Kubernetes Deployment Workflows

Comprehensive deployment strategies using kubectl-mcp-server tools, including Argo Rollouts and Flagger for progressive delivery.

Standard Deployments

Deploy from Manifest

code

apply_manifest(manifest_yaml, namespace)

Deploy with Helm

code

install_helm_chart(
    name="my-app",
    chart="bitnami/nginx",
    namespace="production",
    values={"replicaCount": 3}
)

Scale Deployment

code

scale_deployment(name, namespace, replicas=5)

Rolling Update

code

# Update image
set_deployment_image(name, namespace, container="app", image="myapp:v2")

# Watch rollout
rollout_status(name, namespace, resource_type="deployment")

Progressive Delivery

Argo Rollouts (Recommended)

For canary and blue-green deployments with analysis:

List Rollouts

code

rollouts_list_tool(namespace)

Canary Promotion

code

# Check status first
rollout_status_tool(name, namespace)

# Promote if analysis passes
rollout_promote_tool(name, namespace)

Abort Bad Release

code

rollout_abort_tool(name, namespace)

Retry Failed Rollout

code

rollout_retry_tool(name, namespace)

See ROLLOUTS.md for detailed Argo Rollouts workflows.

Flagger Canary

For service mesh-integrated canary releases:

code

flagger_canaries_list_tool(namespace)
flagger_canary_get_tool(name, namespace)

Deployment Strategies

Strategy	Use Case	Tools
Rolling	Standard updates	`set_deployment_image`, `rollout_status`
Recreate	Stateful apps	Set strategy in manifest
Canary	Risk mitigation	`rollout_*` tools
Blue-Green	Zero downtime	`rollout_*` with blue-green

Rollback Operations

Native Kubernetes

code

rollback_deployment(name, namespace, revision=0)  # Previous
rollback_deployment(name, namespace, revision=2)  # Specific

Helm Rollback

code

rollback_helm_release(name, namespace, revision=1)

Argo Rollouts Rollback

code

rollout_abort_tool(name, namespace)  # Aborts and rolls back

Health Verification

After deployment, verify health:

code

1. get_pods(namespace, label_selector="app=myapp")
2. get_pod_metrics(name, namespace)
3. get_endpoints(namespace)  # Check service backends

Multi-Cluster Deployments

Deploy to specific clusters using context:

code

install_helm_chart(
    name="app",
    chart="./charts/app",
    namespace="prod",
    context="production-us-east"
)

install_helm_chart(
    name="app",
    chart="./charts/app",
    namespace="prod",
    context="production-eu-west"
)

Related Skills

•k8s-gitops - GitOps deployments with Flux/ArgoCD
•k8s-autoscaling - Auto-scale deployments