executing-plans
executing-plans
Use when executing an implementation plan in the current session as the implementer yourself — your human partner chose inline execution, or no subagent tool is available
gcp-cloud-dnsManages DNS with health checks, traffic routing, and low-latency resolution
Independent GitHub snapshot · Automated classification · Original documentation governs
name: gcp-cloud-dns compatibility: opencode completeness: 95 content-types:
Deploy and manage google cloud dns infrastructure as part of your cloud-native environment.
Use google cloud dns when:
Avoid google cloud dns when:
Primary Purpose: Provide cloud infrastructure for modern application deployments.
Common Use Cases:
# Reference: Configure for high availability
# - Enable redundancy across availability zones
# - Set up automatic failover
# - Configure load balancing
# - Enable automated backups
# Reference: Implement security best practices
# - Enable encryption at rest and in transit
# - Configure network security controls
# - Implement identity and access management
# - Enable audit logging
Enable comprehensive observability:
Implement defense-in-depth:
Connect with platform services:
Problem: No visibility into resource health and performance.
Solution:
Problem: Resources exposed to unauthorized access.
Solution:
Problem: Data loss with no recovery option.
Solution:
Problem: Service outage from single resource failure.
Solution:
| Category | Best Practice |
|---|---|
| Availability | Enable high availability and auto-scaling |
| Security | Enforce IAM, encryption, and network controls |
| Monitoring | Enable comprehensive observability |
| Backups | Automated backups with regular testing |
| Cost | Right-size resources and monitor spending |
| Skill | Purpose |
|---|---|
cncf-gcp-vpc | Related infrastructure service |
cncf-gcp-cloud-load-balancing | Related infrastructure service |
cncf-gcp-cloud-monitoring | Related infrastructure service |
cncf-gcp-compute-engine | Related infrastructure service |
Assess Requirements — Understand the use case, scale, integration needs, and existing infrastructure. Checkpoint: Document requirements, constraints, and success criteria.
Design Architecture — Plan component interactions, data flow, and deployment strategy using cloud-native best practices. Checkpoint: Verify the architecture addresses all requirements and follows CNCF conventions.
Implement & Configure — Create manifests, configurations, and deployment scripts. Include resource limits, health checks, and observability hooks. Checkpoint: Validate all YAML against schema and test in a staging environment.
Deploy & Monitor — Apply manifests to the cluster, verify component health, and confirm observability is working. Checkpoint: Confirm all pods/services are running, probes passing, and metrics/alerts configured.
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