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, ground cover 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. Yehazkel 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.

Kevin Ball, or K-Ball, 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.

Check out the show notes to follow KBall on Twitter or LinkedIn or visit his website,

kball.l. LLC.

Hey, Ches, welcome to the show. Hey, thank you. Nice to be here.

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