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Sumo Logic Completes $110 Million Funding Round

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.”

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Sumo Logic Completes $110 Million Funding Round

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.”

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In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

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Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...

The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...

The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...

In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...

AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.