Posts Tagged automation-api

Today we’re excited to announce the availability of Pulumi 3.0, the next major version of the Pulumi open source project, and the foundation for Pulumi’s Cloud Engineering Platform.

Pulumi offers the most complete infrastructure as code platform for building, deploying and managing modern cloud infrastructure and applications. Pulumi enables cloud engineers to use familiar languages to describe their cloud infrastructure - bringing core software engineering tools and practices to bear on managing and getting the maximum value from their cloud platforms of choice - across dozens of cloud and SaaS providers.

Pulumi 3.0 includes dozens of significant new features and hundreds of improvements that build on this foundation. This release includes more than 200 contributions from over 150 members of the Pulumi community, and builds on feedback from working with thousands of Pulumi users and customers over the last year.

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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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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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Joshua Studt is a Solutions Architect at Financial Independence Group and a Pulumi Community member who contributed the C# package for Automation API. Currently available in public preview, Pulumi’s Automation API enables you to provision your infrastructure programmatically using the Pulumi engine. Today, we are excited to announce C# support for Automation API, enabling .NET developers to automate infrastructure deployments, create complex orchestration workflows, build custom ops tooling, and build cloud frameworks.

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Guest Article: Simen A. W. Olsen is a Software Architect and Manager at Bjerk, a software development agency based in Oslo, Norway. He joins Paul Stack to talk about the new GitHub Action powered by the Pulumi Automation API.

In this article, we’ll take a look at how our GitHub Action has been re-architected to be built on top of our Automation API.

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Guest Article: Andy Davies is a Senior Software Developer at Reaktor, a tech company based in Amsterdam, New York, and Finland, writing about using the Pulumi Automation API to add observability to infrastructure provisioning.

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General-purpose languages enable Infrastructure as Software – bringing tested toolchains and best practices to building infrastructure, e.g., languages, IDEs, testing, debugging, componentization, packaging, and versioning. Available in public preview, Pulumi’s Automation API is a robust programmatic layer on top of Pulumi’s infrastructure engine. It exposes Pulumi programs and stacks as strongly-typed and composable building blocks. Automation API allows you to embed the Pulumi engine inside your software projects so you can build software automation around entire infrastructure provisioning processes that normally require humans to operate.

Today, we are excited to announce Python support for this powerful feature, opening up a world of possibilities for Python developers.

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“Why use a programming language to build and maintain infrastructure?” is a question we hear frequently. There are apparent advantages such as using a mature and well-known language across a team, enabling cloud engineers to use software development best practices, and an ecosystem of tools for building robust systems.

Infrastructure as code enables you to build tools and environments to automate routine tasks, letting cloud engineers concentrate on efficiency and resilience. In this article, we’ll take a look at how Pulumi’s Automation API lets you build custom ops tooling that improves your workflow.

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There are many moving parts when deploying infrastructure and applications. Playbooks are step-by-step maps that standardize how infrastructure and applications are deployed across your organization. Typically playbooks describe every action to build and deploy, requiring an operator to complete each step before moving on to the next. It’s a process that can be tedious and prone to human error.

What if you could encapsulate a playbook into a single action? This is the promise of declarative infrastructure. You declare the desired state of your infrastructure and the infrastructure as code engine builds the infrastructure. However, you must still deploy the application and perform maintenance, and this is where you hit the limits of templating languages and where programming languages excel. In this hands-on article, we’ll demonstrate how to use Pulumi’s Automation API to create a program that builds infrastructure, installs an application, and can perform application maintenance.

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If you could create infrastructure without using a cloud provider’s console, a CLI, or a templating engine, what would you build? Pulumi’s Automation API lets you create declarative infrastructure defined by your best practices and expose it behind a REST, gRPC, or custom API.

So just what is Automation API? Think of it as Pulumi’s infrastructure as code engine as an SDK. Instead of writing code and using the CLI to declare infrastructure, you can directly tell the engine to build your infrastructure. This means that you’re using the same declarative IaC tooling with the predictability, robustness, safety, and desired state management, except it has a new programmatic surface area. Imagine building an application that creates infrastructure via a REST interface. Get ready, because that’s what we’re going to do.

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