Posts Tagged features

While some people coming to Pulumi are entirely new to Infrastructure as Code, increasingly teams are moving from other tools - whether cloud-specific in the form of CloudFormation or ARM Templates, or cloud-agnostic tools such as Terraform. In these organizations, new infrastructure provisioned with Pulumi must co-exist with existing resources provisioned with other tools, and often by different teams. For example, it’s common to see an application team deploying into a VPC owned and managed by a network operations team.

Pulumi supports this kind of workflow natively using the StackReference type from the Pulumi SDK. Integration with the most popular cloud-specific tools have been supported by Pulumi since the earliest days:

• The aws.cloudformation.getStack() function can be used to obtain the outputs from a CloudFormation Stack.

• The get method of the azure.core.TemplateDeployment class can be used to obtain the outputs of an ARM Template Deployment.

We recently added similar support for reading the outputs of a Terraform state file - both from local .tfstate files, and from all of the remote state backends supported by Terraform. This is exposed via the terraform.state.RemoteStateReference type in the @pulumi/terraform NPM package.

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We’ve had a 1st class concept of encrypted secrets configuration ever since first releasing Pulumi. Customers have told us they love having such a simple and easy way to ensure safe management of tokens, database passwords, and more. Since launching, however, we’ve also heard that you’d like more control over encryption and to see this protection expanded to cover not just configuration, but all of the secret data within their Pulumi deployments.

To support this, we’ve added two new features to Pulumi in our latest 0.17.12 release:

• Automatic tracking of secret values throughout a Pulumi program to ensure that all such values are always encrypted in the resulting state, no matter how they are used.
• A new option to use custom client-side encryption, instead of the default of using the Pulumi backend for encryption, to have full control over the secrets encryption and decryption.

Together, these features provide you with complete control over how secrets are managed within Pulumi deployments. We have worked with customers with advanced security and compliance needs while developing this feature, enabling them to use our online hosted SaaS with even greater confidence.

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Azure DevOps is very popular among teams that want a single place to manage their development pipelines, Git repositories, builds, releases, and test plans. Pulumi’s open-source tools are a great choice for developers and operators deploying infrastructure as code on Azure. With these two tools at hand, adopting CI and CD for your Azure infrastructure is just a few steps away for you and your teams. To make it easy to use Pulumi with Azure, we are announcing an open-source task extension for Azure Pipelines!

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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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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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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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The Pulumi ecosystem is continuously growing and today we’re excited to announce the F5 BIG-IP provider for Pulumi.

F5’s BIG-IP Local Traffic Managment (LTM) services provides advanced traffic management, acceleration, security, and analytics features to your applications. With the addition of our F5 BIG-IP Pulumi provider we are bringing Cloud Native Infrastructure as Code to F5 BIG-IP devices with familiar programming languages and a consistent programming model. This addresses a frequent use-case we’ve heard from our customers for both on-premises and Cloud workloads.

Let’s look at some examples to demonstrate what’s capable with this provider and the power and flexibility that Pulumi brings to working with your F5 BIG-IP systems.

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Today we added support for yet another developer favorite product, Atlassian Bitbucket. You can now sign-up for a Pulumi account with an Atlassian identity. This also means you can connect your Atlassian identity with an existing Pulumi account.

This work follows on from the support for GitLab identity and also the ability to connect identities, eliminating the need for users to create multiple accounts on Pulumi.

This helps users with repos across the major version control systems to seamlessly import their GitHub Organizations and GitLab Groups - and now Atlassian Bitbucket Teams - into a single Pulumi account. Of course, you don’t need to connect identities. You can always create separate account for each of your identities, if that’s what you want to do.

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