Interns can effectively address common Kubernetes pain points like misconfigurations, logging gaps, and image vulnerabilities through structured tasks and tooling.
Use Tetragon’s eBPF data to create dynamic security profiles that adapt to real workload behavior, reducing false positives and improving detection accuracy.
Use kubectl get events with timestamp sorting and container logs to quickly diagnose Kubernetes issues.
AI infrastructure offers growth but requires balancing niche skills with foundational platform engineering to avoid obsolescence.
Network issues are common in production Kubernetes, often stemming from CoreDNS, NetworkPolicy misconfigurations, or MTU mismatches, requiring systematic diagnosis and proactive policies.
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