Sumo Logic announced that Joe Kim has been appointed President and Chief Executive Officer, effective immediately.
Kim succeeds Ramin Sayar, who is stepping down after leading Sumo Logic over the past eight and half years and now through its successful acquisition by Francisco Partners.
Kim is a seasoned technology executive with more than two decades of operating executive experience in application, infrastructure, and security industries. Most recently, Mr. Kim served as a Senior Operating Partner for Francisco Partners Consulting (FPC), assisting in deal thesis, assessing product-market-fit and technology readiness and helping portfolio companies create value for customers and shareholders through advisory, board and mentorship activities. Prior to FPC, he served as the Chief Technology and Chief Product Officer of Citrix, where he was responsible for strategy, development and delivery of the company’s $3.2 billion portfolio of products. Throughout the course of his career, he has held various senior executive roles at SolarWinds, Hewlett Packard Enterprise and General Electric. In addition, he currently serves on the boards of SmartBear and Andela and is a member of the Innovation Advisory Council. He is a graduate of Marquette University.
“I have long been impressed by Sumo Logic’s ability to deliver powerful insights to customer’s cloud infrastructures through its observability and security solutions,” Kim said. “We intend to build on this strong foundation and deliver the leading SaaS analytics platform for reliable and secure cloud-native applications. I am excited to hit the ground running and to work alongside the Sumo Logic team to accelerate growth, innovate on our leading technology and empower our customers.”
Added Sayar, “I am very proud of the continued success and journey for Sumo Logic. I know that Sumo Logic’s customers, partners and employees are in good hands with Joe Kim as CEO. As the business transitions to private ownership, I look forward to seeing what the Sumo Logic and Francisco Partners teams can achieve together in this large and growing market opportunity.”
“We want to thank Ramin for his many years of leadership at Sumo Logic. Under his guidance, Sumo Logic has become a leading SaaS analytics platform for the observability and security markets. We are thrilled to partner with Joe in his new role as CEO. Joe brings a depth of product and technology experience and a strong customer-orientation, which will be instrumental in driving continued growth and market leadership at Sumo Logic,” said Brian Decker and Evan Daar, Partners at Francisco Partners.
The Latest
For decades, traditional observability tools have forced IT professionals to sift through endless dashboards, turning a flood of alerts into actionable insight and driving widespread burnout. While enterprises adopted AI to eliminate this friction, most still deploy it reactively rather than proactively ... As systems become more complex and IT moves to the center of business strategy, a reactive posture is unsustainable ...
Ask an operations team what they monitor and you will hear a familiar list: latency, errors, throughput, uptime. Those signals still matter for AI, but they no longer answer the most important question. As Krishna Sai, CTO of SolarWinds, puts it: "Traditional observability tells you a system is running. AI observability tells you whether it's still reasoning soundly. Those are completely different questions" ...
AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...
Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...
Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...
When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...
In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...
Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...
AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...
Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...