Use Cases

A complete walk-through of five DevOps use cases in one platform: troubleshoot a production incident in minutes, push Terraform changes via a PR workflow, let developers spin up sandboxed environments on their own, run a team cost-optimization project with AI-generated tasks, and hit SOC 2 / HIPAA / FedRAMP compliance automatically. Setup walks through connecting cloud accounts, assembling a skills library into personas, and granting teams scoped access with RBAC.

Connect your Git repository and Terraform code to DuploCloud — the platform reads your state files, maps your live resources, and detects drift automatically. Ask the AI to create or change resources: it edits the right Terraform files, opens a GitHub PR, and applies the changes once merged. Manual changes made directly in AWS are surfaced immediately.

Watch DuploCloud's AI handle real DevOps requests from start to finish — answering infrastructure questions, diagnosing issues, and executing multi-step changes across cloud and Kubernetes environments. The agent works across all your connected providers without needing a human to coordinate each step.

Engineers create a Jira ticket and DuploCloud takes it from there — provisioning infrastructure, deploying services, or resolving incidents without anyone leaving their existing workflow. Watch the two systems stay in sync so every DevOps action is automatically tracked and visible in Jira.

DuploCloud connects to your GRC tool, reads open compliance findings, and automatically remediates them across your cloud infrastructure. Watch it assess the current state, apply the right controls, and report results back — turning a manual audit cycle into a continuous, automated workflow.

Describe what you want to monitor in plain English and DuploCloud builds the dashboard — pulling data from your cloud accounts, Kubernetes clusters, and cost allocation tags automatically. AI for creating a dashboard with cached queries. No token usage during runtime

Developers type a request in Slack — spin up an environment, scale a service, check deployment status — and DuploCloud's AI executes it directly. Watch how engineering teams skip the DevOps ticketing queue entirely and get cloud work done without ever leaving the tools they already use.

Write infrastructure as code in your GitHub repo and trigger a GitHub Action — DuploCloud's agent handles provisioning end-to-end. Watch it deploy a full network, then pick up a change request to add an S3 gateway endpoint, all without leaving your codebase.

Provision a full stack — network, EKS cluster, node groups, namespaces — then deploy a microservice from the UI. When the container hits a crash loop, the AI agent diagnoses the broken nginx config, opens a GitHub PR with the fix, and confirms the service is healthy once the new image is deployed. Use APIs for ephemeral environments