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Based on our record, kubernetes-deploy should be more popular than Artifactory. It has been mentiond 48 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Kubernetes Deployment: A Kubernetes Deployment automates the management of application updates and scaling. It defines the desired state for an application, such as the number of replicas, the container image to use, and update strategies. The Deployment controller ensures that the actual state of the application matches the desired state by creating and updating pods as needed. Deployments support rolling... - Source: dev.to / 18 days ago
Good knowledge of the Kubernetes basic concepts and components - this exercise will be utilizing Kubernetes concepts such as Deployments, Services, Volumes, PersistentVolume, Secrets, Pods, Containers, etc. For more on Kubernetes concepts check out this documentation. - Source: dev.to / 3 months ago
Create a deployment.yaml to define a Deployment resource. A Deployment in Kubernetes is a resource that manages and updates a group of identical pods that run our application. Ensure to substitute IP 80.85.245.188 to your VPS IP. - Source: dev.to / 4 months ago
Kubernetes Deployments Documentation. - Source: dev.to / 4 months ago
Deployments manage a set of pods and ensure your application is running in the desired state. When you use Kubernetes, you'll inevitably write a deployment at some point along the line. - Source: dev.to / 5 months ago
I kind of hate it, but Artifactory seems popular at companies: https://jfrog.com/artifactory/. Source: 12 months ago
When not providing all dependencies yourself, you might suffer from people deleting the packages you depend on (IMHO a very rare scenario). If it is really that critical (hint: usually it isn't), create a local mirror of Pypi (full or only the packages you need). Devpi, Artifactory, etc. Can do that or you just dump the necessary files into Cloud storage, so you have a backup. Source: about 1 year ago
Operate a pull-through cache registry, like Artifactory or the open source reference Docker registry. This will allow you to pull images from Docker Hub less frequently, improving your chances of staying under the anonymous usage limit. - Source: dev.to / about 1 year ago
Like suppose for a second that . . . Idk . . . a product team wants our ci workflows to start using Artifactory. Okay great, I don't know Artifactory integration but I'm going to tell them "Sure, I'll get right on that.". Source: over 1 year ago
If these "assets" have an independent release schedule I would treat them separately (especially if they are externally provided). If they are not built from source then treat them as artefacts, they don't belong in git. You can store the in an artefact repository (like Artifactory of Nexus) or (as u/nekokattt points out) in something like S3. Source: over 1 year ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
Sonatype Nexus Repository - The world's only repository manager with FREE support for popular formats.
Helm.sh - The Kubernetes Package Manager
Cloudsmith - Cloudsmith is the preferred software platform for securely storing and sharing packages and containers. We have distributed millions of packages for innovative companies around the world.
Google Kubernetes Engine - Google Kubernetes Engine is a powerful cluster manager and orchestration system for running your Docker containers. Set up a cluster in minutes.
Git - Git is a free and open source version control system designed to handle everything from small to very large projects with speed and efficiency. It is easy to learn and lightweight with lighting fast performance that outclasses competitors.