Modern software platforms often consist of varied microservices, third-party APIs, and cloud resources. This distributed nature makes it challenging for engineers to fully understand system behavior, leading to troubleshooting delays and heightened operational risk.
groundcover is an observability platform that leverages eBPF sensors to directly capture logs, metrics, and traces from the kernel. It operates on a bring-your-own-cloud model, ensuring data remains within the user’s environment for enhanced privacy, security, and cost-effectiveness.
The company is also adjusting to the impact of AI-generated code on observability. With code being produced at superhuman speeds, challenges in code review before going into production increase. This suggests observability will have a more critical role in code validation and setting guardrails.
Yechezkel Rabinovich, also known as Chez, is the CTO and Co-founder of groundcover. He joins a podcast with Kevin Ball to discuss his transition from kernel engineering to founding an eBPF-based observability company. Their conversation covers the strength of eBPF, observability in modern systems, AI’s impact on software development and security, and the future direction 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 provides independent coaching for engineers and leaders. He co-founded and served as CTO for two companies, started the San Diego JavaScript meetup, and organizes the AI inaction discussion group through Latent Space.
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