Real-World Implementation Plan
How to move from MVP to live business platform.
1. Read-only connectorsConnect AWS, Azure, GCP, Kubernetes, GitHub, Terraform, Prometheus, Loki, PagerDuty, Slack and Jira without write access.
2. Knowledge graphLink services to repos, deploys, workloads, cloud resources, costs, alerts, owners and tickets.
3. AI investigationAnswer what happened, what changed, where it failed, who owns it and what rollback is safest.
4. Safe actionsCreate GitHub PRs, Jira tickets, Slack updates and PagerDuty notes. Keep production mutation behind approvals.
5. Multi-cloud expansionAdd Azure Monitor, GCP Cloud Monitoring, AKS, GKE, Cloud Run, Azure SQL, Cloud SQL and cloud billing exports.
Production Permission Model
Start with trust. Earn automation later.
CloudRead inventory, metrics, audit logs, tags and billing. Optional write: tags, approved rollback workflow triggers and IaC-driven changes.
KubernetesRead workloads, events, nodes, HPA, ingress, configmaps and secret metadata. Optional write: approved rollout restart or rollback.
Git and CI/CDRead repos, commits, PRs, workflow logs and deployments. Optional write: create PRs, comments, rerun jobs and approved rollback workflows.
CommunicationRead incident channels and tickets. Optional write: post updates, create tickets, request approvals and add incident notes.
Next Build Steps
What I recommend implementing after this starter.
Replace mock AWS connectorUse AWS SDK: Organizations, EC2, EKS, RDS, CloudWatch, CloudTrail, IAM, Cost Explorer and ELBv2.
Add OAuth/GitHub App installLet customers install the app into selected repositories and organizations.
Add databasePersist snapshots, graph nodes, graph edges, incidents, actions, users and audit logs in PostgreSQL.
Add LLM gatewayCall OpenAI/Azure OpenAI/Anthropic with tool results and citations. Never let the LLM invent operational facts.
Add tenant authOrganizations, users, RBAC, connector credentials and audit logs.