
Sumo Logic announced a $110 million funding round led by Battery Ventures, with contributions from new investors including Tiger Global Management and Franklin Templeton, as well as participation from existing investors.
“Sumo Logic’s growth is driven by the shift to digital business and cloud adoption across all industries and companies of all sizes,” said Ramin Sayar, President and CEO, Sumo Logic. “We have proven that we are the platform of choice for not only cloud-native companies, but also enterprise companies and their cloud migration initiatives. It's great to have such a powerful set of leading investors and ecosystem partners as we accelerate our category leadership.”
This $110 million in funding brings total funding to date to $345 million. The investments will continue to fuel Sumo Logic’s business – spanning engineering, sales, and global operations – with an emphasis on extending the platform analytics capabilities of its service. These new capabilities address the operational, security and business requirements of modern businesses as they rapidly adopt new multi-cloud and hybrid-cloud infrastructure, architecture, tools, and processes.
“We have been tracking the Sumo Logic team for some time, and admire the company’s early understanding of the massive cloud-native opportunity and the rise of new, modern application architectures,” said Dharmesh Thakker, General Partner, Battery Ventures. “The company’s fast-growing business dovetails with Battery’s larger thesis on “OpenCloud”—open-source and cloud-native technologies working with, not against, new cloud distribution models—and we are thrilled to partner with the team to capture the significant opportunity ahead.”
The Latest
As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...
Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...
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 ...