dmzoneill Scale Deployment
Scale deployment to desired replicas and monitor rollout. Uses devops persona (k8s tools).
Inputs
| Input | Type | Default | Purpose |
|---|---|---|---|
deployment |
string | required | Deployment name |
replicas |
int | required | Desired replica count |
namespace |
string | tower-analytics-stage | Kubernetes namespace |
environment |
string | stage | stage, production, ephemeral |
wait |
bool | true | Wait for rollout to complete |
Workflow
1. Load Persona
persona_load("devops")
2. Get Current State
kubectl_get_deployments(namespace="{{ namespace }}", environment="{{ environment }}")- Parse for deployment name; extract current replicas and ready count
3. Scale
kubectl_scale(resource="deployment/{{ deployment }}", replicas="{{ replicas }}", namespace="{{ namespace }}", environment="{{ environment }}")
4. Monitor (if wait)
kubectl_rollout_status(resource="deployment/{{ deployment }}", namespace="{{ namespace }}", environment="{{ environment }}")
5. Post-Scale
kubectl_get_deployments(namespace="{{ namespace }}", environment="{{ environment }}")kubectl_get_pods(namespace="{{ namespace }}", environment="{{ environment }}")- Count pods for this deployment
6. Optional: Verify Environment
skill_run("environment_overview", '{"namespace": "{{ namespace }}", "environment": "{{ environment }}"}')
7. Error Recovery
- "unauthorized" →
kube_login(cluster="stage" or "prod") - "deployment not found" →
kubectl_get_deployments()to list available
8. Memory
memory_session_log("Scaled deployment", "{{ deployment }} {{ from }} → {{ replicas }}")
Output
Report: deployment, namespace, before/after replicas, rollout status, pod counts, and rollback command if needed.