Posts Tagged iac

Infrastructure as Code (IaC) has revolutionized how we manage cloud resources, but navigating complex cloud provider APIs, writing boilerplate code, and iterating through deployment cycles can still be time-consuming. Pulumi offers a fantastic developer experience using familiar programming languages. But what if we could make it even faster and more intuitive by integrating powerful AI assistants directly into the development loop?

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Pulumi enables teams to manage their infrastructure using the programming languages and tools they are already familiar with, supporting use cases such as complex authentication workflows, dynamically configured resources, and more.

In this post we’re excited to announce an improvement to the pulumi refresh and pulumi destroy commands: the --run-program flag! This new feature makes Pulumi even more powerful for teams with complex infrastructure workflows.

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Pulumi Components enable you to create, share, and consume reusable infrastructure building blocks across your organization and the broader community. Today, we’re excited to announce significant enhancements to Pulumi Components that make them more powerful, accessible, and easier to use than ever before.

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When asked about his research process, Anthony Bourdain would describe how he’d blend his formal culinary training with deep dives into local food culture - from market stalls to family recipes. Modern AI code generation follows a similar path: it can’t just rely on what it knows - it must tap into continuously evolving, domain-specific knowledge bases. Just as Bourdain would combine his classical French training with techniques learned from local kitchens, AI code generators blend their built-in knowledge with retrieved code snippets and type definitions to generate code that accurately represents the user’s intent.

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Have you ever had one of those moments: Elasticsearch is crashing, logs are filling up too fast, or a deployment needs data from three different APIs. The big enterprise solutions aren’t quite right, and your team estimates six months to build something proper. But you know that with Python and a few choice libraries, you could hack something together by tomorrow.

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Building AI-powered developer tools comes with unique challenges, and now that we’ve launched our REST API, we want to share some lessons we’ve learned building Pulumi Copilot, an AI assistant for cloud infrastructure.

One of the big challenges was determining what ‘working’ really meant. So when a message landed in our feedback channel after months of rigorous testing - ‘Your tool doesn’t know anything!’ - it caused some mild panic. We’d just made some changes, so we braced for the worst. But our evals were still looking strong, so what was going on?

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At our fourth annual PulumiUP conference, we unveiled a new vision for Pulumi, going beyond infrastructure as code to a comprehensive product suite. Pulumi’s platform now consists of three core products: Pulumi IaC is open source infrastructure as code in any programming language; Pulumi ESC is centralized secrets management that scales; and Pulumi Insights delivers instant visibility, intelligence, and control over all of your infrastructure. Each product can be adopted independently but is better together. In this post, we will share more about how Pulumi is your trusted partner to automate, secure, and manage everything you run in the cloud.

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As a skeptic of “quick starts” myself, I approach most marketing promises with a measure of cautious excitement. If the great and powerful algorithm, friends, or a peer brought your attention here, then I invite you to take this one seriously.

Pulumi, with its full support of many general-purpose programming languages, can appear like a chore to get started with. The feeling can haunt seasoned developers as much as practitioners new to infrastructure code.

However, I’ll show you that finding the proverbial easy street is easier than you might believe. The pulumi new developer story just gets sweeter when combined with a few other nice-to-have conveniences.

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The process of taking an idea and turning it into reality has been nothing short of extraordinary since we started innovating with Artificial Intelligence. With this technology, machines learn about and communicate with people, while also helping us in ways we never could have imagined only a few years ago. If you’ve been following along, you might recall that the real AI challenge is cloud, not code where we used Python and Pulumi to a chatbot API (named katwalk).

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Running models from Hugging Face on Amazon SageMaker is a popular deployment option for AI/ML services. While the SageMaker console allows for provisioning these cloud resources, this deployment pattern is labor intensive to document and vulnerable to human errors when reproducing as a regular operations practice. Infrastructure as Code (IaC) offers a reliable and easy to duplicate deployment practice. By developing this IaC with Pulumi, practitioners can choose to write their infrastructure code in Python and seamlessly develop both AI application code and IaC code in the same language.

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