Since launching last year, thousands of users and hundreds of companies, from startups to Fortune 500 Enterprises, have chosen Pulumi for cloud applications and infrastructure delivery across AWS, Azure, Google Cloud, and Kubernetes. Today we are announcing important changes to better align our product and pricing with how we’ve heard you want to use Pulumi in production. We’re optimistic that these changes will help companies of all sizes choose Pulumi, enabling their teams to deliver cloud applications and infrastructure faster and more reliably.

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Using Pulumi and general purpose languages for infrastructure as code comes with many benefits: leveraging existing skills and knowledge, eliminating boilerplate through abstraction, and using the same ecosystem of tools like IDEs and linters that your team already knows and loves. In general, these are all attributes of software engineering, which not only make us more productive, but also improve the quality of our code. It’s only natural, therefore, that using general purpose languages unlocks another important software engineering practice: testing.

In this article, we will see the many ways in which Pulumi lets us test our infrastructure as code.

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Pulumi lets you create, deploy, and manage Google Cloud applications and infrastructure in familiar languages like JavaScript, TypeScript, and Python, and without needing to learn new DSLs or YAML templating solutions. This means great productivity and getting to use tools you already know and love. Since serverless is all about focusing more on your application code, and less on infrastructure and configuration toil, we absolutely love Google Functions.

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Google Cloud is one of the most exciting cloud platforms available today, with a breadth of powerful infrastructure services from Google Container Engine (GKE) and Google Cloud Functions to Cloud Firestore and Cloud Spanner.

Pulumi is the most productive tooling available today for teams building cloud applications and infrastructure, in your favorite languages. Add them together, and teams can easily take maximum advantage of Google Cloud Platform’s rich features, productively, with a combined platform that makes it easy to collaborate, share, and reuse.

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Across the industry, the popularity of Python is exploding. Amongst our own customers at Pulumi, who automate their infrastructure using Python, we’ve seen the same. Stack Overflow wrote about the astounding growth of Python: The term “fastest-growing” can be hard to define precisely, but we make the case that Python has a solid claim to being the fastest-growing major programming language. – David Robinson, Stack Overflow Since Python is not a new language, what could be driving this incredible adoption curve?

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Pulumi makes developing and deploying rich serverless and container-based applications a breeze. But how do you monitor and observe those applications while they are being developed and once they are deployed? There are many great answers: from the built-in capabilities of the underlying cloud services (Lambda, ECS, Kubernetes, and more), to great 3rd party solutions like IOpipe and Epsagon which we highlighted recently on this blog.

The Pulumi CLI provides another way to do logging, without requiring the additional setup of these existing solutions and seamlessly integrated into your Pulumi development workflow. The pulumi logs command provides a great first place to start for understanding your Pulumi application’s behavior. Especially during development, this command provides direct insight into the behavior of your application, bringing together logs across all of the different forms of compute you are using - from code running in serverless functions to containers to VMs.

Let’s take a quick look at pulumi logs and some of the ways it can be used as part of the inner loop of your Pulumi development.

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We have been hard at work the past few months providing our users with more ways to connect to Pulumi. Here are some our past announcements related to identities: Support for Atlassian identity Connecting multiple identities to an existing Pulumi account Support for GitLab identity Today, we are pleased to announce that we are launching support for email-based identities. You no longer need to use a social identity to sign-up for an account on Pulumi.

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Pulumi allows cloud developers to use programming languages like JavaScript, TypeScript and Python to define and deploy cloud infrastructure and applications. To do this, Pulumi exposes a notion of Outputs that track how the outputs of one cloud resource are used and transformed as part of creating another cloud resource. These Output types are heavily used in many Pulumi application. They are the way that Resources expose their values and are commonly used to pass values from one Resource to another.

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With Pulumi, you can create, deploy, and manage any cloud resource using your favorite language. This includes application and infrastructure related resources, often in the same program.

One area this gets really fun is serverless computing. Because we’re using general purpose languages, we can create resources, and then wire up event handlers, just like normal event-driven programming. This is the way serverless architecture should be!

In this article, we’ll see how. There’s a broad range of options depending on what you want to do, and how your team likes to operate. We’ll be using Amazon Web Services (AWS) and TypeScript, but other clouds and languages are available.

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Pulumi enables customers to create, deploy, and manage modern applications and infrastructure in their preferred cloud environment using general purpose languages such as Javascript, Typescript and Python. For many businesses today, the use of modern technology is associated with Kubernetes, tools (command line or domain specific tools) to bring-up Kubernetes and a large pile of raw YAML files to deploy Kubernetes resources with.

Pulumi’s ready to use, language specific Kubernetes packages allow you to trade in the grab bag of tools and YAML files in exchange for the full expressive power of a general purpose language. In this blog post, we discuss “await logic”, which allows users to have better visibility into the state of Kubernetes resources as they are being deployed or created.

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