We’ve been busy over the past two months, shipping significant enhancements across the Pulumi ecosystem. From major improvements to our core IaC platform with Azure Native V3 and cross-language Components to powerful new capabilities in Pulumi ESC and Insights, these updates deliver on our commitment to making cloud management more powerful, accessible, and secure. We’re particularly excited about our AI integration through the MCP Server, enabling developers to work with infrastructure in a more intuitive, contextual way. Let’s dive into the details of what’s new.

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In previous articles, we looked at how platform engineering fixes infrastructure chaos, enables self-service, and improves developer workflows. These pillars work together to boost both developer productivity and organizational speed.

But there’s still one critical element that can make or break all this progress: security.

Traditional security efforts — even “shift-left” initiatives — often create friction instead of clearing the way for innovation. Embedding security directly into your platform changes that. By weaving in policy-as-code, centralized secrets management, and identity-based authentication, you turn security from a blocker into an enabler. And with the right metrics, you can measure how well your platform balances protection and speed.

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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 Azure Native V3 is the most comprehensive infrastructure as code (IaC) solution for Microsoft Azure, combining full resource coverage with dramatic improvements in performance and developer experience.

With V3, the Pulumi Azure Native SDK is 75% smaller while maintaining 100% coverage of the Azure Resource Manager (ARM) API. This makes it the most efficient and complete way to define and manage Azure infrastructure with real programming languages.

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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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By this point in 2025, we’ve all heard about “vibe coding”: the AI-fueled craze that enables even my 2 year old nephew to build new applications by simply giving into the vibes, embracing exponentials, and forgetting that the code even exists. Vibe coding enables anybody who can type on a keyboard or speak to a computer to build IPO-worthy software businesses overnight. Today we are excited to introduce vibe coding’s similarly revolutionary close cousin: “vibe clouding”. By giving into the vibes, you can now spin up cloud infrastructure anywhere and everywhere, all by just saying stuff, copy and pasting stuff, and vibing. And even better, it mostly works! Read on to learn more, or just watch the video below.

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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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Kubernetes has transformed cloud infrastructure by enabling scalable, containerized applications. While it initially gained traction for managing web applications and microservices, its capabilities now extend to AI/ML workloads, making it the go-to platform for data scientists and machine learning engineers.

Running AI/ML workloads on Kubernetes presents unique challenges, including:

• Specialized hardware requirements (e.g., GPUs, TPUs)
• Scalability for model training and inference
• Complex data pipelines that integrate various cloud services
• Infrastructure automation for seamless deployment

Google Cloud Kubernetes (GKE) provides a robust foundation for AI/ML workloads, but managing infrastructure manually can be cumbersome. This is where Pulumi comes in—enabling Infrastructure as Code (IaC) to automate and simplify AI/ML infrastructure on Kubernetes.

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Pulumi Cloud empowers engineers to automate, secure, and manage modern infrastructure platforms.

Many companies are building internal developer platforms or modern infrastructure platforms to provide developer self-service while maintaining security and compliance. Companies adopt Pulumi IaC so they can apply software engineering practices to their infrastructure scaling problems and because it is fully open source with a strong community and public roadmap.

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Pulumi is excited to announce the addition of 27 new providers to the Pulumi Registry, significantly expanding our ecosystem and empowering developers with more choices for infrastructure as code. This expansion includes providers like Temporal, Vantage, and Honeycomb, among many others, making it even easier to manage diverse cloud and SaaS services with Pulumi.

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