Sysdig adds Salil Deshpande to its Board along with raising $15m in Series B funding

– USA, CA – Sysdig, the container-native monitoring company, today announced a $15 million Series B funding round by existing investors Accel and Bain Capital Ventures. Sysdig will use the funds to accelerate growth, to continue building out its core technology for container and microservice environments, and to scale its operations and world-class support infrastructure to meet growing demand.

“Containers are the building block for microservices, and represent the next great platform shift for software developers in enterprises of all sizes,” said Loris Degioanni, CEO and founder of Sysdig. “While containers deliver efficiency and agility for developers, they introduce additional complexity for monitoring, troubleshooting, and operating production environments. Sysdig was born to address these specific needs for containers and the microservices built on top of them.”

According to a recent survey, 81 percent of respondents expect their companies to increase the investment in container-based technology. Respondents ranged from industry verticals including retail, banking/finance, manufacturing, and Internet infrastructure.

Accel Partners and Bain Capital Ventures co-led this round of funding. “Containers will address the majority of use cases that heavier virtual machines do today, plus more that virtual machines cannot,” said Salil Deshpande, Managing Director at Bain Capital Ventures, who joins the board of Sysdig. “What’s needed now is software that natively understands containers, applications running within them, and services built on top of them. Sysdig has all of these capabilities and more.”

Sysdig Cloud is based on sysdig, the open source troubleshooting tool that has been downloaded by hundreds of thousands of developers, devops, and sysadmins around the world. Its patent‐pending ContainerVision™ technology provides deep, request‐level visibility inside containers without invasive instrumentation. This approach succeeds for container monitoring where legacy monitoring fails, and at the same time makes monitoring applications and microservices simpler and more robust.

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