Modern software platforms are increasingly composed of various microservices, third-party APIs, and cloud resources. The distributed structure of these systems complicates engineers’ ability to clearly understand their behavior, potentially slowing troubleshooting and increasing operational risk.
groundcover is an observability platform using eBPF sensors to gather logs, metrics, and traces directly from the kernel. Crucially, it operates on a bring-your-own-cloud model, ensuring all data stays within the user’s own environment for enhanced privacy, security, and cost efficiency.
The company also adapts to the changes brought by AI-generated code on observability. The ability to produce code at superhuman speed poses new challenges for reviewing code before it goes live. This suggests that observability will likely have a growing role in code validation and providing safeguards.
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 firm. Their discussion covers the capabilities of eBPF, the realities of observability in modern systems, AI’s effect 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 was CTO for two companies, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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