Next-Gen Unix, Storage & Infrastructure Operational Paradigms
Multi-Tenant Kubernetes Isolation
Multi-tenant Kubernetes shares one cluster across teams or customers to cut cost and simplify operations, but it also concentrates risk. Isolation spans namespaces, network policies, resource quotas, RBAC, and increasingly kernel-level sandboxing. The goal is strong enough boundaries that a noisy or compromised tenant cannot affect others, without losing the efficiency that motivated sharing.
要点
- Use namespaces as the base boundary and enforce resource quotas and limit ranges per tenant.
- Apply default-deny network policies and explicit allow rules between tenants.
- Scope RBAC tightly per tenant and audit cluster-admin grants regularly.
- Use node pools or taints to separate tenants with different trust or performance needs.
- Adopt sandboxed runtimes such as gVisor or Kata for untrusted or third-party workloads.
- Enforce pod security standards and disallow privileged containers by default.
- Quota storage, ingress, and egress, not just CPU and memory.
- Monitor per-tenant usage and chargeback so cost and abuse are visible.
常见问题
Is namespace isolation enough for hostile tenants?
No, use sandboxed runtimes and separate nodes for untrusted workloads.
Does multi-tenancy save money?
Usually yes through higher utilization, but it adds operational complexity.
What is the hardest part?
Network and storage isolation, since defaults are shared.
Can I mix trusted and untrusted tenants?
Yes, but only with strong sandboxing and separate node pools.
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