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Sumo Logic Names New VP of Engineering

Sumo Logic announced the appointment of Sandeep Khanna as VP of Engineering where he will lead research, development, operations and continued innovation of the company’s machine data analytics platform.

Khanna is a 25-year veteran leading technology innovation and product development in digital advertising, analytics, infrastructure, operating system and distributed computing at companies such as Microsoft, Yahoo, WebMD and Sun Microsystems.

“Sumo Logic has made tremendous advances innovating on our cloud-native machine data analytics service, and as we continue to scale and deliver the innovative service our 1,000 plus and growing customer base expects, we’re excited to add Sandeep with his impressive pedigree to the team,” said Ramin Sayar, President and CEO for Sumo Logic. “Sandeep’s deep experience building highly scalable products, executing solutions from product definition to development and managing services is a perfect fit, as he understands the value Sumo Logic brings to customers and can help us expand and grow our service.”

Prior to joining Sumo Logic, Khanna was with Microsoft where he was responsible for all aspects of display advertising R&D, including product strategy, definition, creation and quality of service. Recently, he was responsible for the successful transition of the display platform to AOL. Before joining Microsoft, Khanna led Yahoo’s product and technology teams responsible for defining the strategy, direction and execution of critical initiatives across areas of HotJobs, Shopping, Travel, Local, Right Media Exchange and Display Advertising Platform. Khanna has also held engineering leadership positions at WebMD and Sun Microsystems.

“The convergence of mega trends such as cloud, big data and security is putting data analytics as a key driver for digital transformation,” said Khanna. “Over the past six years, Sumo Logic has built an enviable business that is well positioned to lead the market. I’m thrilled to join a world-class engineering team to help drive continued innovation of Sumo Logic’s advanced data analytics technology delivering real-time, continuous intelligence and value for our customers."

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Sumo Logic Names New VP of Engineering

Sumo Logic announced the appointment of Sandeep Khanna as VP of Engineering where he will lead research, development, operations and continued innovation of the company’s machine data analytics platform.

Khanna is a 25-year veteran leading technology innovation and product development in digital advertising, analytics, infrastructure, operating system and distributed computing at companies such as Microsoft, Yahoo, WebMD and Sun Microsystems.

“Sumo Logic has made tremendous advances innovating on our cloud-native machine data analytics service, and as we continue to scale and deliver the innovative service our 1,000 plus and growing customer base expects, we’re excited to add Sandeep with his impressive pedigree to the team,” said Ramin Sayar, President and CEO for Sumo Logic. “Sandeep’s deep experience building highly scalable products, executing solutions from product definition to development and managing services is a perfect fit, as he understands the value Sumo Logic brings to customers and can help us expand and grow our service.”

Prior to joining Sumo Logic, Khanna was with Microsoft where he was responsible for all aspects of display advertising R&D, including product strategy, definition, creation and quality of service. Recently, he was responsible for the successful transition of the display platform to AOL. Before joining Microsoft, Khanna led Yahoo’s product and technology teams responsible for defining the strategy, direction and execution of critical initiatives across areas of HotJobs, Shopping, Travel, Local, Right Media Exchange and Display Advertising Platform. Khanna has also held engineering leadership positions at WebMD and Sun Microsystems.

“The convergence of mega trends such as cloud, big data and security is putting data analytics as a key driver for digital transformation,” said Khanna. “Over the past six years, Sumo Logic has built an enviable business that is well positioned to lead the market. I’m thrilled to join a world-class engineering team to help drive continued innovation of Sumo Logic’s advanced data analytics technology delivering real-time, continuous intelligence and value for our customers."

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For many B2B and B2C enterprise brands, technology isn't a core strength. Relying on overly complex architectures (like those that follow a pure MACH doctrine) has been flagged by industry leaders as a source of operational slowdown, creating bottlenecks that limit agility in volatile market conditions ...

FinOps champions crucial cross-departmental collaboration, uniting business, finance, technology and engineering leaders to demystify cloud expenses. Yet, too often, critical cost issues are softened into mere "recommendations" or "insights" — easy to ignore. But what if we adopted security's battle-tested strategy and reframed these as the urgent risks they truly are, demanding immediate action? ...

Two in three IT professionals now cite growing complexity as their top challenge — an urgent signal that the modernization curve may be getting too steep, according to the Rising to the Challenge survey from Checkmk ...

While IT leaders are becoming more comfortable and adept at balancing workloads across on-premises, colocation data centers and the public cloud, there's a key component missing: connectivity, according to the 2025 State of the Data Center Report from CoreSite ...

A perfect storm is brewing in cybersecurity — certificate lifespans shrinking to just 47 days while quantum computing threatens today's encryption. Organizations must embrace ephemeral trust and crypto-agility to survive this dual challenge ...

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

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 ...