AppNeta Tackles Big Data With Real-Time Application Performance Monitoring

AppNeta, Inc. announced its performance monitoring back-end storage and analytics technology, offering both real-time application performance metrics and long term trending and analysis.

This big data architecture is designed to scale to more than 50 trillion unique performance metrics allowing customers to understand the performance of applications and who is doing what on their networks. The parallelized cloud-based architecture is designed to deliver near real-time performance insight and support fast query performance when running against large historical data sets.

“AppNeta is embracing big data and cloud technologies to offer a depth of current and historical performance metrics that is unprecedented for a SaaS-based solution,” said Jim Frey, VP of research, Enterprise Management Associates. “The ability to capture, store and analyze a rich combination of application and network performance information, at scale across multiple locations and users, is something every business needs to be doing to adequately assure BC and properly execute capacity planning.”

“Our customers are often managing dozens of web applications, across hundreds of global locations and thousands of mobile end users,” said Matt Stevens, CTO, AppNeta. “With trillions of performance metrics occurring every month, they require easy-to-use solutions that scale effortlessly to help them continuously monitor how their business critical applications and global networks are performing for their end users.”

The company is transforming the application performance market with full stack APM insight. By providing performance visibility deep into the application code integrated with network performance metrics and end user experience monitoring, it helps customers to pinpoint outliers and bottlenecks, without losing the broader performance trends occurring across applications and networks. With this level of integrated visibility into the application environment, customers understand the experience of their end users across web, mobile and cloud-delivered applications.

The stack APM solutions for mobile and web app include:

• Code-level application performance monitoring

• Synthetic transaction monitoring

• Application-aware traffic analysis

• Network health and performance monitoring