Pulumi native providers are a new type of Pulumi Package that give you the most complete and consistent interface for the modern cloud. Pulumi native providers bring the full power of the top cloud providers to the Pulumi Cloud Engineering Platform, faster and with more complete coverage than any other infrastructure as code offering. Today at PulumiUP, we announced native providers for Microsoft Azure (GA), Google Cloud (public preview), and AWS (later this year). Along with an existing native provider for Kubernetes, these providers enable you to build, deploy, and manage cloud infrastructure and applications for the most common cloud vendors and technologies. This best-in-class support for the major clouds joins our library of more than 50 cloud providers in the Registry and delivers on our promise of cloud engineering for any cloud, any architecture, and any language.

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Today at PulumiUP, we announced the public preview of our Google Cloud Native provider. Google Cloud usage amongst Pulumi users has grown rapidly in the past year and Google Cloud has been adding new features and updates almost every day. The new native provider gives Pulumi users the best support possible for Google Cloud in Pulumi.

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Pulumi Packages are the core technology that enables cloud infrastructure resource provisioning to be defined once, in your language of choice, and made available to users in all Pulumi languages. If you’ve used a Pulumi cloud provider, including one of our new Pulumi native providers, you’ve used a Pulumi Package. But until today, Pulumi Packages only worked with Pulumi Resources: direct, low-level representations of individual cloud services like object storage. Many of us, however, enjoy creating Pulumi Components, which combine low-level resources into higher-level, more opinionated building blocks like the production-grade Kubernetes cluster component in Pulumi EKS. Unfortunately, those components, though powerful and unique to Pulumi’s IaC approach, were previously confined to a single language: so if your infrastructure team built a component in Python, your developers who might want to use TypeScript could not use it.

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Pulumi Automation API exposes the full power of infrastructure as code through a programmatic interface, instead of through CLI commands. With Automation API, you can create software that has the capability to provision and configure infrastructure: create, update, configure, and destroy infrastructure dynamically. You can create new classes of Software-as-a-Service that provision unique infrastructure for every customer. You can build the perfect cloud interface for your organization, combining all of your infrastructure knowledge and best practices into a purpose-built tool, whether it’s a SaaS offering, an internal web app, a purpose-built CLI tool, a CI/CD integration, or something else entirely.

We announced the general availability of Automation API today at PulumiUP and we’re excited to see what you create with it!

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Pulumi’s CI/CD Assistant helps you bring your infrastructure under version control and create a continuous integration and delivery pipeline that deploys changes to your cloud applications and infrastructure whenever you make a change in source control. Using CI/CD secures your production delivery while ensuring that every deployment is expressed in a committed Pulumi program and quickly reflected in your deployed infrastructure. With the CI/CD Assistant, it’s easier than ever before to set up version control and a CI/CD pipeline for your favorite CI/CD system, even if you’re new to CI/CD workflows.

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Pulumi’s Cloud Engineering Platform helps teams of all sizes deliver and manage cloud apps and infrastructure. In the Pulumi Service, everyone on the team can see the infrastructure the team is responsible for, when it was last deployed, how it’s configured, and more. You can see a full breakdown of the infrastructure and understand how the team brings together individual cloud services to create applications. When you bring your teams together on Pulumi, you get a “single pane of glass” over all the cloud applications and infrastructure managed with Pulumi.

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My professional background has included nearly ten years of managing field events and user conferences. I never thought I would say this, but I miss traveling. I even missed Vegas and AWS re:Invent this year. I miss connecting with customers and advocates in our communities. I wish we could all be looking forward to getting together in person in Seattle or Austin or insert any city here. As the year continued, it became clear we were not going back to in-person events anytime soon, and everyone in the industry pivoted to virtual programs while video conferencing became an all-day activity.

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Earth is just the beginning. We are putting down the foundations of space so our children can build their future. At Pulumi, we are committed to making life multi-planetary. We are excited to announce Pulumi Interstellar, a collection of resource providers that will help us reach the future of a space-faring and multi-planet species.

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Companies that have suffered data breaches are, unfortunately, frequently in the news. A data breach is when information that should be private, such as credit card numbers or even trade secrets, is stolen. These thefts can be because of an actual cyber-attack, but they can also be due to simple carelessness, such as disposing of computer equipment without taking proper precautions.

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Data science has advanced because tools like Jupyter Notebook hide complexity by running high level code for the specific problem they are trying to solve. Increasing the level of abstraction lets a data scientist be more productive by reducing the effort to try multiple approaches to near zero, which encourages experimentation and better results.

Data scientists typically work locally, but they often store data for analyses and models in the cloud. There are clear advantages to using cloud resources for these tasks:

• Data scientists generally don’t want to manage their storage and databases.
• They need to be able to store large data sets cheaply.
• They need large capacity swings available on-demand.

SDKs like AWS’ Python library, boto3, can create resources, but they still require domain expertise to manage and properly architect a solution. The Pulumi Automation API improves on raw SDKs by providing high-level abstractions for creating and managing cloud services, letting data scientists concentrate on analyses and models without being well-versed in cloud APIs.

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