Today we’re excited to announce Review Stacks – dedicated cloud environments that get created automatically every time a pull request is opened, all powered by Pulumi Deployments. Open a pull request, and Pulumi Deployments will stand up a stack with your changes and the Pulumi GitHub App will add a PR comment with the outputs from your deployment. Merge the PR and Pulumi Deployments will destroy the stack and free up the associated resources.
Two months ago we launched Resource Search for Pulumi Cloud to offer multi-cloud resource search and analytics across every cloud environment in your organization. Today, we’re excited to announce that we are taking this a step further and exposing a much larger set of data to search over: resource properties.
Over the last 2 years, we’ve seen an increasing trend of cloud development teams migrating to Pulumi from Terraform. These teams often have experience with and meaningful investment in Terraform, but have also typically run into limits of expressivity, productivity, scalability, or reliability with their existing tools. One of the first questions we hear when they decide to move to Pulumi is “how will I migrate my existing Terraform projects over?”.
Today, we’re excited to announce new support for converting whole Terraform projects to Pulumi via the pulumi convert command in the Pulumi CLI. The new Terraform converter includes support for Terraform modules, core features of Terraform 1.4, and the majority of Terraform built-in functions, converting to Pulumi TypeScript, Python, Go, or C#. The new converter can significantly reduce the amount of time it takes to migrate Terraform to Pulumi. Let’s dig in to learn more about the new converter and how to use it.
Engineers spend a lot of their valuable time searching documentation for answers. At Pulumi, we believe in exceptional documentation experiences that help people using Pulumi find what they need quickly and use it successfully. Today, we are announcing a set of improved Pulumi documentation experiences that collectively make it easier than ever to discover, learn and build cloud infrastructure with Pulumi.
We are happy to announce the delivery of Azure OIDC authentication, one of the most requested features for the Pulumi Azure Native Provider. With the v1.100.0 release, OpenID Connect (OIDC) authentication is now fully supported in both the Azure Native and Azure Classic providers. Let’s dig in to learn what it is, how it works, and why it’s useful.
Today, we are excited to introduce a set of improvements to Pulumi Cloud Webhooks designed to deliver your deployment notifications to where you already spend your time, enabling faster response times to critical issues. Getting your deployment notifications into Slack is now easier than ever on Pulumi Cloud with our new Slack integration. We are also announcing two new improvements to our webhooks feature: Pulumi Deployments events and fine-grained event filtering.
PulumiUP is our virtual user conference for the Pulumi community and anyone interested in Infrastructure as Code. Every year, we strive to build a program packed with technical talks, demos, and best practices with the goal of leaving you with new learnings and inspiration that will help you become a better cloud engineer. You’ll hear from industry leaders and experts about IaC, software engineering, DevOps, Platform engineering, and AI. We hope you’ll join us virtually and take this opportunity to grow your knowledge and become infrastructure as code stars.
We have been busy shipping improvements in the last 2 months. Let’s walk through the release highlights across Pulumi engineering areas from March and April. If you want to learn more between release blogs, follow the CLI improvements in the pulumi/pulumi repo changelog and Pulumi Cloud features in the new features blogs.
This post continues our series of blog posts focused on IaC recommended practices. In earlier posts, we introduced Zephyr Archaeotech Emporium, the fictional company that sits at the center of this series, and discussed Zephyr’s primary use case for Pulumi: managing their online retail store. You read how Zephyr’s initial use of Pulumi changed to incorporate the use of short-lived per-developer stacks. Later, as Zephyr continued to grow, you saw how Zephyr restructured their Pulumi projects and stacks, and incorporated the use of Stack References. This post is a complement to the post on structuring Pulumi projects, concentrating on the use of role-based access control (RBAC) and security in Zephyr’s multi-project configuration.
Pulumi AI harnesses a form of generative AI, known as large language models, to help you discover, learn, and use new cloud infrastructure APIs with ease. Think of Pulumi AI as a sophisticated compass, guiding you through the ever-changing landscape of cloud infrastructure and pointing you in the direction of the most suitable solutions for your unique requirements. In this blog post, we’ll explore our recent enhancements to Pulumi AI, focusing on how we’ve integrated Pulumi Package schema data to generate more accurate and relevant Pulumi programs.
