Cisco’s AppDynamics Positioned Highest on Ability to Execute Axis and Named a Leader for Eighth Consecutive Time in 2020 Gartner Magic Quadrant for Application Performance Monitoring

Cisco AppDynamics Positioned Highest for Ability to Execute Among All Vendors for Business iQ

AppDynamics, a Cisco company, today announced that it is positioned highest in Ability to Execute in the latest Gartner Magic Quadrant for Application Performance Monitoring. This is the eighth consecutive time Cisco AppDynamics has been positioned as a Leader in the report. Gartner’s Ability to Execute axis recognizes vendors for their product and service delivery, overall viability, sales execution/pricing, market responsiveness/record, marketing execution and customer experience.

“Companies across every industry are now competing on digital experiences delivered by applications that no longer just support the business, but have become the business”

In a year that saw unprecedented levels of product innovation and increased release cadence, as well as accelerated reach into global enterprise organizations and landmark developments for the Central Nervous System for IT, we believe this recognition further reinforces the company’s position as a leading APM vendor trusted by the world’s largest and most-recognized enterprise brands for their mission-critical applications.

“Companies across every industry are now competing on digital experiences delivered by applications that no longer just support the business, but have become the business,” said Danny Winokur, general manager, AppDynamics. “They must innovate in their applications at the speed of business while keeping things simple for users and without breaking things. Traditional siloed business, development, and operations teams are under intense pressure to work together more closely so they can iterate quickly to achieve business results. The world’s largest enterprises and most innovative brands achieve results with AppDynamics through our ability to execute and deliver real-time insights that correlate business impact to application performance and underlying infrastructure across today’s hybrid, multi-cloud environments.”

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Since last year’s launch of its vision for the Central Nervous System for IT, AppDynamics has delivered a series of releases that address customer needs for next-generation, enterprise-grade APM through industry-leading product innovation and strategic partnerships that integrate adjacent technologies.

AppDynamics has accelerated its release cadence of critical new functionality to stay ahead of the needs of customers. With enhancements to scale and performance, usability, cloud coverage and improved AI/ML-based anomaly detection and root cause analysis, AppDynamics continues to be the proven vendor of choice for businesses who want to build flawless digital experiences and drive brand loyalty.

Significant enhancements include:

• Cloud coverage through native integrations with cloud platforms: AWS Lambda, Azure Functions, Amazon CloudWatch and Kubernetes
• Deeper data center integration with Cisco ACI, Cisco Workload Optimization Manager (CWOM), and Intersight Workload Optimizer
• Faster and easier dashboarding with Dash Studio
• Greater accuracy for anomaly detection and root cause analysis with Cognition Engine AI/ML enhancements
• Partnerships with Rookout and Harness that help achieve a closed loop operating model between ITOps and DevOps
• Expanded Integration Partner Program with companies like ServiceNow and Hashicorp.

Building on these enhancements and Cisco’s global scale, AppDynamics has accelerated its reach to Agents of Transformation at major enterprises around the world. By leveraging Cisco’s global salesforce, making significant investments in emerging markets, growing its integrated partner ecosystem, and producing a remarkable number of marketing initiatives and events, AppDynamics has brought business critical solutions to an expanding list of leading customers.

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“With AppDynamics, our mean time to detection went from hours to less than 10 minutes, which is a huge win for us,” said Nemo Hajiyusuf, Software Engineering Manager, Alaska Airlines. “We are always striving to provide the best customer experience possible for our customers. The holistic view of everything in a single pane of glass along with the ability to detect issues and drill down to fix them before they impact our customers means that we provide a flawless digital experience for our customers.”

“AppDynamics brings visibility to some of the dark corners of IT, exposing the detail in even the most challenging areas to explore,” said Oliver Presland, Vice President, Global Product Management, Ensono. “It helps IT infrastructure teams by giving them visibility of how everything in the IT stack is performing, whilst also being critical for the business application owners who are focused on developing digital services to grow revenue and improve customer experience. Often these two teams work quite independently until of course there’s a performance issue and everyone is called to a war room and starts pointing fingers at one another, trying to ascertain where the problem (and blame!) lies. AppDynamics removes the barrier between these teams, and provides end to end visibility so that they can work together, quickly pinpoint anomalies, identify the exact root cause and then collaborate to rectify the problem before it impacts the customer.”

In a world where application loyalty is the new brand loyalty, businesses are realizing that a flawless digital experience is now the baseline, and that customers and users will no longer forgive or forget poor digital performance. Being part of Cisco uniquely positions AppDynamics to partner with the world’s leading technologists and most innovative enterprise organizations to reimagine their applications and provide full visibility and deep insights into all aspects of infrastructure through the lens of applications. Across complex, hybrid multi-cloud application estates, AppDynamics helps predict many problems before they occur, and simplifies root cause analysis with reduced mean time to resolution when they do.

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