So you want to be an Azure dev and all-around infrastructure wizard? Let’s start with the basics, virtual machines! In the previous article, the common use case for virtual machines is migrating applications from dedicated hardware. You want full control of the machine to install required software for the application or configure storage and networking.

Azure provides many ways to create and configure virtual machines ranging from the Azure CLI to the Azure Portal. In this article, we’ll first create a virtual machine using the portal to understand the requirements and process; then, we’ll do it with code using Pulumi’s Azure Native provider, which is built directly from the Azure Resource Manager API.

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One of the most fulfilling aspects of working at Pulumi is learning how customers and the community practice cloud engineering in their teams. It’s exciting to see how they use cloud engineering and Pulumi to implement best practices that enable leveraging the cloud to accelerate innovation and enable better business outcomes.

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The Azure cloud platform includes over 200 products and cloud services. Wherever you are in your Microsoft cloud engineering journey, you should be familiar with these top 5 cloud tasks that are essential building blocks commonly used to deploy applications and infrastructure to the Azure cloud.

In this series of articles, we’ll go in-depth on virtual machines, Azure Functions, static websites, building an Azure Kubernetes Service cluster and deploying applications on AKS, and DevOps with Azure App Service.

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Another great iteration has just wrapped up, so it’s time for another edition of the Pulumi release notes! We’ve been busy smashing bugs across our products (over 100!), but we’ve also got several new updates across Pulumi providers, the CLI, and the Pulumi Service:

• New and updated cloud providers
  • Pulumi Kubernetes Operator supports GitOps workflow
  • 12 new resources in the Azure Native provider
  • Google Native: autonaming; easier management of project and region settings
• Pulumi CLI and core technologies
  • Automation API: Select your backend
  • Better handling of subtypes in Python
• Pulumi Service and Pulumi.com
  • Get started with Pulumi, directly from the Pulumi Service

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Kubernetes is everywhere now, but it’s primarily been the domain of people working on the Ops side of infrastructure. What about devs, though? You benefit from knowing what Kubernetes is and how to use it, too – otherwise, we’re still putting teams in silos. In this tutorial, we’re going to define Kubernetes at a high level, talk about the anatomy of a cluster, and learn not just why you should care but how to try it for yourself. We’ll start with local deployments using YAML before getting a little help from infrastructure as code with Pulumi to stand up everything right inside our sample application in a programming language you’re already writing!

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When we think about the idea of “cloud engineering,” we often think about the concept of taking standard software engineering practices and tools, and making them available and consistent across development, infrastructure, and compliance teams.

It sounds a lot like what DevOps was supposed to accomplish, right? Many great practices have come out of software engineering that we can apply to operations and infrastructure. Likewise, practices from operational disciplines are equally applicable to development teams.

In cloud engineering, we look at how all of these practices are available to multiple functions and teams. It’s a compelling concept, and the more that we refactor our thinking around this, the more effective we can be at delivering value to our customers and users.

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In the previous article we discussed how to apply software testing methodologies to cloud engineering. We also examined testing regimes starting from the testing pyramid to the trophy and honeycomb models of testing better suited to distributed and cloud architectures. These testing regimes include three types of tests suited for cloud architectures:

• unit tests for testing methods and functions within a service
• property tests for validating specified service outputs
• integration tests to ensure that resources interact as specified

In this article, we’ll do a deep dive into each of these testing methods.

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In this update:

• New and updated cloud providers
  • Pulumi supports Confluent Cloud
  • GitHub Actions guide in all languages
  • Kubernetes: new skipAwait option
  • 10 new resources in the Azure Native provider
  • Google Native provider adds support for enums and more
• Pulumi CLI and core technologies
  • New replaceOnChanges resource option
  • pulumi watch now supports a --path option
  • Improved Python performance
• Pulumi Service and Pulumi.com
  • New usage-based pricing for your whole team

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Today we are launching Pulumi Team Edition, a new way for teams to adopt and use Pulumi and the Pulumi Service to collaborate on building, managing and deploying cloud infrastructure as code. Pulumi Team Edition is priced based on the number of cloud resources under management, with a generous free tier to ensure that teams can get up and running with Pulumi Team Edition at no cost.

Pulumi Enterprise Edition, which offers larger organizations advanced security, policy, access control, support and billing options, is also now available with usage-based pricing, including prepaid options with bulk discounts available.

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At Pulumi, we have a tradition of hosting hackathons every so often to play with concepts and ideas that we may not typically encounter in our day-to-day product building activities. This past week, we’ve had two separate back-to-back hackathons. Our first hackathon, which was open to the community, focused on using our new multi-language component capabilities. Multi-language components allow developers to author reusable infrastructure abstractions in one language and make them available to others in all the languages that Pulumi supports. We were really excited to see what everyone would build!

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