can utilize AppDynamics software to gain critical insight into key application data, which helps ensure successful application migration onto AWS. Customers using AppDynamics software are able to automatically map their application topology in real-time with out-of-the-box capabilities, and gain critical application insights to help ensure a smooth and successful AWS Cloud migration. To sign up for this offer, visit the AppDynamics registration portal.

“AppDynamics has been a long-term member of the AWS Partner Network, committed to accelerating the migration and monitoring of mission-critical applications to AWS. With broader AWS support capabilities, AppDynamics customers benefit from more options to help transition production workloads from on-premises to the AWS Cloud,” said Terry Wise, VP, Worldwide Partner Ecosystem, Amazon Web Services, Inc. “AppDynamics provides application owners with increased application performance metrics during pre-migration planning and provides ongoing data on the performance, effectiveness, and efficiency of their AWS application stack once migrated.”

“Application operations teams from Global 2000 enterprises have grown accustomed to deep dive instrumentation for their on-premises application workloads,” said Matthew Polly, VP of Worldwide Alliances and Business Development at AppDynamics. “With our Summer ’15 Release, AppDynamics is enabling app ops teams to have even greater visibility and control of their cloud-based applications.”

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.