We’re excited to announce the new AI capabilities for Pulumi CLI powered by Pulumi Copilot that translate complex infrastructure changes into clear, human-readable explanations and help resolve deployment errors with actionable guidance. Enable these preview features with the --copilot flag.
At Pulumi, we are committed to accelerating your cloud infrastructure journey by eliminating barriers between your teams and the tools they need. Today, we’re thrilled to announce a game-changing milestone that puts unprecedented power in your hands: the v1.0.0 release of the Pulumi Go Provider SDK!
Managing large-scale infrastructure can be challenging, especially when you need to perform operations on specific subsets of your resources. Pulumi’s stack operations like pulumi up and pulumi destroy are powerful for deploying and tearing down environments, but sometimes you need more fine-grained control over which resources are affected.
Today, we’re excited to announce a highly requested feature that will save you time and reduce complexity in your workflows: the ability to exclude specific resources from stack operations using the new --exclude and --exclude-dependents flags.
These new flags complement the existing --target functionality, giving you powerful options whether you want to focus on a small subset of resources or exclude just a few from larger operations. No more workarounds or custom scripts to achieve selective deployments!
Pulumi is excited to announce the release of Visual Import, a new feature that transforms the way platform teams onboard existing cloud infrastructure into Pulumi. With Visual Import, you can discover unmanaged cloud resources across your organization, organize them into logical units, and instantly generate high-quality Pulumi code—with AI enhancements built in.
Visual Import is now available for all Team, Enterprise and Business Critical customers with Pulumi Insights enabled.
One of the biggest challenges platform teams face when adopting infrastructure as code is migrating existing cloud deployments. Legacy scripts, manual configurations, and scattered resource ownership all slow down progress. Visual Import solves this by making the journey from cloud to code seamless and intuitive.
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?
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.
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.
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.
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.
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?