Posts Tagged aws

AWS Enterprise Container Management with Pulumi

AWS Enterprise Container Management with Pulumi

Managing containers and Kubernetes clusters are consistently popular topic areas on the Pulumi blog and in our docs. Our customers regularly cite that Pulumi simplifies container management scenarios, making it the primary reason for choosing Pulumi to define, deploy and manage all of their cloud resources. This includes teams that are just starting their cloud journey and spinning up their first project, as well as teams that want to modernize their apps and services with cloud-native architectures or even scale from one to many clouds.

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Deploying Lambda Function URLs

Deploying Lambda Function URLs

Since its introduction in 2014, the AWS Lambda service has steadily grown from ‘functions as a service’ to a powerful serverless platform that enables cloud engineers to run code without provisioning or managing underlying infrastructure.

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Announcing v5.0.0 of the Pulumi AWS Provider

Announcing v5.0.0 of the Pulumi AWS Provider

We are excited to announce v5.0.0 of the Pulumi AWS provider. The AWS provider is one of the most heavily used providers across the Pulumi ecosystem, and offers access to the full surface area of the upstream Terraform AWS Provider from within Pulumi projects in all supported Pulumi languages. The v5.0.0 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.

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API Gateway to EventBridge with Pulumi

API Gateway to EventBridge with Pulumi

If you’ve spent any time with Amazon API Gateway, you know it’s all about making it easier to manage a serverless REST API. But did you know you can do more with API Gateway than just invoke Lambdas? In this post, you’ll learn how to use Pulumi to connect API Gateway with EventBridge, Amazon’s serverless event bus, to build loosely coupled, scalable and maintainable apps and systems.

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Pulumi and LocalStack — beyond the basics

Pulumi and LocalStack — beyond the basics

Recently, Pulumi community member Josh Graham decided to bootstrap a simple application using a serverless approach, with a focus on using good engineering practices and being able to run the application locally. Given that Josh is the (OG) SaaS architect of Atlassian and an AWS user, LocalStack was a natural choice.

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Using AWS Quick Starts with the Pulumi Registry

Using AWS Quick Starts with the Pulumi Registry

As somebody who works on AWS projects across numerous projects, teams, and industries; I see the following three common types of infrastructure problems. I think the Pulumi Registry provides an incredible solution to each of these problems and will fundamentally change how people interact with AWS.

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Cloud Systems: Deploying to Amazon ECS

Cloud engineering is taking over software development. In a lot of ways, this is great; it allows us to build and deploy more complicated applications with less difficulty, and maintaining those applications becomes less troublesome too. We can release smaller updates more quickly than ever, ensuring that we can stay on top of feature requests and security issues. That said, the rise of cloud engineering has also introduced a lot of complexity in the form of dozens of services even within just one cloud provider. Figuring out where to start can be tough, so let’s take a practical tour! In this series, I’ll walk you through building a personal website and deploying it using modern cloud engineering practices.

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Announcing the Pulumi AWS Native Provider, Powered by the AWS Cloud Control API

Announcing the Pulumi AWS Native Provider, Powered by the AWS Cloud Control API

The AWS Native Provider was renamed as the “AWS Cloud Control Provider” in October 2024.

We are excited to announce the release of the new AWS Native provider for Pulumi, which is available today in preview. AWS is the most-used cloud provider across the Pulumi ecosystem, and with the new AWS Native provider, we are focused on delivering the best possible support for the AWS platform to all Pulumi users.

Pulumi Native Providers like AWS Native 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, with faster updates and more complete coverage than any other infrastructure as code offering.

The AWS Native provider offers same-day support for all new AWS features and releases covered by the newly released AWS Cloud Control API, which typically supports new AWS features on the day of launch. By building on the AWS Cloud Control API, the AWS Native provider offers a robust, reliable and well-defined resource model for AWS that’s available to Pulumi users in all Pulumi languages, including TypeScript, Python, Go and C#. By leveraging the AWS Cloud Control API, the AWS Native provider builds on the work done by service teams at AWS to define the resource model for their services. This ensures a rock solid provisioning lifecycle for resources deployed with the AWS Native provider.

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AWS Lambda Functions Powered by AWS Graviton2 Processors

AWS Lambda Functions Powered by AWS Graviton2 Processors

In late 2018, AWS launched their first EC2 instances powered by ARM-based AWS Graviton Processors. These instances had been optimized for performance and cost. Since that initial launch, Amazon has continued to innovate in the Graviton space. In June 2021, they launched the Graviton Challenge for users to move their applications to AWS Graviton2. AWS Graviton2 processor instance types are up to 20% lower cost than x86 based instance types and see up to 40% better price performance.

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How to Use ECS Anywhere with Pulumi [Step-by-Step Guide]

How to Use ECS Anywhere with Pulumi [Step-by-Step Guide]

This post is outdated and contains references to a pre-release version of Pulumi Crosswalk (@pulumi/awsx). For updated AWSx documentation and examples, see the AWS Guides.

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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