Upwind’s eBPF sensor is lightweight and high performance, which was recently shown in a record-breaking image scan with customer H2O.ai.
When scanning H2O.ai’s 30GB container image with multiple dependencies, the Upwind sensor consumed less than 1GB of RAM, about 3% of the image size, demonstrating how Upwind ensures comprehensive runtime security coverage with a lightweight footprint.
“The Upwind sensor’s ability to scan very large container images without hindering performance has allowed our team to effortlessly implement cloud security at runtime. Its efficiency, combined with its minimal impact on our environment, is truly groundbreaking.”
-Ophir Zahavi, Cloud Engineering Manager, H20.ai
The Upwind sensor is able to scan large container images as well as monitor real-time traffic on Layers 3, 4 and 7 while maintaining a lightweight footprint and using less than .01%-1% CPU.
To learn more about Upwind’s high-performance eBPF demo, visit the Upwind Documentation Center (login required) or schedule a demo.
