SOASTA Adds User Monitoring to its CloudTest Solution

Date 2015/1/15 12:26:16 | Topic: Product News

SOASTA  has combined its two leading testing and monitoring products into a single solution for continuous performance analysis for mobile and Web applications. SOASTA CloudTest now incorporates mPulse, the company’s Real User Monitoring (RUM) solution, which integrates complete performance data from real users to ensure continuous peak performance of digital businesses.
This new combined offering provides companies the most complete understanding of customers’ online experiences on Web and mobile through actual user data that measures the impact of real user experiences on a company’s transaction volumes, online revenue, conversions or other critical metrics. DevOps teams can use this information to build performance models that recreate and test exact usage scenarios – at any scale, in test labs or on live production systems. This enables teams to validate that user experiences match development expectations and to respond immediately if performance falls short.

“For any digital business owner, being able to view all their performance data in a single pane of glass and use it to make key business decisions is a game changer,” said Tom Lounibos, SOASTA CEO. “By aligning DevOps and business teams around real-time information from multiple sources, digital businesses can make their optimized user experience a competitive advantage, rather than taking a defensive approach when apps and websites stop performing to expected levels.”

The latest CloudTest solution includes new capabilities and functionality, including:
* SOASTA CloudTest – Predictive performance measurement and analysis with cloud-based load testing and advanced visualizations that deliver rapid, accurate results.
* SOASTA mPulse – Measurement and collection of performance profiles for every user to correlate real user activity to business metrics.
* SOASTA Data Science Workbench – Rapid access to user metrics from comprehensive performance big data to answer hard questions with simplified data science

This article comes from Software Development Tools

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