Mikhail Shilkov

We are excited to announce 6.0 of the Pulumi AWS Classic provider. The AWS Classic provider is the most heavily used provider across the entire Pulumi ecosystem, and offers access to the full surface area of the upstream Terraform AWS Provider in Pulumi projects in all supported languages. The 6.0 release brings a substantial set of fixes and improvements to the provider, including a number of breaking changes as part of the major version release.

This blog post walks you through the list of notable changes in the new major version.

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We have been busy shipping improvements in the last 2 months. Let’s walk through the release highlights across Pulumi engineering areas from March and April. If you want to learn more between release blogs, follow the CLI improvements in the pulumi/pulumi repo changelog and Pulumi Cloud features in the new features blogs.

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We have been busy shipping improvements in the last 2 months. Let’s walk through the release highlights across Pulumi engineering areas from January and February. If you want to learn more between release blogs, follow the CLI improvements in the pulumi/pulumi repo changelog and Pulumi Service features in the new features blogs.

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Earlier this year we announced the experimental introduction of Update Plans as we heard from many of you that you need a strong guarantee about exactly which changes an update will make to your infrastructure, especially in critical and production environments. We have been making steady progress on this feature and are excited to further integrate it into your workflows. In the latest release of the Pulumi CLI (v3.48.0), there’s a new prompt to use experimental Update Plans when running an update.

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Infrastructure has become a core part of application development as modern cloud capabilities such as microservices, containers, serverless, and data stores define your application’s architecture. The term “infrastructure” covers all of the cloud resources your application needs to run. Modern architectures require thinking deeply about infrastructure while building your application, instead of treating it as an afterthought. Pulumi’s approach helps developers, infrastructure engineers, and platform teams work together to leverage everything the modern cloud has to offer.

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As part of our hackathon near the end of last year, we decided to explore solutions to a common problem when people are using Pulumi for their systems. A question that’s been asked in a few different forms is how to resolve circular dependencies between resources in a Pulumi program. A simple example of this idea is a modern web application with a static front-end and an API, where the front-end needs to know the URL of the API to be able to call it and the API needs to know the source domain of the front-end to allow it access via CORS.

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Today, Microsoft announced a new general-purpose serverless container platform: Azure Container Apps. Container Apps is a fully managed platform for microservice applications that runs on top of Kubernetes and open-source technologies like KEDA, Envoy, and Dapr.

Container Apps are designed to abstract infrastructure management with flexible serverless containers. Developers can run containers at scale without the burden of standing up and managing a Kubernetes cluster manually.

We are happy to announce same-day support for Azure Container Apps in the Pulumi Azure Native Provider, which covers 100% of the Azure Resource Manager APIs and gives you highest fidelity integration with Azure’s resources.

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Last September, we announced the beta release of Pulumi Azure NextGen: a new Microsoft Azure provider for Pulumi that combines same-day access to the entire Azure API surface with the excellent Pulumi experience you know and love, including version-less resources, auto-naming, and auto-location.

Today, we’re excited to announce that this new provider is now the default way to manage Azure resources with Pulumi. We’re also excited to announce its final name: the native Azure provider for Pulumi, or “Azure-Native” for short. You can get started with the new provider using our newly-updated getting started guide.

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Azure Synapse is an integrated analytics service that combines enterprise data warehousing of Azure SQL Data Warehouse and Big Data analytics of Apache Spark. Azure Synapse is a managed service well integrated with other Azure services for data ingestion and business analytics.

You could use the Azure portal to get started with Azure Synapse, but it can be hard to define sophisticated infrastructure for your analytics pipeline using the portal alone, and many users need to apply version control to their cloud configurations.

The alternative is to use an infrastructure as code tool to automate building and deploying cloud resources. This article demonstrates how to provision an Azure Synapse workspace using Pulumi and general-purpose programming languages like Python and C#.

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When AWS Lambda launched in 2014, it pioneered the concept of Function-as-a-Service. Developers could write a function in one of the supported programming languages, upload it to AWS, and Lambda executes the function on every invocation.

Ever since then, a zip archive of application code or binaries has been the only supported deployment option. Even AWS Lambda Layers—reusable components automatically merged into the application code—used the zip packaging format.

Today, AWS announced that AWS Lambda now supports packaging serverless functions as container images. This means that you can deploy a custom Docker or OCI image as an AWS Lambda function.

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