Kubernetes Security

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Kubernetes Security Consulting & Cluster Hardening

Hands-on Kubernetes security consulting for teams that need clearer access boundaries, safer workloads, and practical cluster hardening.

Kubernetes Security That Supports Delivery

Kubernetes security is not a checklist added after deployment. It is a set of operational controls that lets teams ship while reducing unnecessary access, exposure, and recovery risk. I work directly with engineering teams to review the current state, prioritize the gaps that matter, and implement practical improvements.

Areas of Focus

  • Identity and RBAC — least-privilege roles, service accounts, namespace boundaries, and removal of overly broad access
  • Workload security — Pod Security Standards, security context, capabilities, and safer workload defaults
  • NetworkPolicy — default-deny baselines and explicit service-to-service traffic rules
  • Secrets — storage, access patterns, rotation considerations, and workload consumption
  • Ingress and TLS — exposed endpoints, certificate management, rate limiting, and secure ingress configuration
  • Image and admission controls — image scanning workflow, policy checks, and controls that fit the delivery process
  • Cluster hardening — Kubernetes configuration, exposed services, and cloud/Kubernetes platform controls where they are in scope

How the Work Starts

For many teams, the best first step is the fixed-price Kubernetes Cluster Audit. It provides an independent assessment, severity-ranked findings, and practical recommendations in 3–5 business days for $500. That gives you a concrete security and production-readiness baseline before deciding on remediation work.

Who This Is For

Teams running production workloads on EKS, GKE, AKS, or self-managed Kubernetes that need confidence in their access model, network boundaries, workload configuration, and operational controls. It is also useful when security work has accumulated as a backlog without a clear order of operations.

Related Kubernetes Work

Security is strongest when it is part of the operating model. See Kubernetes Consulting for broader reliability and platform work, or Kubernetes Observability & Monitoring for the signals and alerts that help teams operate safely.

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