Pulumi ai

Why write your Pulumi programs yourself when you can have Pulumi 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, pulumi ai.

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. Enforce least-privileged access through role-based access controls.

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. Pulumi AI addresses this need in a direct way. 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. For example, suppose that I want to run Metabase on Azure. Most guides only describe how to point-and-click in the Azure Portal, and several of the guides are many years old and out-of-date. It could take hours to synthesize all the information on this subject and turn it into a working Infrastructure as Code solution with Pulumi. The result from my prompt is a very good, short Pulumi program that defines all of the pieces needed to run Metabase in Azure. Already, this has saved me time reading through content online, picking out a set of building block technologies to use, and figuring out how to connect them.

Pulumi developer would do pulumi ai given the same set of tasks. This means getting the code into source control, pulumi ai, setting up continuous delivery, and connecting to the configuration and secrets needed for the environment you are deploying to.

AI is impacting almost every industry today, and for good reason - we are seeing fundamentally new experiences being made possible across a wide variety of products, and a set of new AI capabilities that promise even more incredible change in the near future. Software development is among the earliest and most prominent fields to realize the benefits of AI, evidenced by the rapid adoption of tools like Github Copilot which is now one of the most heavily adopted developer tools of all time. Developers are benefiting from an incredible increase in their productivity with better scale and faster time to market. Infrastructure engineers are using Pulumi AI to discover solutions for cloud infrastructure needs, leading to a dynamic experience where you can generate solutions in seconds with a few simple prompts, and using tools like GitHub Copilot to quickly iterate on and test their infrastructure. At the same time, thousands of organizations are using Pulumi and Pulumi Cloud to manage the fundamentally cloud-native infrastructure and services available to build and scale AI-based applications - managed vector databases, elastic compute services, model serving, streaming API management services, and workflow management - all evolving at the rapid pace of the AI space, and scaling with the demand that organizations are seeing for AI. The scale of the cloud is truly incredible, and the sheer size of the AWS API is huge relative to almost any other computing platform, while AWS is just one of over cloud providers for which Pulumi supports building and managing infrastructure. The result is more than 50, infrastructure resource types that can be managed, and over 1,, configurable input properties on those resources.

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 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.

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You will need to upload a screenshot of the pulumi up output for us to verify completion. As these applications move from prototypes to production, the need for robust and scalable infrastructure to deploy these applications in the major cloud platforms is essential, and IaC offers the best way to manage this at scale. I'm so glad I made the switch two years back. Author infrastructure code using programming languages you know and love. End to end. Pulumi AI is already offering practical value for thousands of users. Finished no-code website builder. Pulumi AI will do all the heavy lifting! Take the new code generated by Pulumi AI and add it to your program. Come join us! Use Pulumi AI to generate code for your desired infrastructure — all through natural language commands.

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.

AI-based tooling is no exception, with tools like GitHub Copilot, Amazon CodeWhisperer and SourceGraph Cody changing how developers write, iterate on and test their code, including their infrastructure code in popular languages that have huge training data sets. Shout out to the team and community for helping us get up and running! Enforce least-privileged access through role-based access controls. The services to support building AI applications have all been built over the last two years around the assumption of the cloud. Code on demand with Pulumi AI Want help writing infrastructure code? Build productive platforms for both developers and operators Internal developer portals IDPs enable your developers to quickly provision security-compliant infrastructure, boost productivity with pre-configured architectures and automate testing and deployments, adhering to organizational standards. Now that you have a generated Pulumi program, you will create a new Pulumi program to run the program. You will need to upload a screenshot of the pulumi up output for us to verify completion. Panther logo White. You can then take this code and deploy it using the pulumi CLI. The result is more than 50, infrastructure resource types that can be managed, and over 1,, configurable input properties on those resources. In our case, there was an error:. Pulumi developer would do when given the same set of tasks. It wouldn't have been possible to build Sparky without PulumiCorp.