Modern software platforms are increasingly composed of diverse microservices, third-party APIs, and cloud resources. The distributed nature of these systems makes it difficult for engineers to gain a clear view of how their systems behave, which can slow down troubleshooting and increase operational risk.
groundcover is an observability platform that uses eBPF sensors to capture logs, metrics, and traces directly from the kernel. Critically, groundcover runs on a bring-your-own-cloud model so all data remains within the user’s own environment, which gives increased privacy, security, and cost efficiency.
The company is also focused on adapting to how AI-generated code is changing observability. Code can now be produced at superhuman speed, which increases the challenges for reviewing code before it enters production. This means that observability is likely to play a growing 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 building an eBPF-powered observability company. The conversation explores the power of eBPF, the realities of observability in modern systems, the impact of AI on software development and security, and where the future of root-cause analysis is headed.
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, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
Please click here to see the transcript of this episode.
