Pulumi ai

Pulumi ai a microservices backend and Pinecone vector database for semantic search. The Pulumi authoring experience is dynamic.

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.

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. 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. Want help writing infrastructure code? Use Pulumi AI to generate code for your desired infrastructure — all through natural language commands. There is no way around the fact that devops is complicated but PulumiCorp is a game changer for me. Continuing on my thread about PulumiCorp from a while ago: holy shit I am a convert. How have I lived without this until now? Without a doubt the most approachable tool in the IaaC space is PulumiCorp.

AI-based tooling will also extend well beyond just creating and managing infrastructure, most importantly to the operational tooling used to understand, support, and diagnose that infrastructure, including policy enforcement across cost, pulumi ai, compliance, and security. Winners will be chosen in pulumi ai few months and receive a special prize.

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.

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. Pulumi AI addresses this need in a direct way.

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Chat with our team. 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. Sign up for our newsletter. 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. 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. Through this abstraction you can manage stacks of infrastructure as code. This integration delivers an incredible experience. Author Code with AI. We believe that fundamentally, both code and templates, while having different use cases, are important. You can then take this code and deploy it using the pulumi CLI. Pulumi also exposes the ability to manage many of these services directly, provisioning and managing the lifecycle of AI services across your infrastructure through support for things like Azure OpenAI Service , Pinecone Indexes , Amazon SageMaker Endpoints , and much more. In practice, cloud engineers face a daunting task as they figure out how to combine these resources and properties to solve their unique problems. The result is more than 50, infrastructure resource types that can be managed, and over 1,, configurable input properties on those resources. However, in order to complete this challenge, you will need a couple things set up in advance. AI-based tooling will also extend well beyond just creating and managing infrastructure, most importantly to the operational tooling used to understand, support, and diagnose that infrastructure, including policy enforcement across cost, compliance, and security.

Author infrastructure code using programming languages you know and love. Write statements to define infrastructure using your IDE with autocomplete, type checking, and documentation.

Tightening the feedback loop for tools like Pulumi AI will continue to enable AI to iterate and solve more complex cloud infrastructure challenges, and arrive at correct working solutions. For example, suppose that I want to run Metabase on Azure. 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. I went back to what I love: code. And instead of asking questions and getting back code, these tools will soon be able to actually do the deployments and verify that they work. We have an incredible number of opportunities to extend and apply this technology to many aspects of cloud engineering. Developers are benefiting from an incredible increase in their productivity with better scale and faster time to market. Indeed, one of our primary goals at Pulumi since our founding has been to raise the abstraction level from raw cloud primitives to higher level components that are aligned with the needs of specific usage scenarios. Come join us! Panther logo White. 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. When I try its suggestion and get errors, I can ask it to fix them to iterate to a working solution. Whether delivered as part of a major cloud platform or via a fast-growing startup, it will all be available to use productively at scale via infrastructure as code in Pulumi. 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. One particular trend in the rapid growth of IaC is in fast-growing companies building the new managed AI infrastructure services themselves - from data services e.