Posts Tagged kubernetes

Pulumi provides an amazingly rich interface for developers and operators to define their Kubernetes workloads, providing typed access to recourses from the Kubernetes API and allowing our IDEs to provide code completion and refactoring opportunities through the native language plugins. As great as that is, it’s always gotten a little cumbersome when it comes to Custom Resource Definitions (CRDs), as the first option is to leverage the CustomResource escape-hatch that allows you to define any Kubernetes object you wish; however this does mean we lose the rich interface we’ve become accustomed to.

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This time last year, I presented Applying the Law of Demeter to GitOps at GitOps Days 2020. The Law of Demeter is a design principle, proposed in 1988, which encourages loose coupling between systems. During this session, I wanted the audience to understand and be able to identify when their applications and continuous delivery pipelines have too much knowledge of the platform in which they’re going to run. As an industry, we’re seeing a great deal of momentum towards Platform Engineering and with this comes a Broca divide, a strict division of responsibilities: to build a platform and to consume a platform.

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KubeCon North America 2021 is over, but the recordings are now online! Every talk you wanted to attend and couldn’t is available on YouTube, so here’s some highlights—cloud native trends, updates from projects and SIGs, and a few of my favorite talks!

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Last year we released the Pulumi Kubernetes Operator, a new cloud-native way to manage and deploy cloud infrastructure using Pulumi from within your Kubernetes environment. Since then, we’ve worked with many Pulumi users who have adopted the Pulumi Kubernetes Operator at increasingly larger scales and for a wide variety of use cases. Today, we’re excited to make the 1.0 release of the Pulumi Kubernetes Operator available.

The Pulumi Kubernetes Operator defines a Kubernetes Custom Resource called pulumi.com/v1/Stack, which represents a Pulumi stack. The Pulumi stack can be authored in any supported Pulumi language (TypeScript, Python, Go, .NET) and can deploy and manage cloud infrastructure in any supported cloud (AWS, Azure, GCP, Kubernetes and 60+ additional cloud and SaaS providers). The Pulumi Kubernetes Operator triggers cloud deployments based on changes to the Stack Custom Resource or the resources it tracks.

As a result, the Pulumi Kubernetes Operator enables users to specify the desired state of their cloud infrastructure using resources managed directly in their Kubernetes cluster, which trigger creation, update and deletion of the detailed cloud infrastructure they need.

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Kubernetes has been a significant focus of Pulumi since its very beginnings. Pulumi added support for installing Helm charts way back in 2018 and it has seen significant adoption by users since. However, Pulumi’s current Chart integration lacks support for some increasingly common advanced features in Helm charts, e.g.:

1. Support for Helm lifecycle hooks
2. Handling sub-charts and dependencies

As Helm and its usage evolved over the years, Pulumi users using the Chart resource have often had to get very creative in order to get the desired functionality in their deployments.

Today we are excited to announce the public preview of a new Helm Release resource starting with v3.7.0 of the Pulumi Kubernetes Provider and SDK in all Pulumi supported languages. This new resource provides Pulumi users more options to choose the right tool for their use-case. The rest of this blog post will highlight how this resource differs from the existing Helm Chart component resource and describe how and when to use the new resource.

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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 blog, we’re going to build off part one by learning about managed Kubernetes services: what they are, when they’re useful, and how you can try deploying to one yourself, starting with Google’s Kubernetes Engine (GKE).

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All modern software is cloud software, and it’s more than likely that it runs on Kubernetes. Developers are faced with the challenge of deploy applications composed of many microservices. And each microservice adds to the complexity of the deployment.

This article reviews the different methods for deploying applications on Azure Kubernetes Service (AKS).

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History lesson time! In 2011, microservices debuted as an architectural style suited for the cloud. In 2013, Docker simplified building containers. Combining containers and microservices sparked a change in how applications were built and distributed in the cloud. As performance, scaling, and reliability became an increasing concern, container orchestration platforms became widely available. Kubernetes became the dominant container orchestration through community and corporate support, and some have suggested it was inevitable. Every major cloud service provider, including Azure, offers a version of Kubernetes.

Kubernetes streamlines container deployment and management, making applications scale and accessible. This article demonstrates configuring and deploying Kubernetes with Azure.

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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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Provisioning, managing, and monitoring a Kubernetes cluster is not easy. AWS now offers EKS to reduce that burden – but it’s still difficult to get up and running. Pulumi’s infrastructure as code SDKs can help! We can provision an entire EKS cluster with a single CLI command, thanks to the @pulumi/eks package. Let’s see how.

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