Modern software platforms are increasingly comprised of various microservices, third-party APIs, and cloud resources. The distributed nature of these systems complicates engineers’ ability to understand system behavior, slowing troubleshooting and increasing operational risk.
groundcover is an observability platform that employs eBPF sensors to capture logs, metrics, and traces directly from the kernel. Importantly, groundcover operates on a bring-your-own-cloud model, ensuring all data remains within the user’s environment for enhanced privacy, security, and cost efficiency.
The company is also focused on adapting to how AI-generated code is transforming observability. Code can now be generated at superhuman speed, heightening challenges for code review before production. This suggests that observability will increasingly play a crucial role in code validation and providing guardrails.
Yechezkel Rabinovich, or Chez, is the CTO and Co-founder of groundcover. He joins the podcast with Kevin Ball to discuss his journey from kernel engineering to founding an eBPF-powered observability company. The conversation examines the capabilities of eBPF, observability in modern systems, AI’s impact on software development and security, and the future of root-cause analysis.
Full Disclosure: This episode is sponsored by groundcover.
Kevin Ball, or KBall, is the vice president of engineering at Mento and an independent coach for engineers and engineering leaders. He co-founded and served as CTO for two companies, initiated the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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