技能 编程开发 甲骨文云容器部署编排

甲骨文云容器部署编排

v20260423
oraclecloud-deploy-integration
本技能提供完整的甲骨文云(OCI)容器部署解决方案。它支持两种主要部署路径:使用OKE(Oracle Kubernetes Engine)进行复杂的Kubernetes编排,或使用更简单的容器实例进行无服务器部署。该技能可自动化整个部署生命周期,涵盖镜像推送、集群创建及应用部署等全流程。
获取技能
245 次下载
概览

Oracle Cloud Deploy Integration

Overview

Deploy containerized applications to OCI using either OKE (Oracle Kubernetes Engine) or Container Instances. OKE provides full Kubernetes but requires 4x more config than EKS — you need a VCN, subnet, node pool, OCIR registry, and IAM policies before a single pod runs. Container Instances offer a simpler serverless alternative for workloads that don't need Kubernetes orchestration.

Purpose: Get containers running on OCI through both the full Kubernetes path (OKE) and the simpler Container Instances path, with working manifests and registry auth.

Prerequisites

  • OCI tenancy with an API signing key in ~/.oci/config
  • Python 3.8+ with pip install oci for SDK-based provisioning
  • Docker installed for building and pushing images
  • kubectl installed for OKE cluster interaction
  • Compartment OCID where resources will be created
  • VCN with subnets — at least one public and one private subnet for OKE

Instructions

Step 1: Push Container Image to OCIR

Oracle Cloud Infrastructure Registry (OCIR) is OCI's Docker-compatible registry. Auth uses an OCI auth token, not your API key:

# Generate an auth token: Console > Profile > Auth Tokens > Generate Token
# Save the token — it's only shown once

# Login to OCIR (format: {region-key}.ocir.io/{namespace})
docker login us-ashburn-1.ocir.io
# Username: {tenancy-namespace}/oracleidentitycloudservice/{email}
# Password: your auth token

# Tag and push
docker tag myapp:latest us-ashburn-1.ocir.io/{namespace}/myapp:latest
docker push us-ashburn-1.ocir.io/{namespace}/myapp:latest

Step 2: Create OKE Cluster via Python SDK

Use the OCI Python SDK to provision an OKE cluster programmatically:

import oci

config = oci.config.from_file("~/.oci/config")
container_engine = oci.container_engine.ContainerEngineClient(config)

# Create cluster
create_cluster_response = container_engine.create_cluster(
    oci.container_engine.models.CreateClusterDetails(
        name="my-oke-cluster",
        compartment_id="ocid1.compartment.oc1..example",
        vcn_id="ocid1.vcn.oc1..example",
        kubernetes_version="v1.28.2",
        options=oci.container_engine.models.ClusterCreateOptions(
            service_lb_subnet_ids=["ocid1.subnet.oc1..example-public"],
            kubernetes_network_config=oci.container_engine.models.KubernetesNetworkConfig(
                pods_cidr="10.244.0.0/16",
                services_cidr="10.96.0.0/16"
            )
        )
    )
)
cluster_id = create_cluster_response.headers["opc-work-request-id"]
print(f"Cluster creation initiated: {cluster_id}")

Step 3: Add a Node Pool

OKE clusters need at least one node pool to schedule workloads:

container_engine.create_node_pool(
    oci.container_engine.models.CreateNodePoolDetails(
        compartment_id="ocid1.compartment.oc1..example",
        cluster_id="ocid1.cluster.oc1..example",
        name="pool-1",
        kubernetes_version="v1.28.2",
        node_shape="VM.Standard.E4.Flex",
        node_shape_config=oci.container_engine.models.CreateNodeShapeConfigDetails(
            ocpus=2.0,
            memory_in_gbs=16.0
        ),
        node_config_details=oci.container_engine.models.CreateNodePoolNodeConfigDetails(
            size=3,
            placement_configs=[
                oci.container_engine.models.NodePoolPlacementConfigDetails(
                    availability_domain="Uocm:US-ASHBURN-AD-1",
                    subnet_id="ocid1.subnet.oc1..example-private"
                )
            ]
        )
    )
)

Step 4: Configure kubectl for OKE

# Install the OCI CLI and set up kubeconfig
oci ce cluster create-kubeconfig \
  --cluster-id ocid1.cluster.oc1..example \
  --file ~/.kube/config \
  --region us-ashburn-1 \
  --token-version 2.0.0

# Verify connectivity
kubectl get nodes

Step 5: Deploy to OKE

Create a Kubernetes deployment manifest with OCIR image pull secret:

# Create OCIR pull secret
kubectl create secret docker-registry ocir-secret \
  --docker-server=us-ashburn-1.ocir.io \
  --docker-username='{namespace}/oracleidentitycloudservice/{email}' \
  --docker-password='{auth-token}' \
  --docker-email='{email}'
# deployment.yaml
apiVersion: apps/v1
kind: Deployment
metadata:
  name: myapp
spec:
  replicas: 3
  selector:
    matchLabels:
      app: myapp
  template:
    metadata:
      labels:
        app: myapp
    spec:
      imagePullSecrets:
        - name: ocir-secret
      containers:
        - name: myapp
          image: us-ashburn-1.ocir.io/{namespace}/myapp:latest
          ports:
            - containerPort: 8080
          resources:
            requests:
              cpu: "250m"
              memory: "512Mi"
            limits:
              cpu: "500m"
              memory: "1Gi"
---
apiVersion: v1
kind: Service
metadata:
  name: myapp-svc
spec:
  type: LoadBalancer
  selector:
    app: myapp
  ports:
    - port: 80
      targetPort: 8080

Step 6: Container Instances (Simpler Alternative)

For workloads that don't need Kubernetes, Container Instances provide a serverless option:

import oci

config = oci.config.from_file("~/.oci/config")
ci_client = oci.container_instances.ContainerInstanceClient(config)

ci_client.create_container_instance(
    oci.container_instances.models.CreateContainerInstanceDetails(
        compartment_id="ocid1.compartment.oc1..example",
        display_name="myapp-instance",
        availability_domain="Uocm:US-ASHBURN-AD-1",
        shape="CI.Standard.E4.Flex",
        shape_config=oci.container_instances.models.CreateContainerInstanceShapeConfigDetails(
            ocpus=1.0,
            memory_in_gbs=4.0
        ),
        containers=[
            oci.container_instances.models.CreateContainerDetails(
                image_url="us-ashburn-1.ocir.io/{namespace}/myapp:latest",
                display_name="myapp"
            )
        ],
        vnics=[
            oci.container_instances.models.CreateContainerVnicDetails(
                subnet_id="ocid1.subnet.oc1..example"
            )
        ]
    )
)
print("Container Instance created")

Output

Successful completion produces:

  • A container image pushed to OCIR with proper authentication
  • Either an OKE cluster with node pool, kubeconfig, and running deployment, or a Container Instance running your application
  • OCIR pull secret configured in the Kubernetes cluster
  • A load-balanced service exposing your application

Error Handling

Error Code Cause Solution
NotAuthenticated 401 Bad auth token for OCIR or wrong API key Regenerate auth token in Console > Profile > Auth Tokens
NotAuthorizedOrNotFound 404 Missing IAM policy for container engine Add policy: Allow group Developers to manage cluster-family in compartment X
TooManyRequests 429 Rate limited on cluster operations Wait and retry — OKE control plane ops are rate-limited
ImagePullBackOff N/A Wrong OCIR secret or image path Verify docker-server, namespace, and image tag in pull secret
InternalError 500 OCI service issue Check OCI Status and retry
Node pool stuck CREATING N/A Insufficient capacity in AD Try a different availability domain or shape

Examples

Quick Container Instance deploy with OCI CLI:

# List running container instances
oci container-instances container-instance list \
  --compartment-id ocid1.compartment.oc1..example

# Get cluster kubeconfig in one command
oci ce cluster create-kubeconfig \
  --cluster-id ocid1.cluster.oc1..example \
  --file ~/.kube/config \
  --region us-ashburn-1 \
  --token-version 2.0.0 && kubectl get pods

Verify OCIR image exists:

import oci

config = oci.config.from_file("~/.oci/config")
artifacts = oci.artifacts.ArtifactsClient(config)
images = artifacts.list_container_images(
    compartment_id="ocid1.compartment.oc1..example",
    repository_name="myapp"
).data
for img in images.items:
    print(f"{img.display_name} — {img.time_created}")

Resources

Next Steps

After deployment is working, proceed to oraclecloud-observability to set up monitoring and alerting for your running workloads, or see oraclecloud-performance-tuning to optimize your shape and storage choices.

信息
Category 编程开发
Name oraclecloud-deploy-integration
版本 v20260423
大小 4.48KB
更新时间 2026-04-28
语言