Run OpenClaw agents for Terraform infra and GitOps from Telegram
Several OpenClaw agents with separate identities set up Terraform infrastructure, did coding work, code reviews, merges and built a CD and GitOps system. Task: Suggested implementation: Deploy multiple OpenClaw agents, each with distinct Google Workspace emails, Git accounts, and EC2 instances. Configure agents to assume AWS roles in a development account and use self-hosted Redis pub/sub for coordination. Agents handle Terraform repos, coding, reviews, merges, and CD/GitOps system construction, while humans oversee approvals and strategic direction.; tools: OpenClaw. Human role: The original post does not say how a person stayed involved.; limitations: Prerequisites include separate cloud identities, AWS role permissions, and Redis infrastructure. Key constraints involve model cost and reliability; expensive models may be unsustainable, while cheaper alternatives might fail complex tasks. Human approval is required for all production deployments and cost overruns..
Tools
Published on Agent Work Atlas:
Overview
Several OpenClaw agents with separate identities set up Terraform infrastructure, did coding work, code reviews, merges and built a CD and GitOps system.
Workflow
Suggested implementation: Deploy multiple OpenClaw agents, each with distinct Google Workspace emails, Git accounts, and EC2 instances. Configure agents to assume AWS roles in a development account and use self-hosted Redis pub/sub for coordination. Agents handle Terraform repos, coding, reviews, merges, and CD/GitOps system construction, while humans oversee approvals and strategic direction.
Reported result
Actual outcomes are unknown due to source truncation and access errors. Proposed acceptance check: Verify that agents successfully complete a small Terraform module deployment and code merge within a defined timeframe without human intervention, while maintaining cost efficiency below a specified threshold.
Human role
The original post does not say how a person stayed involved.
Limitations
Prerequisites include separate cloud identities, AWS role permissions, and Redis infrastructure. Key constraints involve model cost and reliability; expensive models may be unsustainable, while cheaper alternatives might fail complex tasks. Human approval is required for all production deployments and cost overruns.
Try it
Act as an infrastructure automation engineer. I need to set up a pilot for OpenClaw agents to manage Terraform infrastructure. Inputs: - Target AWS account ID: [replaceable_aws_account_id] - Terraform repository URL: [replaceable_repo_url] - Redis connection string: [replaceable_redis_url] - Budget cap per task: [replaceable_budget_cap] Steps: 1. Configure three OpenClaw agents with unique Google Workspace emails and Git identities. 2. Set up EC2 instances for each agent and configure AWS role assumption for the development account. 3. Establish Redis pub/sub channels for task coordination. 4. Assign a small, non-critical Terraform module update to the agents. 5. Monitor the agents' progress through the Redis logs and Git commits. Deliverables: - A report detailing the agents' coordination steps. - The resulting Terraform code changes and merge status. - A cost analysis of the model usage. Quality Measurement: - Success is defined by the agents completing the task without human code intervention. - Failure is defined by cost exceeding the cap or incomplete tasks. Safeguards: - Perform a dry run on a sandbox environment first. - Require human confirmation before merging any code to the main branch. - If inputs are missing, ask for the specific AWS account ID and repository URL before proceeding.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.