The article discusses the challenges faced by engineering teams in building a resilient high-throughput surveillance platform capable of managing sudden surges in requests. The author shares their journey to enhance system performance by integrating eBPF, a cutting-edge Linux technology. With traffic peaks reaching 300,000 requests per second, they faced significant latency issues, prompting the addition of a caching layer in front of Redis. Despite initial difficulties in understanding academic research on eBPF, the team successfully applied its insights, leading to improved caching solutions and overall system efficiency.
Engineering teams building high-throughput systems know that scaling infrastructure is never just about speed, it's about resilience. At extreme volumes, even widely adopted tools can become bottlenecks.
When we were exploring new cache solutions, there weren't many real-world implementations with eBPF. We came across a research paper on how eBPF could improve caching at scale.
It wasn't easy, but once we successfully implemented it, the results spoke for themselves. It ended up changing how we approached caching overall.
eBPF is a Linux technology that allows small, high-performance programs to run directly inside the kernel. It improves performance and efficiency in data processing.
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