Bigtable is a fully managed NoSQL database on Google Cloud. It’s designed for low latency data access, where scalability and reliability really matter. And it’s actually the same technology behind the majority of Google products, including Gmail, Maps, YouTube; Each of which serves multi-billion users.
Google has been working with containers internally since 2003. In 2006 they introduced cgroups to the linux kernel. Kubernetes and GKE are introduced to the world in 2014. Today Google deploys 4 billion containers every week.
The Cluster Registry is part of the kubernetes foundation but is not included in the distribution by default. It’s added through a simple kubectl apply command. The cluster registry provides a simple yet powerful feature in that it enables a new resource type of Cluster to be added to your api calls.
In this example we’ll create a single Istio mesh across multiple regionally separated GKE clusters. Once setup, we’ll demonstrate the installation using Istio’s BookInfo application.
While you can accomplish this on your laptop, I’ll be demonstrating through Google Cloud Shell, which already includes many of the tools we’ll be using, as well as a standard environment we can all work from.
This article is a follow up to a couple previous ones, namely Global Kubernetes in 3 Steps on GCP which walks through setting up a global cluster, and Global ingress in practice on Google Container Engine — Part 1: Discussion which discusses how you would use a Global cluster with a Google LoadBalancer for Ingress.
In this article I’ll cover a variety of challenges I faced and solutions I figured out when deploying a real app to a Global Federated cluster using GCE ingress controller. In part 1 I’ll discuss the concepts, and in part 2 we’ll do an end to end deployment with real code.
Global Kubernetes in 3 Steps Creating a globally federated kubernetes cluster may sound daunting but it really only takes a few small steps.
Create the project and clusters Install and Join to kubefed Deploy globally The kubefed utility takes most of the effort out of this process.
Deis allows you to quickly deploy applications using just a few short commands:
Create, Configure and Pull. Since your app is deployed as standard Kubernetes pods, you can take advantage of all the robust capabilities k8s offers, coupled with the simplicity of deploying to a Paas.
Overview Using Google’s Private Container Registry with Docker Google’s Container Registry provides a managed and private repository for storing your Docker images. With a simple gcloud command you can push and pull to your private google project repository.
In this tutorial we’ll walk through how to export your billing data to big query. We’ll then explore the schema and answer some common questions by querying the data.
Before you begin You’ll need to setup billing export to big query for your project.