Modern software platforms are made up of various microservices, third-party APIs, and cloud resources. The distributed nature of these systems makes it challenging for engineers to clearly understand how systems behave, potentially slowing down troubleshooting and raising operational risk.
groundcover is an observability platform that utilizes 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 in the user’s environment, enhancing privacy, security, and cost efficiency.
The company is also adapting to the impact of AI-generated code on observability. With code being produced at superhuman speeds, the challenges of reviewing code before production increase, suggesting observability will play a growing role in code validation and providing guardrails.
Yechezkel Rabinovich, or Chez, is the CTO and Co-founder of groundcover. He joins a podcast with Kevin Ball to discuss his journey from kernel engineering to building an eBPF-powered observability company. Their conversation delves into the power 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 two companies, served as CTO, founded the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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