Posts Tagged features

Announcing Slack and Deployment Notifications for Pulumi Cloud

Announcing Slack and Deployment Notifications for Pulumi Cloud

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.

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Leveling up Pulumi AI with the Pulumi Registry

Leveling up Pulumi AI with the Pulumi Registry

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.

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Pulumi Resource Search: Find the Needle in the Haystack

Pulumi Resource Search: Find the Needle in the Haystack

Last month we announced a new Pulumi Cloud feature available for everyone: Resource Search. In the past month, Resource Search has been the fastest adopted feature since launching Pulumi Cloud, with thousands of users leveraging the feature to find resources across cloud environments, projects, stacks, teams, and users. Today we are announcing two new improvements to Resource Search: advanced filtering and Pulumi Teams support.

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Pulumi AI: The Fastest Way to Discover, Learn, and Build Infrastructure as Code

Pulumi AI: The Fastest Way to Discover, Learn, and Build Infrastructure as Code

We recently released Pulumi AI, a purpose-built AI Assistant that can create cloud infrastructure using Pulumi. It builds on the power of Large Language Models (LLMs) and GPT to dramatically reduce the time it takes to discover, learn and use new cloud infrastructure APIs.

We’ve seen amazing engagement and stories from Pulumi users about the impact this tool has had for them over the past few weeks. In this post, we’ll dive deeper into this new technology, and share why we and so many other Pulumi users are so excited about Pulumi AI.

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Pulumi Insights: Intelligence for Cloud Infrastructure

Pulumi Insights: Intelligence for Cloud Infrastructure

We’ve seen incredible acceleration of cloud adoption over the past 5 years. Pulumi’s flagship open source IaC solution gives engineers great tools to scale up their cloud infrastructure using the same programming languages and tools they already know and love. As a result, thousands of companies of every size and scale have adopted Pulumi as a lynchpin of their cloud infrastructure strategy.

Today we’re excited to announce Pulumi Insights, the next major productivity enhancement for infrastructure as code. Pulumi Insights provides intelligence, search, and analytics over any infrastructure, in any cloud across your organization, leveraging the latest advances in generative AI and Large Language Models (LLMs). Whether you have an AWS VPC, a Kubernetes CRD, or a DataDog alarm definition, Pulumi Insights enables you to intelligently find and interact with all of your resources from within the Pulumi Cloud.

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Aligning Projects between Service and Self-Managed Backends

Aligning Projects between Service and Self-Managed Backends

At Pulumi, our goal is to offer the best Infrastructure as Code experience for all cloud developers. From the very beginning, we’ve believed that the best IaC experience is made possible by combining a great open source SDK and CLI with a great backend management service. This is why we built and run the Pulumi Service, a rich management platform for your Infrastructure as Code, which includes a forever free option for individuals, a generous free tier for teams, and critical tools for enterprises to manage IaC at scale.

Over the last few years, we’ve continued to expand the features of the Pulumi Service - with Deployments, Audit Logs, SAML SSO and SCIM, Teams, Stack Transfers, Favorites, Organization and Team Access Tokens and much more.

While the majority of Pulumi users do choose to use the Pulumi Service, we also know that there are good reasons why some organizations would prefer to use Pulumi IaC alone without the Pulumi Service. And so we support and continue to invest in enabling a variety of additional backends that allow the Pulumi CLI to be used with state stored in the local filesystem or in cloud storage like S3, Azure Blob Storage, or Google Cloud Storage.

Historically the Pulumi Service backend and the self-managed file storage backends have differed in their handling of “projects”. The Pulumi Service stores state for a Pulumi stack in a seperate namespace per project. The self-managed backends have historically stored all stacks in a single namespace across all projects. This inconsistency has been a common source of confusion for users getting started with Pulumi when using the file storage backends.

Today, we are aligning how projects are managed across all backends, adding Project-Scoped Stacks support to the self-managed backends.

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Pulumi Docker Provider 4.0: Build Images Up To 50x Faster

Pulumi Docker Provider 4.0: Build Images Up To 50x Faster

The Pulumi Docker Provider has been a top Pulumi provider since it launched in 2018. It can be used to provision any of the resources available in Docker, including containers, images, networks, volumes and more.

One of the most heavily used features of this provider is the docker.Image resource, which enables Pulumi users to build and (optionally) push a local Docker context (like an application folder) to a registry as part of a Pulumi deployment. Today we are excited to announce a set of improvements to the docker.Image resource driven by the feedback we have received from our community. This set of improvements includes:

  • Significantly improved performance (including reduced need for rebuilds)
  • BuildKit support (including cross-platform builds)
  • Rich Docker build logs inside Pulumi IaC program output
  • Pulumi YAML and Pulumi Java support

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