Sumo Logic Announces Improved Machine Data Analytics Platform


New features include native integrations and user experience improvements designed to make real-time continuous intelligence more accessible.

Sumo Logic, a provider of a cloud-native, machine data analytics platform that delivers continuous intelligence, has announced major new features for the platform.  Native integrations and universal access take advantage of Sumo Logic’s multi-tenant platform and machine learning capabilities to help customers build, run, secure and manage applications regardless of the underlying infrastructure.

The three new features include Sumo Cloud Flex, Unified machine data analytics, and universal access. Cloud Flex is touted as a new data analytics licensing model that removes user-based pricing. It’s designed for large terabyte-scale data sets and is now in private beta for organizations with data ingest as low as 500GB.

According to Sumo Logic, legacy technologies, inefficient siloed processes and tools, and a tsunami of data are slowing digital transformation. The company noted that Barclays’ Big Data Handbook predicts that the volume of machine data will exceed 16 zettabytes by 2020, and current approaches to machine data will leave the vast majority of digital insights hidden away, starving the operators of modern apps from the intelligence they need to make decisions.

“Sumo Logic is addressing these challenges by removing the licensing, speed and user access barriers that have been carried over from old computing models,” the company said in their announcement.

“In their attempts to gain the most from operations data, companies are often hindered by both the tremendous growth of machine data, and the pricing models of current solutions that are typically based on volume of data ingested and/or number of users,” said Nancy Gohring, senior analyst, application and infrastructure performance, 451 Research. “These models handcuff users, forcing them to neglect to collect important data and leave many potential users without access. As organizations continue their digital transformation processes, they need a model that allows them to leverage all kinds of data, across the enterprise.”

Unified data analytics consists of new integrations to cloud infrastructure services and cloud application development services to support data collection from a variety of sources including cloud platforms, apps and infrastructure. Services supported include Amazon Web Services, Google Cloud Platform, Heroku, Microsoft Azure and Pivotal Cloud Foundry as well as on-site infrastructures. The new integrations are available now.

“The move to cloud computing is causing a seismic shift in application architecture. Cloud-native platforms enable organizations to transform how they build software, with speed and flexibility,” said Joshua McKenty, VP of Global Ecosystem Engineering for Pivotal. “We’re excited to collaborate with Sumo Logic to provide Pivotal Cloud Foundry customers with operational visibility and real-time insights into their application performance and security as provided by Sumo Logic’s platform.”

Universal access is designed to address the professional skills gap by targeting non-technical users. It does this by providing a new contextual and intuitive user interface as well as improved content sharing, allow analytics and insights to be more accessible to non-technical users. These new capabilities are available today.

“Real-time machine data analytics is the only way digital businesses can experience the continuous intelligence needed to drive their continuous innovation processes,” said Ramin Sayar, president and CEO for Sumo Logic.

Learn more:

Cloud technologies

Machine learning

Sue Walsh

About Sue Walsh

Sue Walsh is News Writer for RTInsights, and a freelance writer and social media manager living in New York City. Her specialties include tech, security and e-commerce. You can follow her on Twitter at @girlfridaygeek.

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