aws-load-balancer-controller VS helm

I thought at the beginning that such certificate would then expire, but I have seen cert-manager is within ALB code https://github.com/kubernetes-sigs/aws-load-balancer-controller/blob/main/config/certmanager/certificate.yaml so that makes me hesitate about it.

Detailed behavior changes can be found in the release notes for version 2.6.0 of the AWS Load Balancer Controller. https://github.com/kubernetes-sigs/aws-load-balancer-controller/releases The key points include:

If you are using Kubernetes, you can enable security groups on your NLB by using AWS Load Balancer controller version 2.6.0 or later. Enabling NLB security groups using the controller enhances the nodes' security, as inbound rules can be simplified by referencing the NLB security groups. It also provides scaling improvements, as the controller keeps a constant number of security group rules per cluster.

I use the AWS Load Balancer Controller: https://github.com/kubernetes-sigs/aws-load-balancer-controller.

You can install the AWS Load Balancer Controller, and then create an "Ingress" when you install your Nginx Ingress controller, possible with some necessary annotations.

aws-load-balancer-controller

Yes. Google's ingress controller talks to the GCP API and spins up an HTTP LB for you. The AWS LB Controller handles provisioning ALB's for you. And ... I guess other clouds exist too but these are the ones I am familiar with.

NLB don't support weighted target groups and for some reason are extremely slow when adding instances o removing them from target groups, which makes deployments a bit meh (old instances and new instances can be receiving traffic at the same time for up to 2 mins)

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.

helm: brew install helm