Cloudflare Workers provides a serverless execution environment that allows you to create entirely new applications or augment existing ones without configuring or maintaining infrastructure. They support NodeJS and WebAssembly (WASM), as well as any language that can compile to WASM.

Delivered from over 250 locations worldwide, Cloudflare could be the best way to bring down that latency that’s plaguing your customers. Claiming 0ms for cold starts, automatic scaling, 100k free requests per day, and edge storage built-in: Cloudflare offers a pretty compelling edge compute platform for serverless workloads.

Let’s see how we can deploy a low-latency serverless URL shortener to Cloudflare Workers with Pulumi.

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There are two primary kinds of infrastructure as code tools: configuration management, like Ansible, Chef, and Puppet, which configure, patch, or upgrade existing servers, and provisioning, like Pulumi, Terraform, and CloudFormation, which create, update, and delete the underlying infrastructure itself. Provisioning has taken over from configuration management as the dominant form of IaC over the past decade as we’ve shifted to modern immutable infrastructure architectures that use containers, serverless, and managed services. And yet, configuration management still remains important and relevant, especially for heritage, stateful, server-centric, and on-prem or hybrid solutions. The good news is that it doesn’t need to be either-or choice: the two approaches are complementary. In this post, you’ll see how and why you might combine them by deploying a WordPress Server to AWS by provisioning infrastructure with Pulumi and configuring the server with Ansible.

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Let’s face it, at some point someone is going to modify your carefully-crafted and automated infrastructure without updating your Pulumi program. These changes cause the desired state of our Pulumi program’s to be inconsistent with the state of the world. These inconsistencies are often referred to as “drift”. In this article, I want to cover a couple of patterns for detecting and reconciling this drift with your Pulumi programs.

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When I was a kid growing up in Southern California, there was a phone number you could call to find out what time it was. It was a local number, 853-1212 (easy to remember as the arrangement of the numbers on the keypad made a capital T), and I used it all the time, to set my watch, adjust the alarm clock, fix the display on the VCR. I don’t recall the last time I used it, probably sometime in the mid ’90s, but I do remember clearly the sound of the voice at the other end of the line.

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In this article we’ll show you how to use Pulumi Components and the Pulumi Automation API to make golden path decisions which will both support your customers on multiple different clouds, and enable infrastructure teams and frontend service teams to more easily own their respective parts of your codebase.

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It’s a surprise to nobody that Pulumi’s YAML support has me rather excited, even though I’m unlikely to use YAML itself for Pulumi. So why do I find it exciting? Well, because it’s an open interface to provide support to many other programming languages for Pulumi.

Let’s take a look at using YAML as a bridge for CUE, JSONNET, and Rust.

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Starting today, users can create Stack READMEs in the Pulumi Service that dynamically update based on Stack Outputs.

Each Pulumi Stack you deploy manages a key set of cloud infrastructure for your organization. The Pulumi Console includes a variety of features for exposing key information about your stack for other users within your organization - configuration, outputs, resources under management, links to cloud providers, and a graph of all resources. However, it’s often useful to allow the author of a Pulumi Stack to describe in their own words the key elements of a stack, so future viewers can quickly understand the components and cloud resources that are managed.

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Why not do good while learning about cloud native tech? Buoyant, Civo, Cockroach Labs, Fairwinds, Pulumi, and Jetstack have teamed up to donate $2 for each virtual booth visitor to World Central Kitchen (WCK), a non-profit committed to providing meals in response to humanitarian crises.

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Over the last year since the launch of Pulumi 3.0, we’ve seen incredible growth in adoption and usage of the Pulumi open source project and Cloud Engineering platform, with more than a thousand new open source contributors, tens of thousands of new users, and millions of new cloud infrastructure resources being managed by Pulumi. Pulumi’s infrastructure as code tools are enabling teams to scale up their cloud infrastructure with robust software engineering tools and practices to get the most value out of their cloud platform investments.

Today, we’re excited to announce a wave of innovation across the Pulumi project with a collection of significant new feature launches. These new features bring together Pulumi’s Universal Infrastructure as Code offering, supporting the widest range of builders, clouds, programming languages, and cloud architectures.

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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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