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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.”

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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 ...

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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 ...

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