Use Cases

Build an AI native Internal Developer Platform for your engineer teams. Fully customizable with your own skills, workflows, forms and APIs.
In this example we show case five DevOps workflows 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 built-in 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.

Let AI build and manage your infrastructure with IAC while humans play a supervisory role. The platform also shows a visual representation of the state, code base and cloud resources. It can detect drift, and reconcile them.
Build out any change with plain english request. Sit back and watch AI do the work from plan, approve to apply.
In this demo we will connect our Git repository and Terraform code to DuploCloud — the platform reads state files, maps 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.

In this demo we will connect DuploCloud to an existing infrastructure with a kubernetes deployment of an ecommerce application. We would like to get an detailed analysis of the deployment and actionable suggestions to improve the system. We also want to identify gaps and fix them to achieve compliance.
We want to follow a spec driven development approach for making these changes. AI should build a spec, get it approved by multiple users are working with the same view and finally execute the tasks with human over sight.
We will see how multiple humans and AI collaborate with a central view.

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