Kubernetes Security Essentials (LFS260) + CKS Exam Bundle
Use CIS benchmark to review the security configuration of Kubernetes components (etcd, kubelet, kubedns, kubeapi)
Properly set up Ingress objects with security control
Protect node metadata and endpoints
Minimize use of, and access to, GUI elements
Verify platform binaries before deploying
Use Role Based Access Controls to minimize exposure
Exercise caution in using service accounts e.g. disable defaults, minimize permissions on newly created ones
Update Kubernetes frequently
Minimize IAM roles
Minimize external access to the network
Appropriately use kernel hardening tools such as AppArmor, seccomp
Manage Kubernetes secrets
Use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)
Implement pod to pod encryption by use of mTLS
Secure your supply chain: whitelist allowed registries, sign and validate images
Use static analysis of user workloads (e.g.Kubernetes resources, Docker files)
Scan images for known vulnerabilities
Detect threats within physical infrastructure, apps, networks, data, users and workloads
Detect all phases of attack regardless where it occurs and how it spreads
Perform deep analytical investigation and identification of bad actors within environment
Ensure immutability of containers at runtime
Use Audit Logs to monitor access
The exam is based on Kubernetes v1.19
Certified Kubernetes Security Specialist (CKS) candidates must have taken and passed the Certified Kubernetes Administrator (CKA) exam prior to attempting the CKS exam.
CKS may be purchased but not scheduled until CKA certification has been achieved.
CKA Certification must be active (non-expired) on the date the CKS exam (including Retakes) is scheduled.
Please review the Candidate Handbook, Curriculum Overview and Exam Tips along with other recommended resources below.
For hands-on lab exercises, access to a Linux server or Linux desktop/laptop is required. Access to a public cloud provider, or VirtualBox on your machine is also needed. Lab exercises in this course have been tested in a GCP environment.
If using a cloud provider like GCP or AWS, you should be able to complete the lab exercises using the free tier or credits provided to you. However, you may incur charges if you exceed the credits initially allocated by the cloud provider.