Licensed Kubernetes Safety Specialist Final Preparation Information Masterclass | Principle | Arms-on | Labs | Full
What you’ll be taught
Use Community safety insurance policies to limit cluster degree entry
Use CIS benchmark to overview the safety configuration of Kubernetes parts (etcd, kubelet, kubedns, kubeapi)
Correctly arrange Ingress objects with safety management
Shield node metadata and endpoints
Reduce use of, and entry to, GUI parts
Confirm platform binaries earlier than deploying
Limit entry to Kubernetes API
Use Function Primarily based Entry Controls to reduce publicity
Train warning in utilizing service accounts e.g. disable defaults, reduce permissions on newly created ones
Replace Kubernetes steadily
Reduce host OS footprint (scale back assault floor)
Reduce IAM roles
Reduce exterior entry to the community
Appropriately use kernel hardening instruments reminiscent of AppArmor, seccomp
Setup applicable OS degree safety domains
Handle Kubernetes secrets and techniques
Use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)
Implement pod to pod encryption by use of mTLS
Reduce base picture footprint
Safe your provide chain: whitelist allowed registries, signal and validate pictures
Use static evaluation of person workloads (Kubernetes sources, Docker information)
Scan pictures for identified vulnerabilities
Carry out behavioral analytics of syscall course of and file actions on the host and container degree to detect malicious actions
Detect threats inside bodily infrastructure, apps, networks, knowledge, customers and workloads
Detect all phases of assault regardless the place it happens and the way it spreads
Carry out deep analytical investigation and identification of unhealthy actors inside atmosphere
Guarantee immutability of containers at runtime
Use Audit Logs to observe entry
Description
Cluster Setup
- Use Community safety insurance policies to limit cluster degree entry
- Use CIS benchmark to overview the safety configuration of Kubernetes parts (etcd, kubelet, kubedns, kubeapi)
- Correctly arrange Ingress objects with safety management
- Shield node metadata and endpoints
- Reduce use of, and entry to, GUI parts
- Confirm platform binaries earlier than deploying
Cluster Hardening
- Limit entry to Kubernetes API
- Use Function Primarily based Entry Controls to reduce publicity
- Train warning in utilizing service accounts e.g. disable defaults, reduce permissions on newly created ones
- Replace Kubernetes steadily
System Hardening
- Reduce host OS footprint (scale back assault floor)
- Reduce IAM roles
- Reduce exterior entry to the community
- Appropriately use kernel hardening instruments reminiscent of AppArmor, seccomp
Reduce Microservice Vulnerabilities
- Setup applicable OS degree safety domains
- Handle Kubernetes secrets and techniques
- Use container runtime sandboxes in multi-tenant environments (e.g. gvisor, kata containers)
- Implement pod to pod encryption by use of mTLS
Provide Chain Safety
- Reduce base picture footprint
- Safe your provide chain: whitelist allowed registries, signal and validate pictures
- Use static evaluation of person workloads (e.g.Kubernetes sources, Docker information)
- Scan pictures for identified vulnerabilities
Monitoring, Logging and Runtime Safety
- Carry out behavioral analytics of syscall course of and file actions on the host and container degree to detect malicious actions
- Detect threats inside bodily infrastructure, apps, networks, knowledge, customers and workloads
- Detect all phases of assault regardless the place it happens and the way it spreads
- Carry out deep analytical investigation and identification of unhealthy actors inside atmosphere
- Guarantee immutability of containers at runtime
- Use Audit Logs to observe entry
Content material
Introduction
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