kubernetes-ingress VS kind

Everything in the YAML snippets below — except for ingress configuration — relates to configuring the NGINX ingress controller. This includes customizing the default configuration.

In these examples, I assume that users have deployed an nginx-ingress-controller to their cluster through the eks layer. This controller is responsible for creating an nlb and exposing Elasticsearch and Kibana to the internet through their ingresses.

Now, you need to install the Nginx Ingress Controller so that it can redirect incoming requests to your payment app to use HTTPS. Since you've exposed the app using nodePort, you need to install the Ingress using a custom value file that specifies the service type to NodePort.

Kubernetes We have a kubernetes cluster which has a dropwizard based web application running as a service. This application has a rest uri to upload files. It cannot upload files larger than 1MB. I get the following error: ERROR [2017-07-27 13:32:47,629] io.dropwizard.jersey.errors.LoggingExceptionMapper: Error handling a request: ea812501b414f0d9! com.fasterxml.jackson.core.JsonParseException: Unexpected character ('<' (code 60)): expected a valid value (number, String, array, object, 'true', 'false' or 'null')! at [Source: ! 413 Request Entity Too Large! ! 413 Request Entity Too Large! nginx/1.11.3! ! Hide resultsI have tried the suggestions given in https://github.com/nginxinc/kubernetes-ingress/issues/21. I have edited the Ingress to set the proxy-body-size annotation. Also, I have tried using the configMap without any success. we are using kubernetes version 1.5. Please let me know if you need additional information. Answer link : https://codehunter.cc/a/kubernetes/kubernetes-cannot-upload-files-larger-than-1mb

The example below shows how to configure a canary deployment using Nginx Ingress. The custom annotations used here are specific to Nginx:

This: https://kubernetes.github.io/ingress-nginx/ Not this: https://docs.nginx.com/nginx-ingress-controller/

So far, i've been following the example here to set up an nginx Ingress Controller and some test services behind it. However, I am unable to follow Step 6 which displays the external IP for the node that the load balancer is running on as my node does not have an ExternalIP in the addresses section, only a LegacyHostIP and InternalIP.

Also, of personal note, I highly recommend you use the "ingress-nginx" controller which has a huge community and is of much higher quality and flexibility than the "nginx-ingress controller by nginx inc". I've had a lot of success with dozens of clients with this controller. It rocks!

For example, the ingress project from NGINX has its own CRDs that give better control over service versions and blue/green and canary cutovers https://github.com/nginxinc/kubernetes-ingress/tree/v3.0.0/examples/custom-resources/traffic-splitting

Have you tried https://kind.sigs.k8s.io/? If so, how does it compare to k3s for testing?

To get started, you'll need to install clusteradm and kubectl and start up three Kubernetes clusters. To simplify cluster administration, this article starts up three kind clusters with the following names and purposes:

Kind: is a tool for running local Kubernetes clusters using Docker container "nodes." It was primarily designed for testing Kubernetes itself but can also be used for local development or continuous integration.

Fortunately, just as projects like kind and Minikube enable developers to spin up a local Kubernetes environment in no time, CRC, also known as OpenShift Local and a recursive acronym for "CRC - Runs Containers", offers developers a local OpenShift environment by means of a pre-configured VM similar to how Minikube works under the hood.

I recently purchased a used Lenovo M900 Think Centre (i7 with 32GB RAM) from eBay to expand my mini-homelab, which was just a single Synology DS218+ plugged into my ISP's router (yuck!). Since I've been spending a big chunk of time at work playing around with Kubernetes, I figured that I'd put my skills to the test and run a k3s node on the new server. While I was familiar with k3s before starting this project, I'd never actually run it before, opting for tools like kind (and minikube before that) to run small test clusters for my local development work.

Features compared to https://kind.sigs.k8s.io/

Kind allows you to run a Kubernetes cluster inside Docker. This is incredibly useful for developing Helm charts, Operators, or even just testing out different k8s features in a safe way.

Check out KinD

If you're just messing around, just use kind (https://kind.sigs.k8s.io) or minikube if you want VMs (https://minikube.sigs.k8s.io). Both work on ARM-based platforms.

You can also use k3s; it's hella easy to get started with and it works great.

We'll install APIClarity into a Kubernetes cluster to test our API documentation. We're using a Kind cluster for demonstration purposes. Of course, if you have another Kubernetes cluster up and running elsewhere, all steps also work there.