保护 Kubernetes 网络流量
学习保护 Kubernetes 集群内部及其外部网络通信的高级技术。
保护 Kubernetes 网络流量 是 CoddyKit 上的免费 Docker & Kubernetes for Developers 课时。 这是第 3 节课,共 4 节。 你可以在下方免费阅读本课时的完整内容 — 然后在浏览器中使用内置代码编辑器和全天候 AI 导师进行实践。 这是 Docker & Kubernetes for Developers 学习路径的一部分,你的进度在网页和 CoddyKit 应用中同步。 Docker & Kubernetes for Developers 课程共包含 4 节课。
本课时的部分内容尚未翻译,以英文显示。
Securing K8s Networks
Kubernetes network security is vital! It's about protecting the communication paths between your applications, inside and outside the cluster.
Without proper controls, malicious actors could gain unauthorized access, steal data, or disrupt your services. We'll explore advanced techniques to lock down your network.
Network Policies Refresher
Remember Kubernetes Network Policies? They act like firewalls for your pods, controlling which pods can communicate with each other and with external endpoints.
- They are namespace-scoped.
- They define ingress (inbound) and egress (outbound) rules.
- They rely on labels to select pods.
We'll now look at more advanced ways to use them for robust security.
Default Deny for Security
A strong security practice is to implement a default deny policy. This means all network traffic is blocked by default, and you explicitly allow only what's necessary.
This minimizes the attack surface by ensuring no unintended connections are possible. It's like locking all doors and only opening the ones you need.
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: default-deny-all
namespace: my-app-ns
spec:
podSelector: {}
policyTypes:
- Ingress
- EgressControlling Outbound Traffic
While ingress rules protect against incoming threats, egress rules are crucial for controlling outbound traffic from your pods.
This can prevent data exfiltration, stop compromised pods from attacking external systems, or limit access to specific external services (like a database or API endpoint).
apiVersion: networking.k8s.io/v1
kind: NetworkPolicy
metadata:
name: allow-egress-to-db
namespace: my-app-ns
spec:
podSelector:
matchLabels:
app: webapp
policyTypes:
- Egress
egress:
- to:
- podSelector:
matchLabels:
app: database
ports:
- protocol: TCP
port: 5432Encrypting Internal Traffic
Even within your cluster, you should consider encrypting communication between pods. This is where mTLS (mutual Transport Layer Security) comes in.
mTLS ensures that both the client and server verify each other's identity using certificates, and all data exchanged is encrypted. This prevents eavesdropping and tampering.
Service Mesh & mTLS
Implementing mTLS manually across many services can be complex. A service mesh (like Istio or Linkerd) automates this for you.
It injects a 'sidecar' proxy next to each pod, handling:
- Automatic mTLS encryption.
- Fine-grained access control (who can talk to whom).
- Traffic management and observability.
Advanced Ingress Security
For traffic entering your cluster, the Ingress controller is a critical security boundary. Beyond basic TLS termination, you can enhance security:
- WAF Integration: Integrate Web Application Firewalls to protect against common web attacks (SQL injection, XSS).
- IP Whitelisting: Restrict access to specific IP ranges.
- Rate Limiting: Prevent abuse and DDoS attacks.
Global Egress Control
While Network Policies control pod egress, you might need cluster-wide or external egress filtering. This can involve:
- Egress Gateways: Route all outbound traffic through a dedicated set of pods with specific firewall rules.
- Cloud Provider Firewalls: Configure network security groups or firewalls at the cloud VPC level to restrict outbound connections from your worker nodes.
Logical Network Segmentation
Network segmentation involves dividing your Kubernetes cluster into isolated logical zones. This limits the blast radius if one part of your application is compromised.
- Separate namespaces for different environments (dev, staging, prod).
- Separate namespaces for different applications or teams.
- Apply strict Network Policies between these segments.
Securing K8s Networks Quiz
Test your knowledge on securing network traffic in Kubernetes.
Secure Network Recap
Great job! You've learned advanced techniques to secure network traffic in Kubernetes:
- Implementing default deny and egress Network Policies.
- Leveraging mTLS and service meshes for internal encryption.
- Enhancing Ingress and Egress security.
- Practicing network segmentation.
These practices are crucial for building robust and secure cloud-native applications. Keep exploring the security features of your chosen CNI and service mesh!
用 AI 导师学习 Docker & Kubernetes for Developers — 免费
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- 课程
- 12
- 课程
- 48
常见问题解答
「保护 Kubernetes 网络流量」课时是免费的吗?
是的 — 「保护 Kubernetes 网络流量」的完整文本可在网页上免费阅读。要进行交互式练习(内置代码编辑器和全天候 AI 导师)并解锁 Docker & Kubernetes for Developers 课程的其余内容,请升级到 CoddyKit PRO。 Docker & Kubernetes for Developers 课程共包含 4 节课。
「保护 Kubernetes 网络流量」这节课中我会学到什么?
学习保护 Kubernetes 集群内部及其外部网络通信的高级技术。 你通过在浏览器中直接运行的动手代码来练习 Docker & Kubernetes for Developers,全天候 AI 导师会在你学习这节课的过程中回答你的问题。
学习 Docker & Kubernetes for Developers 需要有经验吗?
无需任何先前经验。CoddyKit 上的 Docker & Kubernetes for Developers 课程适合初学者到高级学习者,你可以从这里开始或从头开始,按照自己的节奏学习。 这是第 3 节课,共 4 节。
「保护 Kubernetes 网络流量」课时需要多长时间?
大多数 CoddyKit 课程大约需要 5–10 分钟。每节课都很精短且互动,所以你能稳步进步,并在网页和应用中从离开的地方继续。
我能在这节 Docker & Kubernetes for Developers 课中编写并运行代码吗?
能。每节 Docker & Kubernetes for Developers 课都包含内置代码编辑器,你可以在浏览器中直接编写并运行真实代码,并获得即时 AI 反馈 — 无需本地设置。
此课程中的所有课时
- 基于角色的访问控制(RBAC)
- Pod 安全与镜像扫描
- 保护 Kubernetes 网络流量
- 使用外部密钥存储安全管理 Secrets