flux2 VS kubernetes

Given the team had already adopted GitOps and were familiar with deployments powered by Helm Releases and Flux, we wanted to move the provisioning of the infrastructure to be part of the same process of creating the service and its continuous deployment.

Your GitHub action can trigger a helm chart, or series thereof, or other infra tools. Declarative specifications, triggered procedurally with the context of the branch’s latest build. We use this pattern quite extensively for preview app workflows.

As of a year ago this is possible in a fully declarative way with Flux 2, but there’s a lot more moving parts and security footguns - and the idea that the maintenance of this project has lost one of its primary sponsors is worrying at best.

https://github.com/fluxcd/flux2/discussions/831

https://blog.kluctl.io/introducing-the-template-controller-a...

FluxCD - FluxCD is another popular GitOps tool that allows developers to use a Git repository as the sole source of configuration. Flux automatically ensures that the state of the Kubernetes cluster is synchronized with the configuration in the Git repository. It supports automatic updates, meaning Flux can monitor Docker image repositories for new images and push updates to the cluster.

#!/bin/bash aws eks update-kubeconfig --name $CLUSTER_NAME --region $AWS_REGION flux_installed=$(kubectl api-resources | grep flux) if [ -z "$flux_installed" ]; then echo "flux is not installed" curl -s https://fluxcd.io/install.sh | sudo bash flux bootstrap github \ --owner=$GH_USER_NAME \ --repository=$FLUX_REPO_NAME \ --path="clusters/$ENVIRONMENT/$CLUSTER_NAME/bootstrap" \ --branch=main \ --personal else echo "flux is installed" fi

Flux CD enables continuous deployment to Kubernetes through GitOps by syncing Git repositories with Kubernetes clusters. Flux CD enables GitOps for Kubernetes through source control integration. It manages Kubernetes manifests as code and syncs git repo changes to clusters. Flux automates checks, deployments, and updates within clusters.

FluxCD is a GitOps tool developed by Weaveworks that allows you to implement continuous and progressive delivery of your applications on Kubernetes. It is a CNCF graduated project that offers a set of controllers to monitor Git repositories and reconciles the cluster's actual state with the desired state defined by manifests committed in the repo.

From here, we can explore other developments and tutorials on Kubernetes, such as o11y or observability (PLG, ELK, ELF, TICK, Jaeger, Pyroscope), service mesh (Linkerd, Istio, NSM, Consul Connect, Cillium), and progressive delivery (ArgoCD, FluxCD, Spinnaker).

Instead, we will create a single long-lived cluster, and deploy our application in different namespaces. There are a bunch of ways to do that - see ArgoCD, Flux, custom internal tooling, or other solutions (we use our own product). That way, we:

One is to make sure configurations in both clusters is same. And for that there are many tools like fluxcd or projectsveltos

In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.

Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.

Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.

Deploying AI models into production requires tools that can package applications and manage them at scale. Docker simplifies the deployment of AI applications by containerizing them, ensuring that the application runs smoothly in any environment. Kubernetes, an orchestration system for Docker containers, allows for the automated deployment, scaling, and management of containerized applications, essential for AI applications that need to scale across multiple servers or cloud environments.

To learn more, you can start by exploring the official Kubernetes documentation.

With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.

This package is widely used for powerful CLI builds, it is used for example for Kubernetes CLI and GitHub CLI, in addition to offering some cool features such as automatic completion of shell, automatic recognition of flags (the tags) , and you can use -h or -help for example, among other facilities.

We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.

"You are holding it wrong", huh?

From the homepage https://kubernetes.io/:

"Kubernetes, also known as K8s, is an open-source system for automating deployment, scaling, and management of containerized applications."

Do you see "not recommended for smaller-scale applications" anywhere? Including on the entire home page? Looking for "small", "big" and "large" also yields nothing.