k3s VS Cloudify
Compare k3s VS Cloudify and see what are their differences
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k3s
Kubernetes
Kind
k3sup
Helm.sh
Prometheus
Rancher
Amazon EKS
Cloudify
OpenShift
Kubernetes
Heroku
Morpheus
Microsoft Azure
Apache Mesos
Redis
Cloudify provides infrastructure automation using โEnvironment as a Serviceโ technology to deploy and continuously manage any cloud, private data center, or Kubernetes service from one central point while leveraging existing toolchains; Terraform, Ansible, and more. Use Cloudify to import existing automation templates and scripts and automatically convert them into certified environments. Manage them using the Cloudify console or export these environments to ServiceNow and enable users to deploy, continuously manage and maintain them as part of approval workflows.
Key Values: - Speed up deployments of your Test/Dev/Production environments. - Manage customers' heterogeneous cloud environments. - Enable Continuous Updates (Day-2) for your Production environments. - A clean API to work on top of all your tools that can easily be used within ServiceNow. - Manage Kubernetes clusters at scale.
CloudifyBased on our record, k3s seems to be a lot more popular than Cloudify. While we know about 189 links to k3s, we've tracked only 2 mentions of Cloudify. 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.
Agreed, personally I'd only do it through a hosted provider or maybe consider https://k3s.io for a bit simpler setup. I'd also only do it if Kubernetes is something I'm already familiar with. - Source: Hacker News / 5 days ago
> but it's still a singleton instance, so where do you run it? Most hardware doesn't give you enough uptime for what you need here, because what you actually needed was a re-architecture for distribution / failover / whatever, and while you could ask your LLM to do that you aren't going to run your bank on the result. If only we had a way to solve these issues with tools capable of running Rust programs in that... - Source: Hacker News / 7 days ago
At StackGres [1] we find Timescale to be one of the most used extensions. Timescale is quite a successful project! StackGres is actually the first solution recommended by Timescale for self-hosting with Kubernetes operators [2]. So if you are into Kubernetes (or if not, consider it, using something like K3s [3] is quite straightforward and lightweight on resources), this is probably a great option to self-host... - Source: Hacker News / about 1 month ago
What we need is a way to bootstrap a Kubernetes Cluster itself. Being in a docker-like environment the best option is a Kubernetes in Docker solution, Such as KinD or K3s. Both are available in Daggerverse and can be installed as external module to be reused. - Source: dev.to / 2 months ago
Before landing on the base image approach, my first assumption was that the Kubernetes cluster setup was the bottleneck - we use kind to run dependencies like PostgreSQL and NATS. I replaced kind with k3s. It saved 1โ2 minutes, but nothing significant on its own. - Source: dev.to / 4 months ago
Cloudify looks interesting if you can stand the price, depends how badly you need the features it offers. Source: about 4 years ago
Cloudify is a platform that automates and manages entire lifecycles of an application or network service. Source: over 4 years ago
Kubernetes - Kubernetes is an open source orchestration system for Docker containers
OpenShift - OpenShift gives you all the tools you need to develop, host and scale your apps in the public or private cloud. Get started today.
Kind - Kind is a web-based tool that provides you the features to operate the local kubernetes clusters with the help of a docker container named nodes.
k3sup - from Zero to KUBECONFIG in < 1 min ๐. Contribute to alexellis/k3sup development by creating an account on GitHub.
Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.
Helm.sh - The Kubernetes Package Manager