pluto VS flux2

You can get all the code for this example from here. This link provides an online IDE for this sample application. Click the Fork button in the upper right corner to create your own development environment, and then you can directly modify the code and deploy it to AWS in the browser.

Big Data Scenario: Word Count

Plutolang - Pluto is a new open-source programming language designed to help developers write cloud applications, making it easier to utilize cloud services. Developers can directly use required resources such as KV databases and message queues in their code based on business needs. Pluto uses static code analysis to obtain the infrastructure resource topology the application depends on and deploys the corresponding resource instances and applications on the specified cloud platform or Kubernetes.

Developers define variables in their code, and Pluto takes care of automatically creating and managing the required cloud resource components based on those variables. This simplifies the process of deploying and managing cloud infrastructure, enabling developers to make better use of the cloud. Read more

I'm currently working on a project with a similar concept. However, at the moment, I am using static program analysis technology to infer infrastructure dependencies. But I am considering using AI to deduce the dependencies and generate the final Infrastructure as Code. So, in the architecture, we can replace the deducer and generator with an implementation using AI, as shown in the diagram.

KOM operates within kubernetes environments where Flux or ArgoCD is installed.

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: