kubernetes-ingress VS helm

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

Applying Kubernetes manifests individually is problematic because files can get overlooked. Packaging your applications as Helm charts lets you version your manifests and easily repeat deployments into different environments. Helm tracks the state of each deployment as a "release" in your cluster.

helm

Explanation here: https://github.com/helm/helm/issues/12681#issuecomment-19593...

Looks like it's a bug in Helm, but actually isn't Helm's fault, the issue was introduced by Fedora Linux.

Helm (Get from here https://helm.sh/)

It’s also well understood that having a k8s cluster is not enough to make developers able to host their services - you need a devops team to work with them, using tools like delivery pipelines, Helm, kustomize, infra as code, service mesh, ingress, secrets management, key management - the list goes on! Developer Portals like Backstage, Port and Cortex have started to emerge to help manage some of this complexity.

Kubernetes orchestrates deployments and manages resources through yaml configuration files. While Kubernetes supports a wide array of resources and configurations, our aim in this tutorial is to maintain simplicity. For the sake of clarity and ease of understanding, we will use yaml configurations with hardcoded values. This method simplifies the learning process but isn’t ideal for production environments due to the need for manual updates with each new deployment. Although there are methods to streamline and automate this process, such as using Helm charts or bash scripts, we’ll not delve into those techniques to keep the tutorial manageable and avoid fatigue — you might be quite tired by that point!

Helm is a package manager that automates Kubernetes applications' creation, packaging, configuration, and deployment by combining your configuration files into a single reusable package. This eliminates the requirement to create the mentioned Kubernetes resources by ourselves since they have been implemented within the Helm chart. All we need to do is configure it as needed to match our requirements. From the public Helm chart repository, we can get the charts for common software packages like Consul, Jenkins SonarQube, etc. We can also create our own Helm charts for our custom applications so that we don’t need to repeat ourselves and simplify deployments.

We can search for charts https://helm.sh/ . Charts can be pulled(downloaded) and optionally unpacked(untar).

Generally I felt as if I was diving in the deepest of waters without the correct equipement and that was horrifying. Unfortunately to me, I had to dive even deeper before getting equiped with tools like ArgoCD, and k8slens. I had to start working with... HELM.

Within the architecture of Cyclops, a central component is the Helm engine. Helm is very popular within the Kubernetes community; chances are you have already run into it. The popularity of Helm plays to Cyclops's strength because of its straightforward integration.