How Our AI Chatbot Automates Cloud Provisioning and Infrastructure Management
Our AI chatbot simplifies cloud operations by generating Infrastructure-as-Code (IaC), provisioning compute and storage resources, and managing environments across AWS, GCP, and other platforms.
Instead of manually writing Terraform scripts or configuring cloud consoles, users can simply instruct the agent — and it safely provisions, updates, or tears down resources with full observability.
Below are examples of cloud provisioning requests and how the agent handles them behind the scenes.
1. “Provision an EC2 GPU instance.”
The agent automates GPU instance setup by:
- Generating Terraform scripts with the correct instance type, AMI, security groups, and storage
- Applying the Terraform plan to launch the EC2 instance
- Validating that the GPU is available and drivers are installed
- Registering the instance in the SkyPortal UI for management
Users can get GPU-enabled compute in minutes without manually configuring the cloud console.
2. “Set up a VPC with private subnets.”
The chatbot provisions secure networking by:
- Generating IaC templates for VPC, subnets, route tables, and NAT gateways
- Applying the configuration to create a fully isolated network
- Verifying connectivity and routing
- Ensuring compliance with best practices for private/public subnet separation
This eliminates the complexity of cloud network setup.
3. “Deploy S3 + IAM role for data storage.”
The agent automates storage and access by:
- Creating S3 buckets with proper encryption and lifecycle policies
- Generating IAM roles and policies for secure access
- Connecting the buckets to ML workflows (training, logging, artifacts)
- Validating permissions and accessibility
Users can start storing and retrieving data safely without manually managing IAM policies.
4. “Tear down my cloud environment.”
The chatbot ensures safe environment destruction by:
- Inspecting all resources associated with a project
- Generating Terraform destroy plans
- Applying the destruction safely while preventing accidental deletions of unrelated resources
- Logging all actions for auditability
This allows users to decommission infrastructure without risk.
5. “Create a GKE cluster.”
The agent provisions a Google Kubernetes Engine cluster by:
- Generating GCP Terraform scripts for nodes, networking, and IAM roles
- Applying the scripts to create the cluster
- Verifying node health and cluster accessibility
- Optionally deploying default monitoring and logging
Users can have a fully configured GKE cluster ready for ML workloads without manual setup.
Security and Safety Guarantees
✔ Safe IaC execution
All Terraform plans are validated and tested before applying changes to production.
✔ Permission-aware provisioning
The agent operates within the user’s cloud IAM permissions to prevent overreach.
✔ Resource auditing
Every created, updated, or destroyed resource is logged for traceability.
✔ Rollback-ready
Destructive actions can be rolled back safely when misconfigurations are detected.
Why This Matters
Provisioning cloud infrastructure manually is time-consuming, error-prone, and requires deep expertise in Terraform, IAM, and cloud architecture.
Our chatbot removes that friction.
Whether the user wants to:
- Launch GPU instances
- Configure private networks
- Set up storage with proper permissions
- Tear down cloud environments safely
- Create Kubernetes clusters
…they can do it instantly, safely, and without manually interacting with cloud consoles.