google.cloud VS helm

If you're talking general cloud services, Google still does plenty of that. Stadia was being turned into a specific streaming thing that's now also dead, but that's separate from the rest of their cloud stuff.

Cloud Services: Cloud service providers, such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP), offer edge computing services that make it easier to deploy and manage edge computing devices. These services provide tools and platforms that simplify edge computing development and deployment, reducing the time and cost required to develop and deploy edge computing solutions.

These instruction will walk you through using Google Cloud "Free Tier" (https://cloud.google.com) as your VPS hosting provider. They are rated highly, with a very simple and slick interface. Although we'll be using the Free Tier, be warned that you will need to provide valid credit card information. (Of course, if you have a strong reason to use another provider, then by all means do so, but be sure to choose Ubuntu Server 20.04)

PAR 7 is one of the data camps Interxion has in France, and at the same time the newest. PAR7 is also known for its multiple collaboration with the largest cloud providers, such as Microsoft Azure, AWS, and Google Cloud.

If you haven't been living under a rock, you've probably heard of AWS. It is an abbreviation for Amazon Web Services. AWS (by Amazon) offers a wide range of cloud computing services, such as computing, storage, database, analytics, machine learning, networking, mobile, developer tools, security, and enterprise applications. for all of your requirements, eliminating the need for you to set up your own servers. It provides a flexible and scalable infrastructure that can be tailored to each user's unique requirements, and it is widely regarded as one of the leading cloud platforms available today. Google Cloud (by Google) and Azure (by Microsoft) are both major competitors to AWS.

https://cloud.google.com/docs/overview

Netlify and Vercel are multi-cloud platforms, meaning they equally employ GCP and AWS for their infrastructure.

1) Create your Google account. If you're using a CC/VCC with a name set, I'd recommend you fill the Name and Surname fields with the ones on the CC. 2) Proceed to https://cloud.google.com and sign up for the 365 day trial. 3) Use your CC/VCC to set up the trial. No charges to your CC/VCC will be made. 4) Create a new VPS in Compute Engine => VM Instances. 5) Done! You now have a free VPS. You can set any configuration and location you'd like. Can be used again only when the old account's trial expires.

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.