Graylog has secured $39 million in funding to help continue its significant growth momentum.
New investor Silver Lake Waterman and existing investors Piper Sandler Merchant Banking and Harbert Growth Partners led the funding.
“The growth we are seeing globally is a response to our team’s focus on innovation, a superior user experience, low total cost of ownership, and strong execution from our Go-To-Market and Customer Success teams,” said Andy Grolnick, CEO of Graylog. “We expect this momentum to continue as Graylog expands its reach and raises its profile in the security market.”
“Graylog’s solid growth underscores the strength of the extensible Threat Detection & Incident Response platform the team has built to help customers detect and respond to cybersecurity threats and leverage advanced log management for operational effectiveness,” said Shawn O’Neill, Managing Director and Group Head of Silver Lake Waterman. “We look forward to partnering with Graylog to help enable their continued success.”
Recent market expansion initiatives are also expected to help fuel future growth:
- In July 2023, Graylog entered the API Security market segment by acquiring Resurface.io’s API security platform. Graylog API Security helps customers monitor and defend the increasingly vulnerable API attack surface.
- Graylog has grown its presence in Europe and Asia Pacific by adding personnel and strategic channel partners over the past year.
- To help streamline procurement for customers worldwide, Graylog is now available on the AWS Marketplace with plans for more listings in 2024.
“Graylog’s product-led growth model, combined with its focus on customer success, continues to be an attractive combination that bodes well for its future. We’re also excited about Graylog’s expansion into the API Security space to help its customers defend this vulnerable attack surface,” said Bob Rinek, Managing Director with Piper Sandler Merchant Banking.
The company plans to leverage the new funding to accelerate product development and differentiation, scale global go-to-market operations, and bridge to profitability.
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 ...