Sold by: Pulumi
Deployed on AWS
Pulumi is the AI-native infrastructure platform. Cloud engineering teams define, deploy, and manage cloud infrastructure as code using general-purpose programming languages like Python, TypeScript, Go, C#, and Java so infrastructure evolves the same way software does and speaks the same language as AI coding agents. Pulumi works across AWS and hundreds of cloud and service providers.
4.6
Overview
Pulumi is the AI-native infrastructure platform, built for engineering teams who need cloud infrastructure to move at the speed of software development. With Pulumi, teams can define, deploy, and manage cloud infrastructure as code using general-purpose programming languages including Python, TypeScript, Go, C#, and Java, with full software engineering practices including loops, functions, tests, packages, and IDE support. One workflow delivers and secures infrastructure and applications on any cloud, public, private, or hybrid, across AWS and hundreds of integrated cloud and service providers.
Pulumi Neo, Pulumi's AI infrastructure agent, works inside your existing workflows to accelerate Terraform migrations, enforce policy, and manage multi-cloud deployments - proposing changes, running previews, responding to failures, and opening PRs in tight feedback loops, all while respecting your RBAC roles, policies, and human-in-the-loop approvals.
Pulumi's Enterprise Edition brings the platform to your entire organization for easier collaboration and governance across teams. Features include:
- State, secrets, and composable configuration (Pulumi ESC), with dynamic, short-lived credentials
- CI/CD integrations including AWS CodePipeline, GitHub Actions, GitLab CI, and more
- Role-based access control (RBAC) with unlimited teams and users
- SAML/single sign-on (SSO)
- Audit logs and drift detection
- Insights & governance: multi-cloud resource search and policy-as-code enforcement
- Developer self-service via reusable components exposed through code, low-code, or no-code interfaces
- Fully interoperable with Terraform and OpenTofu, with first-class support for HashiCorp Configuration Language (HCL)
For custom pricing, Business Critical features like advanced policy as code, compliance, SCIM, 24x7 support, self-hosted Pulumi, or private contracts, contact hello+aws@pulumi.com .
Highlights
- Learn how Pulumi can accelerate your infrastructure projects on AWS: https://www.pulumi.com/case-studies/supabase
- Want volume pricing? Contact us at hello+aws@pulumi.com for a private offer
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Buyer guide
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Pricing
Pricing is based on the duration and terms of your contract with the vendor, and additional usage. You pay upfront or in installments according to your contract terms with the vendor. This entitles you to a specified quantity of use for the contract duration. Usage-based pricing is in effect for overages or additional usage not covered in the contract. These charges are applied on top of the contract price. If you choose not to renew or replace your contract before the contract end date, access to your entitlements will expire.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/12 months |
|---|---|---|
Pulumi Enterprise | 2500 Resources, 15 team members w/ 12x5 support (21.9M Pulumi Credits) | $32,850.00 |
Dimension | Cost/unit |
|---|---|
100K Additional Pulumi Credits (1 Credit = 1 Resource/Hour) | $300.00 |
Dimensions summary
You buy Pulumi Cloud through two contract dimensions. The Pulumi Enterprise unit is the base subscription. It covers 2,500 resources, 15 team members, and 12x5 support, funded by a pool of 21.9M Pulumi Credits. One credit equals one resource managed for one hour. The second dimension adds 100K Pulumi Credits when your usage exceeds the base pool. Buy as many credit packs as you need to extend capacity. Credits meter all usage, so the add-on scales your subscription without changing the base plan.
Top-of-mind questions for buyers
A resource is anything declared in a Pulumi program. This includes provider resources like a storage bucket, component resources that group several resources like a managed cluster, and stacks such as dev, test, and prod. Each managed resource draws one credit per hour, with partial hours billed as full hours.
Once you use up the included credits, buy 100K Additional Pulumi Credit packs to extend capacity. Each pack adds 100,000 credits, where one credit covers one resource for one hour. You can add as many packs as your usage needs without changing the base Enterprise subscription.
Credits are the single currency for all Pulumi Cloud usage. They meter managed IaC resources, ESC secrets, secret API calls beyond included amounts, workflow minutes, and AI token consumption. Every service draws from the same credit pool at its own rate, so mixed usage all reduces one shared balance.
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Delivery details
Software as a Service (SaaS)
SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.
Support
Vendor support
Basic Support is available Monday - Friday during normal business hours. To open a support ticket or view service status, please visit https://support.pulumi.com . Contact us at hello+aws@pulumi.com for Enterprise support options.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Updated weekly
By Pulumi
By Spacelift Inc.
Top
10
In Testing, Infrastructure as Code
Top
10
In Software Development, Infrastructure as Code, Continuous Integration and Continuous Delivery
Top
50
In High Performance Computing
Sentiment is AI generated from actual customer reviews on AWS and G2
Functionality
Ease of use
Customer service
Cost effectiveness
Positive reviews
Mixed reviews
Negative reviews
AI generated from product descriptions
Infrastructure as Code with General-Purpose Languages
Define, deploy, and manage cloud infrastructure using Python, TypeScript, Go, C#, and Java with full software engineering practices including loops, functions, tests, packages, and IDE support.
Multi-Cloud Provider Support
Works across AWS and hundreds of integrated cloud and service providers with support for public, private, and hybrid cloud deployments.
AI-Powered Infrastructure Agent
Pulumi Neo AI infrastructure agent accelerates Terraform migrations, enforces policy, manages multi-cloud deployments, proposes changes, runs previews, responds to failures, and opens pull requests while respecting RBAC roles and policies.
Enterprise Governance and Access Control
Role-based access control (RBAC) with unlimited teams and users, SAML/single sign-on (SSO), audit logs, drift detection, and policy-as-code enforcement for multi-cloud resource management.
Secrets and Configuration Management
State, secrets, and composable configuration through Pulumi ESC with dynamic, short-lived credentials and CI/CD integrations including AWS CodePipeline, GitHub Actions, and GitLab CI.
Infrastructure as Code Orchestration
Supports orchestration of multiple IaC tools including Terraform, OpenTofu, CloudFormation, Pulumi, and Ansible for unified infrastructure provisioning and configuration management.
Policy and Governance Framework
Implements automated drift detection and remediation, custom policy definitions, Golden Paths, and integration with third-party security vulnerability scanning tools for compliance enforcement.
Natural Language Infrastructure Provisioning
Provides AI-powered infrastructure assistant enabling developers to understand, design, deploy, and govern infrastructure using plain language queries and requests through LLM integration.
Multi-Tool Workflow Integration
Combines infrastructure as code provisioning, Ansible configuration management, Kubernetes container orchestration, and governance policies into unified workflows with dependency management and shareable outputs.
No-Code AI Deployment Model
Offers Intent feature enabling developers to request infrastructure through natural language without requiring IaC expertise, translating requests into governed infrastructure actions with consistent policies and credentials.
System Configuration and Software Deployment
Configures systems, deploys software, and orchestrates advanced workflows across enterprise infrastructure and AWS cloud environments
AWS Service Integration
Includes full Ansible collection for AWS with native integrations for EC2, CloudFormation, VPC, ALB, AMI, Security Groups, key pairs, EFS, EBS, S3, RDS, Lambda, and AWS Secrets Manager
Multi-Environment Orchestration
Extends automation capabilities across private clouds, on-premise datacenters, edge locations, and hybrid cloud environments from AWS deployment
Red Hat OpenShift Deployment Support
Supports installation via operator on Red Hat OpenShift on AWS (ROSA) and OpenShift running directly on AWS infrastructure
Enterprise Resource Management
Provides resources to create, manage, and scale automation across entire enterprise infrastructure and AWS cloud resources
Standard contract
No
No
Customer reviews
G Srivastava
Infrastructure code has empowered cross‑team cloud provisioning and improves deployment visibility
Reviewed on Sep 08, 2026
Review provided by PeerSpot
What is our primary use case?
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.
How has it helped my organization?
Pulumi Enterprise has allowed us to be more confident in the code changes because we have many teams. For example, for development, we have a couple of teams who are working on the development applications, and then there are a couple of teams who are working continuously on the production instances. Pulumi Enterprise has helped us in the code changes that we are actually deploying and releasing. We are doing unit testing with the help of Pulumi Enterprise's infrastructure as part of the pipeline because it helped to add the Azure DevOps pipeline and it worked for the part of the CI pipeline and then we did the CD, the configuration or the continuous deployment with the help of it.
As soon as we see the changes are integrating into the pipeline and it is getting deployed and we get the GUI, proper GUI where we can simply differentiate what is actually applying or what is actually deleting from our infrastructure. This has helped significantly.
What is most valuable?
The best feature that Pulumi Enterprise offers is the deployment, running, creating the stack, managing all those stacks. For example, for development, we have an individual stack for development. For QA, we have another stack. And for production, for non-prod, for other stacks also, they have independent stacks that are totally independent on their own. Nothing is dependent on any other stack. As soon as we are deploying any changes on the development, it is going to be deployed on the development only.
The deployment checks stand out the most valuable for me because it allows me to debug my environment. For example, if I run any change in the production environment, it will give me a URL which will show a preview of what is the difference we are going to apply on our current infrastructure and what was earlier. I can share that URL with my peers, with my colleagues, and they can also see what is actually going to happen with this change. That is the most valuable thing I have personally perceived, and my other team members also feel it is a very important feature of this.
What needs improvement?
For improvement, I feel there can be other things. Sometimes I feel that the state and the stacks get large eventually and sometimes they give the output in a very long format and it is difficult to really understand what is happening on it. I feel that it can be improved by Pulumi to manage those long and large stacks.
I think the cost was very high when I had discussions with the customers. They felt that Terraform has less capability, but it is not that costly compared to Pulumi Enterprise. If the cost can be a little reduced, I think it is going to capture most of the market.
For how long have I used the solution?
I have used Pulumi Enterprise for one of my customers, and it was used only for five to six months. I have utilized my expertise for Pulumi Enterprise for six months.
What do I think about the stability of the solution?
Pulumi Enterprise is very stable.
What do I think about the scalability of the solution?
We are using the enterprise version, so it is very scalable. Many users in our company are using it and they have not faced any scalability issues till now.
Which solution did I use previously and why did I switch?
We were using Terraform, Terraform Cloud to provision all the infrastructure, but it has some limitations. Pulumi Enterprise has provided many other features which allowed our customer to change their decision to come and start using Pulumi instead of Terraform.
We were using Terraform, Terraform Cloud. There were many reasons for switching from Terraform to Pulumi. First of all, the licensing. Earlier the Terraform Cloud license was almost free, and after HashiCorp sold it to IBM, it became costly and it is not still confirmed on the licensing thing from Terraform Cloud. The second thing is that Terraform uses its own language, HCL, HashiCorp configuration language, which does not allow us to use any programming skills such as for loops or if/else statements and other languages. Pulumi is providing six languages to use and set up the infra with. These are the main features that Pulumi has also, which allows us to switch from Terraform to Pulumi.
How was the initial setup?
The setup is very easy. I would say one of the main features I think I forgot to add in my initial questions. The setup to use Pulumi Enterprise is very flawless and easy to use for any layman guy. If I give it to configure and start using Pulumi Enterprise to an intern, he will start using it in five minutes. The setup to use Pulumi Enterprise is very easy.
What was our ROI?
I would think the return on investment is that earlier only the infra guys were using any tool to deploy the infra, but in my team, I can see the development team is also encouraged and happy to use Pulumi Enterprise to configure the resources on Azure cloud because they have the programming skills and Pulumi Enterprise is providing features in their tool. I have seen the development team and the testing team who feel or want to do cross-team work, and they are very encouraged and happy to start using Pulumi Enterprise. I think that is how I can say time is being saved, and people are getting encouraged to use any infra tool to configure their infra as per their requirement. That is my experience with me and the other team members and that is what I feel as a return on investment on Pulumi Enterprise.
What's my experience with pricing, setup cost, and licensing?
The pricing I would have already confirmed is high for enterprise; otherwise, it is available free of cost also. The enterprise version is a little bit high, and the licensing and setup are totally okay and we are very happy to use them. The setup is very easy.
What other advice do I have?
If you have a complex infrastructure, start using Pulumi Enterprise. If you have a very small team to use any of these infra IAC tools, then use Terraform Cloud. Otherwise, if you have a complex infrastructure or a big team, start using Pulumi Enterprise without any second thought. It is going to give you a very good return on investment, and you will feel very happy after using it. My overall review rating is not available.
Antonio Neto
Modern automation has reduced deployment time and gives developers faster control of cloud changes
Reviewed on Sep 07, 2026
Review from a verified AWS customer
What is our primary use case?
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.
What is most valuable?
Pulumi Enterprise offers very good features. I really appreciate the access control with permissions and detailed permissions by role or team, which we use for our developer team. This is the main feature I appreciate, as there are different levels within our team. Policy management, policy as code, and audit logs are also beneficial because when a starter developer makes a mistake, we can check the audit log.
Pulumi Enterprise has positively impacted our organization by enabling fast deployments and providing a centralized configuration for our two environments, development and production. With separated stacks, we can replicate the same environment on both sides.
Before using Pulumi Enterprise, our deployment time was between thirty minutes to an hour. Now with Pulumi Enterprise, we can change anything in our cloud environment in just a few minutes, like two or three minutes. Of course, there are more complex situations that differ in time, but in general, we have reduced time by about sixty to seventy percent.
What needs improvement?
The main feature that could be improved would be better integration with AI. For instance, having an assistant in the platform, as a chat, to ask questions and make changes with this conversational model would be beneficial.
The main improvement for Pulumi Enterprise could be the integration with AI, allowing it to learn and make changes to accounts or stacks. My main concern is really the AI integration. Regarding documentation, it could be interesting to have a markdown copy button. When I go to S3 documentation or Lambda documentation, it would be great to have a copy as markdown button, as I have seen in other documentations, which is very good for providing context to AI.
Regarding Pulumi Enterprise's AI capabilities, we currently have good control over security and governance, but it is difficult to give control to AI. There is a good approach from AWS where the AI functions more as a supporter rather than a manager, acting as a consultant where you can get information and ask questions without losing control or granting high permissions to AI.
In the past year, I remember instances when Cloud Code searched for documentation from Pulumi and usually returned a non-existent parameter, which caused me to spend a lot of time finding and removing the incorrect parameter. I think it could be easier for AI to crawl documentation pages and handle such tasks.
For how long have I used the solution?
I have been using Pulumi Enterprise for two years, two and a half to be precise.
What do I think about the stability of the solution?
Pulumi Enterprise is stable, and we have never encountered any stability issues.
What do I think about the scalability of the solution?
Pulumi Enterprise offers good scalability because we can add more members and create new stacks, migrating with ease, which is beneficial for us.
Pulumi Enterprise is a very good solution for scalable teams, and we are trying to get better with this.
How are customer service and support?
To be honest, I have never required specific support, but the main, first-level support has been very good.
Which solution did I use previously and why did I switch?
We used to deploy and make infrastructure and cloud changes manually. Our process before Pulumi Enterprise was very hard and slow.
What was our ROI?
We have seen a return on investment because it is easier to make infrastructure changes, even without designated DevOps personnel. Developers can make these changes, and we save time due to these automations, allowing us to change environments in less time than we could two years ago.
What's my experience with pricing, setup cost, and licensing?
My experience regarding pricing, setup cost, and licensing has been good, without any problems. We find the situation stable and plan to continue using Pulumi Enterprise for many years.
Which other solutions did I evaluate?
I evaluated Terraform, but we chose Pulumi Enterprise as the option for us because of the programming language. We prefer using Python since our main stack here in our project is based on Python, which most developers work with, while Terraform uses a different language.
What other advice do I have?
I would advise that Pulumi Enterprise is a good option, but it is important to study and gain context before asking AI questions. It is crucial to understand what you are doing in the cloud environment, particularly regarding AWS or other providers. I would rate my overall experience with Pulumi Enterprise an eight out of ten.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
reviewer2893917
Infrastructure as code has accelerated deployments and provides full change history tracking
Reviewed on Aug 27, 2026
Review provided by PeerSpot
What is our primary use case?
My main use case for Pulumi Enterprise is as a tool for infrastructure as code. I can give you a quick, specific example of how I use Pulumi Enterprise for infrastructure as code in my day-to-day work: we provision our resources on our cloud account, on our cloud VPC through Pulumi, so everything that we run on our infrastructure is provisioned on the Pulumi repo.
Pulumi Enterprise is way better than Terraform in my opinion because it has a declarative syntax that Terraform does not have, which is really valuable.
How has it helped my organization?
Pulumi Enterprise has positively impacted my organization because everything is provisioned now as code, so we do not have to change things by hand directly on the VPC on the cloud, meaning everything has a history, which is the main point.
This shift to everything as code has led to measurable changes such as faster deployments. Deployments are faster because we already have everything in one place, so we know where to change things. The main benefit is the history: we know everything that changed and we can track everything.
What is most valuable?
The best features Pulumi Enterprise offers include reusable components because it is actual code, so we have many reusable components, and infrastructure testing in a real language.
Reusable components and infrastructure testing in a real language have helped my team a lot because we can test things before shipping it and before making changes, which is really useful. If something is going to break, we know in advance.
What needs improvement?
There is something I wish was a bit easier or more intuitive, which is the ability to bump from one version to another newer version more easily. Other than that, everything is good with Pulumi Enterprise.
For how long have I used the solution?
I have been using Pulumi Enterprise for two years.
What do I think about the stability of the solution?
Pulumi Enterprise is stable.
What do I think about the scalability of the solution?
Pulumi Enterprise's scalability is nice.
How are customer service and support?
I have never used customer support.
Which solution did I use previously and why did I switch?
I previously used Terraform, and we switched because Pulumi seems better.
How was the initial setup?
Before choosing Pulumi Enterprise, we evaluated other options, although I do not remember the names right now.
What was our ROI?
I have seen a return on investment since it saved time and reduced manual work, even though I do not have those metrics measured.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup cost, and licensing is that we use the open source version.
Zvonimir Burić
Infrastructure as code has streamlined multi-account cloud provisioning and consistent deployments
Reviewed on Aug 26, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Pulumi is provisioning cloud resources.
For provisioning cloud resources, we have repositories for basic setup for AWS account, Kubernetes resources, and network provisioning. We also have GitHub workflows that encapsulate Pulumi. When a team needs an S3 bucket or other resources such as SQS or SNS, they run our workflow in GitHub, which hides the complexity of Pulumi. They simply write a YAML file where they define what resources they need, and it performs the provisioning. All of this is in the same config file, but we have different actions handling it.
What is most valuable?
The best features Pulumi offers are that it functions as a framework inside a programming language. You can use multiple programming languages, and we use TypeScript. This gives you all the flexibility and features of the programming language you chose, such as functions and loops. You can even connect with APIs and external services to have the logic of creating and managing those resources.
Using TypeScript with Pulumi has helped my team because this flexibility enables us to connect different things. It is not static the way it is with Terraform, but rather super dynamic as it is when you program any custom code. This flexibility has helped us.
Pulumi has impacted my organization positively because before Pulumi, we did not have any real infrastructure as code, and having multiple environments and AWS accounts that we needed to manage was difficult.
I cannot quantify the positive outcomes, but we definitely have a more professional setup now than we used to have before. When we develop a feature, we know for certain that it gets from dev to stage and prod with the same infrastructure.
What needs improvement?
Pulumi has some issues worth mentioning. The stacks can grow and the execution time appears to grow exponentially when the number of resources increases. We have had to implement workarounds, such as introducing micro stacks.
I believe Pulumi could be improved by hiding the complexity of micro stacks so that users do not need to know about it. In my opinion, this is achievable because you can separate resources that are related to each other, such as parent and child resources, and the ones that are not related could be saved in a separate stack, as we are doing with micro stacks. I think this could be improved.
This is the only serious limitation of Pulumi that I have seen so far. Most of the issues I have encountered come from the providers. For example, when using AWS, there is an annoying issue of conflicts when you have both a SecurityGroup and SecurityGroupRule defined. The same applies to RouteTable and Route, creating conflicts between them.
For how long have I used the solution?
I have been using Pulumi for six years.
What other advice do I have?
Before we wrap up, I have additional thoughts about Pulumi. There is something I would mention that is not about Pulumi itself, but rather how you use it. For example, I discussed how you can connect different APIs. It is really important to do proper error handling. When you fetch things from APIs or any website, you need to perform proper error handling because if you do not do it, resources could get deleted on transient errors, such as network errors. If you fetch something and you expect a resource to be returned or you expect some information to be returned, you need to distinguish error codes. For example, not found means you can delete it, but if you have any kind of network error or an internal server error, it should definitely break the execution of Pulumi and not delete things. This is a technique, but it is not related to Pulumi itself. It is about how you use things.
If you have complex infrastructure, you should definitely use Pulumi. However, for small setups, it might be an overkill for you. If you can stay with Terraform, I see no reason why you should not.
I give this review a rating of nine.
Which deployment model are you using for this solution?
Public Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)
Thiago Chaves
Infrastructure as code has streamlined environment management and reduced operational overhead
Reviewed on Aug 24, 2026
Review from a verified AWS customer
What is our primary use case?
My main use case for Pulumi Enterprise is to store infrastructure stacks. Pulumi Enterprise is used in my organization to bring up infrastructure and store the stacks, so we have all the states there. When I want to bring up new infrastructure for a service within AWS, we use Pulumi Enterprise.
What is most valuable?
The best features that Pulumi Enterprise offers are its deployment capabilities and stack separation. The separation of environments and permission control help in my daily work because if we want to bring up a stack in production or a stack in some staging environment, we have all this separation within Pulumi Enterprise.
Pulumi Enterprise has had a positive impact on my organization by enabling better acceleration in our environment to bring things up and organize them. We can see what is happening, see the diffs within Pulumi Enterprise, and this helps us a lot with troubleshooting.
What needs improvement?
Pulumi Enterprise has a lot of good features and I don't think there's anything to improve. There isn't any detail or adjustment that could make using Pulumi Enterprise even more practical or efficient for me because it's perfect.
For how long have I used the solution?
I have been using Pulumi Enterprise for four years.
What do I think about the stability of the solution?
Pulumi Enterprise is stable because since we started working with it, we haven't had any issue with Pulumi's cloud going down.
What do I think about the scalability of the solution?
In my experience, the scalability of Pulumi Enterprise is very good and it suits us perfectly.
How are customer service and support?
Pulumi Enterprise's customer support is very good. We had a small issue, and when we needed to contact them, we got a response in less than 24 hours. I would rate customer support as a 10 on a scale from 1 to 10.
Which solution did I use previously and why did I switch?
We don't use a different solution. When I joined the company, they were already using Pulumi Enterprise, so I don't have information about evaluating other options.
What was our ROI?
We have already seen a return on investment because we had a reduction in the team. The team used to have 15 people, and today the team has seven people, so the team was cut in half. In terms of cost savings within AWS itself, we can already achieve that with Pulumi as well.
What's my experience with pricing, setup cost, and licensing?
My experience with pricing, setup costs, and licensing was very good for the team we had. For the team size, it suited us perfectly.
What other advice do I have?
The advice I would give to other people who are thinking about using Pulumi Enterprise is that the money invested is very worthwhile. I would rate this review a 10.
Which deployment model are you using for this solution?
Private Cloud
If public cloud, private cloud, or hybrid cloud, which cloud provider do you use?
Amazon Web Services (AWS)