Denis Willett is a software engineer at the North Carolina Institute of Climate Studies who works on the NOAA Open Data Dissemination Program. His work focuses on leveraging cloud technologies for the development of data processing and machine learning pipelines. Denis did his PhD in Entomology and Nematology at University of Florida and his undergraduate and masters work in Earth Systems at Stanford University. You can read his full bio here.

NOAA Open Data Dissemination (NODD) makes environmental data freely and publicly accessible across Amazon Web Services (AWS), Microsoft Azure (Azure), and Google Cloud Platform (GCP). These data include near real-time satellite imagery, weather models, radar feeds, drought information, ocean databases, and a suite of climate data records among many others. This program supports more than 220 datasets and over 24PB of open data. Since its inception, the program has been growing rapidly, almost doubling in size over the past year.

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In addition to our Cloud Engineering Days launches, we have been busy shipping improvements in the last 2 months. Let’s walk through the release highlights across Pulumi engineering areas from September and October. 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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Whether you’re building a new application or moving an existing application over from another provider, the basic framework of your infrastructure probably isn’t something you want to worry about if you don’t have to. The cloud is complicated enough as it is. With Architecture Templates, Pulumi takes on some of the work involved in deploying your application to the cloud provider of your choice. Let’s take a tour of the new Serverless Templates for AWS, GCP, and Azure!

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If you’ve deployed resources to your favorite cloud provider, you have probably found yourself sitting in the console thinking: “I don’t know how long this is going to take.” Then you deploy the resource and think: “When did I even start this?” When using Pulumi, the CLI prints out how long the update took after it ran, but while you’re in the moment, it feels like ages.

We’re excited to announce a CLI usability enhancement

You can now see how long each of your resources are taking to deploy.

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Our mission at Pulumi is to enable teams to scale up what they can build in the cloud. Scale up the sophistication and value of their cloud infrastructure investments through software engineering practices. Scale up the automation around delivering cloud infrastructure with software instead of just humans. And scale up the number of developers who can directly benefit from the rich cloud platform capabilities being built by central platform teams in every organization today.

As part of Pulumi Cloud Engineering Days 2022 today we are announcing a set of important new advancements in the Pulumi platform which are all designed to help organizations scale with their infrastructure as code needs.

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Adoption of modern cloud technologies and services is driving enormous value for organizations, but many companies are finding that deploying and managing cloud infrastructure is a bottleneck on how fast they can scale. When your tools can’t keep up, scaling your cloud footprint means proportionally scaling your headcount. Things quickly fall apart as demand for cloud infrastructure often outpaces the bandwidth of infrastructure teams. This leads to slow product releases, longer lead times to get new products to market, and burned-out operational teams.

At Pulumi, we want every engineer and organization to be able to take full advantage of the cloud. The cloud should be an accelerant to your business and not a bottleneck. Today we are excited to be launching Pulumi Deployments, a new collection of features to power infrastructure and platform automation and unlock the scale of the cloud.

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Earlier this year we launched support for Pulumi YAML as a new supported language for Pulumi’s Universal Infrastructure as Code platform. Pulumi YAML offers a simple declarative interface to the full breadth of the Pulumi platform, ideal for smaller scale use cases and composition of higher level component building blocks. And with support for pulumi convert, Pulumi YAML programs can be converted into a program in any other Pulumi language, ensuring you can easily scale up if and when needed.

Today, we’re excited to announce the General Availability of Pulumi YAML with the release of Pulumi YAML 1.0.

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One of our most up-voted feature requests (with 78 thumbs ups) is to support hierarchical config. We’re happy to announce that we’ve now released the first part of plans to support this feature.

Pulumi will now allow you to set configuration values in your Pulumi.yaml file, using the given value as a default for all stacks in the project. While we expect even this first level of support will be incredibly useful to many people we also want to assure you that we have many more plans in place to make this feature even better.

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Pulumi’s Universal Infrastructure as Code platform works with all major clouds and over 100 cloud and SaaS providers, but among all its uses one of the most important is the ability to bring rich Infrastructure as Code tools and practices to Kubernetes projects and teams.

Kubernetes is one of the most used platforms in Pulumi, second only to AWS, with thousands of organizations using Pulumi to manage clusters at scale. Pulumi supports a wide variety of use cases around Kubernetes - from cluster creation and management, to rich and expressive workload definition, to continuous delivery and infrastructure GitOps.

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🚀 Deploying cloud infrastructure is hard. Getting the architecture right from the start can be time-consuming. What if you could skip the hassle and start with prebuilt, best-practice templates?

📢 Pulumi Architecture Templates let you scaffold cloud infrastructure instantly with a single command. Whether you’re launching a serverless app on AWS, a container service on GCP, or a Kubernetes cluster on Azure, Pulumi gives you ready-to-use templates to get started faster.

➡️ Let’s dive in and see how these templates simplify cloud deployments.

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