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SOASTA Announces Fall 2016 Release of Digital Performance Management Platform

SOASTA announced its Fall 2016 Release, extending its Digital Performance Management (DPM) platform with the introduction of deep data science integration across the product portfolio; correlation with performance metrics and key marketing analytics tools; expansion of predictive analytics into new verticals; and enhanced Single-Page Applications (SPA) support for performance monitoring and load testing.

The Fall release also illustrates SOASTA’s commitment to “BizOps,” breaking down silos that exist between technical and business teams and allowing them to frictionlessly pursue a common goal – delivering an excellent customer experience and incremental revenue.

Fall Product Release Highlights

- Deeper data science integration and expanded capabilities designed for analyzing desktop and mobile traffic. With this release, mPulse also becomes formally powered by SOASTA’s data science engine, which allows for RUM-based testing and integration merged with SOASTA mPulse dashboards, real-time campaign performance, and real-time visibility and correlation with key marketing analytics tools – Adobe Analytics, IBM Coremetrics and Google Analytics.

- Already a key part of mPulse predictive analytics, the “what-if” dashboard now offers expanded functionality that enables users to select any conversion or revenue metric, such as session length or duration, bounce rate, and non-revenue-related conversions. This takes predictive analytics to a new level for verticals outside of e-commerce/retail. Most importantly, IT operations can now accurately forecast the value of their web and mobile performance improvements.

- With SOASTA’s new SPA support for performance testing, customers can easily create performance load test for SPA sites using the Chrome browser recorder extension. It records SPA apps, catching the “page” changes that are no longer full HTML downloads but instead are smaller region changes that deliver a faster end user experience.

- Measuring SPA is also improved with JavaScript error tracking, alerting and analytics in mPulse and provides, at a glance, critical error information, such as error rate, session experiencing errors, errors broken down by build, and recent error stack. “I’ve run into issues with other software and service providers not being able to fully support the Meteor framework. SOASTA was ahead of the curve in already supporting SPA-based applications. The implementation was a piece of cake,” said Dustin Behr, IT Development Supervisor at HOM Furniture.

- SOASTA can isolate first-party resources to determine the impact from third-party resources to remediate problems and establish SLAs for third- party vendors.

The SOASTA Fall 2016 Release is now available to all SOASTA customers in a limited release, and general availability will be in late October.

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SOASTA Announces Fall 2016 Release of Digital Performance Management Platform

SOASTA announced its Fall 2016 Release, extending its Digital Performance Management (DPM) platform with the introduction of deep data science integration across the product portfolio; correlation with performance metrics and key marketing analytics tools; expansion of predictive analytics into new verticals; and enhanced Single-Page Applications (SPA) support for performance monitoring and load testing.

The Fall release also illustrates SOASTA’s commitment to “BizOps,” breaking down silos that exist between technical and business teams and allowing them to frictionlessly pursue a common goal – delivering an excellent customer experience and incremental revenue.

Fall Product Release Highlights

- Deeper data science integration and expanded capabilities designed for analyzing desktop and mobile traffic. With this release, mPulse also becomes formally powered by SOASTA’s data science engine, which allows for RUM-based testing and integration merged with SOASTA mPulse dashboards, real-time campaign performance, and real-time visibility and correlation with key marketing analytics tools – Adobe Analytics, IBM Coremetrics and Google Analytics.

- Already a key part of mPulse predictive analytics, the “what-if” dashboard now offers expanded functionality that enables users to select any conversion or revenue metric, such as session length or duration, bounce rate, and non-revenue-related conversions. This takes predictive analytics to a new level for verticals outside of e-commerce/retail. Most importantly, IT operations can now accurately forecast the value of their web and mobile performance improvements.

- With SOASTA’s new SPA support for performance testing, customers can easily create performance load test for SPA sites using the Chrome browser recorder extension. It records SPA apps, catching the “page” changes that are no longer full HTML downloads but instead are smaller region changes that deliver a faster end user experience.

- Measuring SPA is also improved with JavaScript error tracking, alerting and analytics in mPulse and provides, at a glance, critical error information, such as error rate, session experiencing errors, errors broken down by build, and recent error stack. “I’ve run into issues with other software and service providers not being able to fully support the Meteor framework. SOASTA was ahead of the curve in already supporting SPA-based applications. The implementation was a piece of cake,” said Dustin Behr, IT Development Supervisor at HOM Furniture.

- SOASTA can isolate first-party resources to determine the impact from third-party resources to remediate problems and establish SLAs for third- party vendors.

The SOASTA Fall 2016 Release is now available to all SOASTA customers in a limited release, and general availability will be in late October.

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AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

According to Gartner, Inc. the following six trends will shape the future of cloud over the next four years, ultimately resulting in new ways of working that are digital in nature and transformative in impact ...

2020 was the equivalent of a wedding with a top-shelf open bar. As businesses scrambled to adjust to remote work, digital transformation accelerated at breakneck speed. New software categories emerged overnight. Tech stacks ballooned with all sorts of SaaS apps solving ALL the problems — often with little oversight or long-term integration planning, and yes frequently a lot of duplicated functionality ... But now the music's faded. The lights are on. Everyone from the CIO to the CFO is checking the bill. Welcome to the Great SaaS Hangover ...

Regardless of OpenShift being a scalable and flexible software, it can be a pain to monitor since complete visibility into the underlying operations is not guaranteed ... To effectively monitor an OpenShift environment, IT administrators should focus on these five key elements and their associated metrics ...

An overwhelming majority of IT leaders (95%) believe the upcoming wave of AI-powered digital transformation is set to be the most impactful and intensive seen thus far, according to The Science of Productivity: AI, Adoption, And Employee Experience, a new report from Nexthink ...

Overall outage frequency and the general level of reported severity continue to decline, according to the Outage Analysis 2025 from Uptime Institute. However, cyber security incidents are on the rise and often have severe, lasting impacts ...