Posts Tagged aws

Run Your Own RSS Server on AWS with Pulumi

Run Your Own RSS Server on AWS with Pulumi

Some of the code in this post is out of date. See the AWS guides for an updated overview and examples.

It’s been a few years since Google shut down Google Reader, and while a number of nice commercial alternatives have sprung in its wake, none of them has ever been quite the right fit for me personally.

So a while back, after far too much time spent wandering the blogsphere manually, typing URLs into address bars by hand, I decided to go looking to see whether the universe had produced an open-source solution to this problem — and to my surprise and delight, it had! Miniflux is an excellent little open-source RSS server and reader, written in Go and backed by PostgreSQL, that also happens to be packaged as a Docker container. So in this post, I’ll show how easy it is to deploy a Miniflux server of your own on AWS, using only Pulumi and a few lines of TypeScript.

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Multicloud Kubernetes: Running Apps Across EKS, AKS, and GKE

Multicloud Kubernetes: Running Apps Across EKS, AKS, and GKE

Kubernetes clusters from the managed platforms of AWS Elastic Kubernetes Service (EKS), Azure Kubernetes Service (AKS), and GCP Google Kubernetes Engine (GKE) all vary in configuration, management, and resource properties. This variance creates unnecessary complexity in cluster provisioning and application deployments, as well as for CI/CD and testing.

Additionally, if you wanted to deploy the same app across multiple clusters for specific use cases or test scenarios across providers, subtleties such as LoadBalancer outputs and cluster connection settings can be a nuisance to manage.

In this post, we’ll see how to use Pulumi to deploy the kuard app across EKS, AKS, GKE and a local Kubernetes cluster, such as Docker Desktop or a self-managed cluster. We’ll spin up the clusters in each provider, launch the app, and manage both cluster and app using the TypeScript programming language.

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Persisting Kubernetes workloads with Amazon EFS CSI volumes

Persisting Kubernetes workloads with Amazon EFS CSI volumes

Some parts of this blog post are out-of-date. As an alternative, please refer to the EFS CSI Helm Chart and Pulumi’s support for deploying helm charts The Amazon Elastic File System Container Storage Interface (CSI) Driver implements the CSI specification for container orchestrators to manage the lifecycle of Amazon EFS filesystems. The CSI specification defines an interface along with the minimum operational and packaging recommendations for a storage provider to implement a CSI compatible plugin.

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ECS vs Fargate vs EKS: The Lowdown on Containers in AWS

ECS vs Fargate vs EKS: The Lowdown on Containers in AWS

Some of the code in this post is out of date. See the AWS guides for an updated overview and examples.

Amazon offers multiple solutions for running containers in AWS, through its managed Elastic Container Service (ECS). This includes three major approaches: ECS managed automatically with Fargate, ECS backed by EC2 instances, and Elastic Kubernetes Service (EKS), delivering the full power of Kubernetes. It's not always easy to choose between these, so in this article we provide some basic guidance on the tradeoffs you'll encounter when choosing.

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AWS CloudWatch made easy with Pulumi Infrastructure-as-Code

AWS CloudWatch made easy with Pulumi Infrastructure-as-Code

Pulumi Crosswalk for AWS modules can be used to get first class insights and visualizations directly inside your Pulumi application.

As cloud applications tend to be long-lived, we think it’s vital that it be possible to get regular insights on the performance of the application at all times. Using Crosswalk for AWS Pulumi applications allow you to easily define and visualize the appropriate metrics that show the health of your services, create alarms to let you know when something is wrong, and easily create dashboards to get live visualization of what is happening in the cloud. Because this is vital to the health of the application, we think this should be something built in from the start, and not something added after the fact as an out of band artifact.

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Mapbox IOT-as-code with Pulumi Crosswalk for AWS

Mapbox IOT-as-code with Pulumi Crosswalk for AWS

Guest Author: Chris Toomey, Solution Architect Lead @ Mapbox

With 8 billion+ connected IoT devices and 2 billion GPS-equipped smartphones already online, logistics businesses are tracking assets at every step in the supply chain. At this scale and complexity, it is imperative to have a flexible way to ingest, process, and act upon this data, without sacrificing security or best practices.

To meet this need, Mapbox has created an Asset Tracking Solution that uses Pulumi’s open source JavaScript libraries (AWS, AWSX) available with multi-language support with Pulumi Crosswalk for AWS. Pulumi Crosswalk for AWS is an open source framework that streamlines creation, deployment and management of AWS services with built-in AWS Best Practices and minimal lines of code in common programming languages.

In this blog, we will show snippets of the Javascript code that embraces the power of Pulumi to program AWS service APIs to create the Mapbox solution. To see the full architecture in action with a live bike race across America, please refer to this webinar recorded on June 13th 2019 and the Mapbox asset tracking solution. Also refer to this blog of the Race across America showcased live during the webinar tomorrow.

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Introducing Pulumi Crosswalk for AWS: The Easiest Way to AWS

Introducing Pulumi Crosswalk for AWS: The Easiest Way to AWS

Some of the code in this post is out of date. See the AWS guides for an updated overview and examples.

Amazon Web Services provides an incredible platform for developers to build cloud-native applications, and is used by millions of customers of all sizes. The building block services that AWS offers enable teams to offload undifferentiated heavy-lifting to AWS. To maximally benefit from these services though, cloud engineering teams must learn how to compose all of these building blocks together to build and deliver their own applications. Today, this is still too hard. Getting from your laptop to a production-ready AWS deployment frequently takes days or weeks instead of minutes or hours. And AWS building block services frequently leave you to re-implement (and re-discover) best-practices instead of providing these as smart defaults.

Pulumi Crosswalk for AWS is a new open source library of infrastructure-as-code components that make it easier to get from zero to production on AWS, easier to adopt AWS best practices by default, and easier to evolve your AWS infrastructure as your application needs mature.

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Continuous Delivery with GitLab and Pulumi on Amazon EKS

Continuous Delivery with GitLab and Pulumi on Amazon EKS

In this blog, we will work through an example that shows how to use Pulumi to enable GitLab-based continuous delivery with your Kubernetes workloads on Amazon EKS. This integration will work just as seamlessly for any Kubernetes cluster, including Azure AKS or Google GKE, using the relevant Pulumi libraries for Azure and Google Cloud.

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Get Started with Docker on AWS Fargate using Pulumi

Get Started with Docker on AWS Fargate using Pulumi

Some of the code in this post is out of date. See the AWS guides for an updated overview and examples.

Update: Check out the Learning Machine Case Study where provisioning went from 3 weeks to 1 hour with Pulumi and AWS.

“The impact of serverless capabilities was also transformative for the Learning Machine business. Pulumi enabled a rapid shift to Amazon ECS, AWS Fargate and AWS Lambda — the net effect of which was a 67% reduction in AWS charges. This enabled the team to spend less time focused on maintaining existing infrastructure and more time deploying new applications on AWS and adding new customers.

Pulumi is the foundational technology that allowed us to transform our organization,” said Hughes. The entire DevOps process was streamlined and in addition to realizing better productivity and higher quality, the team has new insight into their SaaS offering that they never thought possible.”

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Protecting Your APIs with Lambda Authorizers and Pulumi

Protecting Your APIs with Lambda Authorizers and Pulumi

Creating serverless applications just got even easier! You can now protect your application APIs in just three easy steps. We’ve already posted about how easy it is to create serverless apps in Pulumi. Now, we’re helping you simplify protecting those apps with API Gateway and Lambda authorizers.

With Pulumi’s new AWSX package, you can quickly define a Lambda and an AWS Lambda authorizer to protect it. We’re once again harnessing the power of Lambdas as Lambdas to allow developers to focus on writing code.

Today, we will walkthrough creating a simple serverless app using AWS and Pulumi. We will simplify implementing the OAuth protocol by using Auth0 and AWS Lambda authorizers to authorize users. Auth0 provides a universal authentication and authorization platform for applications. It has become an extremely popular platform for user management because Auth0 makes OAuth easy.

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