We regularly ship updates across the Pulumi ecosystem, with a release of the Pulumi CLI every two weeks, frequent releases of our cloud providers in the Registry, and regular updates to the Pulumi Service. You can read about most of those changes in the CHANGELOG.md files in each open source repository. To highlight some of the most exciting releases—including, for the first time, updates to the Pulumi Service—we’re trying something new: a regular release notes post for Pulumi release news, features, and updates. If you find it useful, or have ideas on how we could improve it, let us know on Twitter or in the Pulumi Community Slack!

In this update:

• New and updated cloud providers
  • Pulumi supports Amazon ECS Anywhere and Amazon App Runner
  • Pulumi supports Sumo Logic
  • 100 new resources in the Azure Native provider
• Pulumi engine and core technologies
  • Input parameters can now be marked as secret
  • Pulumi Packages: schema documentation and enhancements
• Pulumi Service and Pulumi.com
  • Easier acceptance of invites to organizations
  • Self-Hosted Pulumi Service now supports Azure Services and Minio storage

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Building an open-source framework for building serverless applications has many challenges, one of which is deploying cloud infrastructure resources. In this article, learn how Webiny uses Pulumi to enable its users to easily deploy and develop applications built on top of serverless cloud technologies.

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The central principle of cloud engineering is adopting software engineering practices. Refactoring is a technique for making changes to code that improve maintainability, enhance performance, scalability, and security without changing its external behavior. In devops, refactoring often occurs with modern applications; however, we can apply those same techniques to cloud infrastructure with infrastructure as code.

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When Amazon’s Elastic Container Service (ECS) first launched in 2014, it enabled an easy and convenient way of deploying and scheduling containers in the AWS ecosystem. Back then, you would run a set of EC2 instances, and ECS would deploy containers to instances based on the size, resources, and placement requirements you specified.

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There are loads of benefits to packaging up an application as a container. You can ensure that your application has all the required dependencies and runs in the isolated, predictable environment you expect. When it comes to running that containerized application, there are many options, including Kubernetes, Amazon Elastic Container Service (ECS), and Docker. Often, running a container application at scale requires setting up a container orchestrator and providing network infrastructure to the containers. Configuring this can be complex, especially if you’re not familiar with virtual networking concepts such as virtual private clouds, load balancers, and the like.

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I was relieved to find Pulumi. Finally, we have testable Infrastructure as Code. We can write fast unit tests that we can execute locally without needing the cloud. However, I was a bit disappointed. Pulumi does not have a full representation of IAM Policy documents. Fortunately, it was relatively easy to build a library that did this!

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Danny Zalkind is the DevOps group manager for Skai, an award-winning intelligent marketing platform. He brings his 15 years of exprience of managing tech teams to his current role where he’s dedicated to allow Skai R&D to efficiently produce and serve software. You can find him on Linkedin.

Skai is an independent, global marketing platform for strategy, measurement, and best-of-breed activation across all of the world’s most influential digital channels. Skai’s solution provides data-driven insights and optimization technology to help companies make informed decisions and scale performance across critical publishers.

Skai possesses a highly technical engineering organization with over 350 software engineers, data experts, and DevOps engineers.

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Thank you for joining the PulumiUP event. We had a stellar set of speakers and panelists discussing the future of DevOps and how Cloud Engineering is providing the tools and processes that enable faster delivery, the right mix of architecture, and foster collaboration among teams in an organization. Here are some of the highlights and takeaways from our speakers.

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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 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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