We use Pulumi Enterprise with the Python runtime to provision our Azure platform. The client was using Azure platform to create or manage the resources. We started providing them solutions with Pulumi Enterprise and it worked very well because it was managing the managed identities, the DB containers, and the Key Vault access, event hub, and all kinds of these layers. This was incorporated in Pulumi Enterprise. This was our main case for provisioning the infrastructure for our client with the help of Pulumi Enterprise.
Senior Software Engineer at a consultancy with 11-50 employees
Real User
Top 10
Sep 7, 2026
My main use case for Pulumi Enterprise is to deploy resources to our main project called MIA, which is basically an AI assistant. We use resources from AWS, including S3, EC2, ECS, ECR, Lambda, SNS, SQS, and others. For example, we have a notifier service where we have a Lambda worker that sends messages to an SQS queue, and with this, we have a consumer that sends WhatsApp messages and SMS messages to our customers. We are using Pulumi Enterprise with our AI assistant, which is Cloud Code. We encountered some difficulties integrating this with our code assistant, so I believe it could be easier to integrate. I remember a time when Cloud Code made a mistake in the documentation, creating a non-existent parameter and props, which is a common issue I see during my workflow.
Senior Dev Ops Engineer at a manufacturing company with 10,001+ employees
Real User
Top 5
Aug 20, 2026
My main use case for Pulumi Enterprise is that it is an infrastructure as code tool. We're slowly importing legacy infrastructure and creating all new infrastructure with Pulumi. A quick specific example of how I'm using Pulumi Enterprise in my infrastructure is that we provision all AWS resources and generally all cloud resources with Pulumi, including SSO, EKS cluster, databases, and everything. Everything is managed by Pulumi. Something unique about my use case with Pulumi Enterprise is how it manages secrets. It's quite convenient as it is able to encrypt secrets right in the repository with a KMS key. Additionally, AI works quite well with Pulumi. It helps generate code and it works well for the development team. They prefer it much more than Terraform. It is more aligned with what they see daily, making it a more developer-friendly toolset.
DevOps & Platform Engineer at a financial services firm with 11-50 employees
Real User
Top 5
Jun 30, 2026
I use Pulumi Enterprise to manage infrastructure, specifically cloud-based infrastructure. I manage infrastructure, SSO and security, create infrastructure and secure it, manage identity and access, and manage configuration in cloud or multi-cloud environments.
My main use case for Pulumi Enterprise is managing and running infrastructures across my projects, specifically cloud infrastructure. For example, my product, Resume AI, has multiple stacks, and I use Pulumi Enterprise to check my deployments to ensure that everything is running smoothly and to add members to the group so that they can monitor their deployments as well.
General Manager at a manufacturing company with 10,001+ employees
Real User
Top 5
Dec 22, 2025
My main use case for Pulumi Enterprise is that our platform and DevOps engineering teams use it to support multiple application teams. A specific example of how our platform and DevOps teams use Pulumi Enterprise is that we implemented it using Python and TypeScript to define infrastructure for one of our customers. Infrastructure code is version-controlled, tested, and structured as application code, improving readability and reuse. Additionally, my main use case for Pulumi Enterprise includes building reusable Pulumi components for common patterns such as VPCs, IAM roles, and container platforms in our AWS cloud.
Pulumi Enterprise empowers organizations with advanced infrastructure-as-code capabilities designed to enhance cloud adoption strategies, optimizing IT operations efficiently.
Pulumi Enterprise leverages infrastructure-as-code to aid teams in deploying and managing cloud resources seamlessly. It supports multiple cloud providers, allowing for consistent deployment strategies across platforms while promoting collaboration. Its focus on security, automation, and policy enforcement aims to...
We use Pulumi Enterprise with the Python runtime to provision our Azure platform. The client was using Azure platform to create or manage the resources. We started providing them solutions with Pulumi Enterprise and it worked very well because it was managing the managed identities, the DB containers, and the Key Vault access, event hub, and all kinds of these layers. This was incorporated in Pulumi Enterprise. This was our main case for provisioning the infrastructure for our client with the help of Pulumi Enterprise.
My main use case for Pulumi Enterprise is to deploy resources to our main project called MIA, which is basically an AI assistant. We use resources from AWS, including S3, EC2, ECS, ECR, Lambda, SNS, SQS, and others. For example, we have a notifier service where we have a Lambda worker that sends messages to an SQS queue, and with this, we have a consumer that sends WhatsApp messages and SMS messages to our customers. We are using Pulumi Enterprise with our AI assistant, which is Cloud Code. We encountered some difficulties integrating this with our code assistant, so I believe it could be easier to integrate. I remember a time when Cloud Code made a mistake in the documentation, creating a non-existent parameter and props, which is a common issue I see during my workflow.
My main use case for Pulumi Enterprise is that it is an infrastructure as code tool. We're slowly importing legacy infrastructure and creating all new infrastructure with Pulumi. A quick specific example of how I'm using Pulumi Enterprise in my infrastructure is that we provision all AWS resources and generally all cloud resources with Pulumi, including SSO, EKS cluster, databases, and everything. Everything is managed by Pulumi. Something unique about my use case with Pulumi Enterprise is how it manages secrets. It's quite convenient as it is able to encrypt secrets right in the repository with a KMS key. Additionally, AI works quite well with Pulumi. It helps generate code and it works well for the development team. They prefer it much more than Terraform. It is more aligned with what they see daily, making it a more developer-friendly toolset.
I use Pulumi Enterprise to manage infrastructure, specifically cloud-based infrastructure. I manage infrastructure, SSO and security, create infrastructure and secure it, manage identity and access, and manage configuration in cloud or multi-cloud environments.
My main use case for Pulumi Enterprise is managing and running infrastructures across my projects, specifically cloud infrastructure. For example, my product, Resume AI, has multiple stacks, and I use Pulumi Enterprise to check my deployments to ensure that everything is running smoothly and to add members to the group so that they can monitor their deployments as well.
My main use case for Pulumi Enterprise is that our platform and DevOps engineering teams use it to support multiple application teams. A specific example of how our platform and DevOps teams use Pulumi Enterprise is that we implemented it using Python and TypeScript to define infrastructure for one of our customers. Infrastructure code is version-controlled, tested, and structured as application code, improving readability and reuse. Additionally, my main use case for Pulumi Enterprise includes building reusable Pulumi components for common patterns such as VPCs, IAM roles, and container platforms in our AWS cloud.