80 kubernetes for ai services
In this section
- Build Your Kubernetes SkillCreate your Kubernetes deployment skill in one prompt, then learn to improve it throughout the chapter
- JIT Chapter 80: Kubernetes for AI ServicesBuild your Kubernetes skill first, then learn to understand and refine it into a production-ready asset
- Kubernetes Architecture and the Declarative ModelKubernetes is a distributed operating system for containers.
- Enabling Kubernetes (Docker Desktop)Docker Desktop includes a built-in Kubernetes cluster that uses the identical API and architecture as production Kubernetes.
- Pods: The Atomic UnitA Pod is the smallest deployable unit in Kubernetes—one or more containers that share network and storage.
- Deployments: Self-Healing at ScaleA Deployment is a controller that manages Pods at scale with zero downtime.
- Services and Networking: Stable Access to Dynamic PodsServices solve the Pod ephemerality problem.
- Namespaces: Virtual Clusters for AI WorkloadsNamespaces are virtual cluster partitions that enable multi-tenancy on a single cluster.
- ConfigMaps and SecretsConfigMaps and Secrets decouple configuration from container images.
- Resource Management and DebuggingResource requests and limits drive Kubernetes scheduling and eviction decisions.
- Horizontal Pod Autoscaler for AI AgentsHorizontal Pod Autoscaler (HPA) automatically scales Pod replicas up and down based on metrics (CPU, memory, or custom).
- RBAC: Securing Your Agent DeploymentsRole-Based Access Control (RBAC) restricts what Pods can do by connecting ServiceAccounts (identity) to Roles (permissions) via RoleBindings.
- Health Checks: Liveness, Readiness, Startup ProbesThree health probe types answer different questions: Readiness (is this Pod ready for traffic?), Liveness (is this Pod still alive?), Startup (is initialization complete?).
- Jobs and CronJobs: Batch Workloads for AI AgentsDeployments keep your AI agent running forever.
- AI-Assisted Kubernetes with kubectl-aikubectl-ai bridges natural language intent to Kubernetes operations—describe what you want, it generates manifests or commands.
- Capstone: Deploy Your Part 6 Agent to KubernetesSpecification-first deployment: write what you're building and why before generating manifests.
- Test and Refine Your Kubernetes SkillValidate skill transferability by applying the Kubernetes skill (built in Lesson 0, refined through Lessons 1-14) to a different application type.
- Init Containers (Optional)Init containers run before application containers and must complete successfully before the app starts.
- Sidecar Containers (Optional)Sidecars are helper containers that run in the same Pod as your main app, handling operational concerns independently.
- Ingress: External Access (Optional)Ingress exposes HTTP and HTTPS routes from outside the cluster to services within it.
- Service Discovery Deep Dive (Optional)Service discovery is how Kubernetes translates service names (api.services.svc.cluster.local) into IP addresses.
- StatefulSets (Optional)StatefulSets guarantee stable Pod identity (pod-0, pod-1, pod-2 remain the same across restarts) and ordered lifecycle (startup and shutdown happen sequentially), making them essential for stateful.
- Persistent Storage (Optional)PersistentVolumes (PVs) and PersistentVolumeClaims (PVCs) decouple storage from container instances, allowing data to survive Pod restarts.
- Kubernetes Security Deep Dive (Optional)Production-grade security requires multiple layers: non-root execution (SecurityContext), read-only filesystems (emptyDir for writable paths), network isolation (NetworkPolicies), and image scanning.