Pulumi ai

Come join us! Pulumi itself supports cloud providers, pulumi ai, with many individual providers having over 1, resources, and many of those resources have hundreds of properties.

Deploy a microservices backend and Pinecone vector database for semantic search. The Pulumi authoring experience is dynamic. You can generate a Pulumi program and deploy it as a template in seconds with a few simple text prompts. Then you can pair program in your IDE with an AI copilot with suggestions into the next most likely piece of infrastructure. Pulumi builds a supergraph of all your organization's infrastructure resources managed and not managed by Pulumi and the relationships between each resource e. With AI, Pulumi helps you save on costs and improve security and compliance. Pulumi provides an abstraction across all the different layers of your AI stack web framework, LLM, containers, databases, secrets, policies, configurations, etc as a simple Python library.

Pulumi ai

Why write your Pulumi programs yourself when you can have AI do it for you? Pulumi AI leverages large language models LLMs to author infrastructure as code for any architecture for any cloud in any language. We will send you limited edition swag for completion of the challenge. We will also send you an even better piece of swag if you document this via a blog post, social media, or video. Tag us on social media or email us at da pulumi. All submissions will be judged at the end of the challenge, and the best submissions there will be a few categories will receive a special prize. The challenge utilizes whatever cloud and whatever language you choose to ask Pulumi AI to write for you. Pulumi AI will do all the heavy lifting! However, in order to complete this challenge, you will need a couple things set up in advance. For this example of doing the challenge, we used the Pulumi AI website to generate a Pulumi program, and then used the Pulumi CLI to run the generated program. Then click Create new secret key.

Create a new directory and a new Pulumi python project.

Author infrastructure code using programming languages you know and love. Write statements to define infrastructure using your IDE with autocomplete, type checking, and documentation. Easy-to-use single source of truth for all configurations with guardrails. Seamlessly adopt short-lived dynamic secrets. Never have downtime over changed configurations because you can change once and have it updated everywhere.

Deploy a microservices backend and Pinecone vector database for semantic search. The Pulumi authoring experience is dynamic. You can generate a Pulumi program and deploy it as a template in seconds with a few simple text prompts. Then you can pair program in your IDE with an AI copilot with suggestions into the next most likely piece of infrastructure. Pulumi builds a supergraph of all your organization's infrastructure resources managed and not managed by Pulumi and the relationships between each resource e. With AI, Pulumi helps you save on costs and improve security and compliance. Pulumi provides an abstraction across all the different layers of your AI stack web framework, LLM, containers, databases, secrets, policies, configurations, etc as a simple Python library. Through this abstraction you can manage stacks of infrastructure as code. AI Microservices Backend Deploy a microservices backend and Pinecone vector database for semantic search. Author Code with AI.

Pulumi ai

Come join us! Pulumi itself supports cloud providers, with many individual providers having over 1, resources, and many of those resources have hundreds of properties. This adds up to millions of configurable properties across the entire surface area! Thank heavens Pulumi provides a consistent programming model for the community. One of the constant challenges for teams working in the cloud is finding specific examples that cover the set of cloud infrastructure resources and configurations that they require. By far, the most common question that we see in our Pulumi Community Slack is from users looking for an example covering a specific use case — and while many times we can point them to one of the thousands listed in our Pulumi Examples repository or enumerated in the Pulumi Registry , there are also times that the specific combination of technologies that a user needs have not yet been captured and stored.

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Giving AI-based tools and agents the ability to access things like cloud resource search , the ability to run operational CLI commands inside target environments , policy definition , and the opportunity to trigger deployment workflows will empower these tools to support and ultimately automated broad classes of cloud infrastructure management tasks. Both of these highlight ready-to-deploy cloud architectures for running an AI application in a production environment. This integration delivers an incredible experience. There is no way around the fact that devops is complicated but PulumiCorp is a game changer for me. Sign up for our newsletter. The Pulumi AI website is fantastic for learning and discovery and the end result is optimized to show how Pulumi code might look. Using Terraform for my current use case would be a massive downgrade. As patterns continue to solidify around common architectures, higher-level infrastructure components will abstract away some of this production infrastructure complexity, initially within organizations, and then in public components shared in the Pulumi Registry and elsewhere. Author infrastructure code using programming languages you know and love. As these AI applications transition from prototypes to production deployment, their infrastructure needs are growing and maturing. Instead of having to create every possible example by hand, users can just ask Pulumi AI to generate an example that suits their unique needs, no matter how specific and bespoke the request might be. Somewhat enjoying provisioning a scheduled run of a Lambda. All submissions will be judged at the end of the challenge, and the best submissions there will be a few categories will receive a special prize. Panther logo White.

Author infrastructure code using programming languages you know and love.

The developer experience of Pulumi is just sublime. As these AI applications transition from prototypes to production deployment, their infrastructure needs are growing and maturing. Share this post. In this challenge, you have learned how to use Pulumi AI to generate a Pulumi program. The challenge utilizes whatever cloud and whatever language you choose to ask Pulumi AI to write for you. Through this abstraction you can manage stacks of infrastructure as code. Chat with our team. Sign up for our newsletter. Complete Your Submission. With the pulumi-ai CLI, you can iterate using only natural language, keeping your mental model abstraction out of the details, and focused only on the results - did I get the externally visible outputs I requested? Go back to pulumi.