Getting Started with Kubernetes Series

Containers solved the problem of moving software from one environment to another because they encapsulate all the software dependencies. However, an orchestration platform is needed to manage containers at scale. Kubernetes is a popular open-source solution that uses declarative configuration to specify the desired state of the application. Configuring and deploying an application on Kubernetes is often accomplished with YAML files to define the state and command line tools to manage and control the Kubernetes API. This article demonstrates how to use infrastructure as code to create basic Kubernetes objects and higher-level abstractions that build upon the basic objects.

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Welcome to the second article in a series using infrastructure as code to deploy applications with Kubernetes. The series walks you through building a Kubernetes cluster on cloud providers, deploying applications, and “Day 2” activities such as migrating Node groups. In the previous article, we showed how to create a Kubernetes cluster for AWS, Azure, and GCP. In this installment, we’ll learn how to deploy an application using Kubernetes objects.

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Welcome to the third article in a series using infrastructure as code to deploy applications with Kubernetes. In the previous post, we reviewed basic Kubernetes objects and abstractions used when deploying an application. We examined code examples across the cloud providers to show how to use infrastructure as code to deploy an application using Kubernetes objects. In this installment, we’ll progress from a simple deployment with just a single application container to a complex application with multiple containers and Pods.

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This article is the fourth in a series using infrastructure as code to deploy applications with Kubernetes. This series walks you through:

• Building a Kubernetes cluster on cloud providers
• Basic application deployment
• Advance application deployment and Helm charts
• Stateful applications
• Networking
• “Day 2” activities such as migrating node groups.

In the previous post, we examined different methods for deploying applications. We worked through examples of a boilerplate deployment, to one using ComponentResources to automate deployment further, and deploying with Helm charts. In this installment, we’ll look at how to deploy stateful applications, such as databases, in Kubernetes. Unlike stateless applications, stateful apps require persistent storage, which presents scaling and availability challenges.

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In previous installments, we examined how to deploy applications. However, we only touched on how applications talk to each other inside and outside the cluster. Whether you are building a modern application or modernizing a legacy application, understanding how resources and components talk to each other is essential. In this installment, we’ll examine networking in Kubernetes.

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Your application made it out of the dev stage, passed the testing stage, and arrived in production. As a developer, you might think that it’s an ops problem now. However, DevOps is a collaborative effort between developers and operators to build and maintain applications using shared techniques and processes, often called “Day 2” activities.

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