Secure DevOps Platform Sysdig Closes $70M in Series E Funding

Sysdig is planning to extend market presence and leadership in enabling enterprises to run cloud-native workloads in production confidently.

FREMONT, CA: The secure DevOps leader, Sysdig, has raised $70 million in Series E funding. Insight Partners led this series, and previous investors, Bain Capital Ventures and Accel also participated. Glynn Capital and Goldman Sachs also joined the round, after being a customer for two years. To date, Sysdig’s total funding is 206 million dollars. Sysdig will utilize the funds to extend market presence and leadership in enabling enterprises to run cloud-native workloads in production confidently.

Managing Director at Insight Partners, Richard Wells says that containers and Kubernetes development is disrupting the way organizations deploy and run containers. However, when you look at the history of significant technological changes, Kubernetes is still early. They invest in high-growth companies that are disrupting the old way of doing things, companies that will lead to this decade-long transition.

Soumya Rajamani, Sysdig Board Observer and Vice President of Merchant Banking at Goldman Sachs, mentioned that as a customer she is impressed with Sysdig’s technology and the company’s open-source approach to security. They are looking forward to Sysdig joining their investment portfolio and seeing their continued growth as a leading Kubernetes security vendor.

Most of the times, traditional and old tools do not provide proper visibility and leave the company blind. To reap all the advantages, firms have to update their tools with time. Here Kubernetes is the de facto operating system of the cloud; however, as organizations move workloads into production, security and visibility are the most significant barriers. This approach is often used to secure DevOps or DevSecOps.

In 2019 the company made a number of significant updates to the Sysdig Secure DevOps Platform. Then to extend the Sysdig secure DevOps approach for container-optimized Linux platforms, the company also introduced extended Berkeley Packet Filter (eBPF) instrumentation. After that, the company added machine learning for runtime profiling and anomaly detection.

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