Is a great tool, and the real cloud computing. The aws is very caotical to use.
Based on our record, Kubernetes seems to be a lot more popular than Jelastic. While we know about 280 links to Kubernetes, we've tracked only 2 mentions of Jelastic. 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.
Check out https://jelastic.com/ I've found this to be a god send with managing and deploying web servers. The website, somewhere, has a list of all the companies that use Jelastic, and their features. I'd recommend MassiveGrid (they use Equinix data centres). It's also a pay for what you use rather than a set fee each month model. It costs me about 14c/month to host a site with a few hundred visits a month. Source: over 2 years ago
Based on the described case, it seems you need to check Jelastic PaaS. I’ll explain in a few details:. Source: about 3 years ago
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... - Source: dev.to / 4 days ago
To learn more, you can start by exploring the official Kubernetes documentation. - Source: dev.to / 18 days ago
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. - Source: dev.to / 22 days ago
"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. - Source: Hacker News / about 1 month ago
Open Source and Cloud Computing: A Match Made in Heaven The cloud is accelerating OSS adoption. Cloud-native technologies like Kubernetes [https://kubernetes.io/] and Istio [https://istio.io/], both open-source projects, are revolutionizing how applications are built and deployed across cloud platforms. - Source: dev.to / about 1 month ago
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.
Rancher - Open Source Platform for Running a Private Container Service
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.
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Google App Engine - A powerful platform to build web and mobile apps that scale automatically.
Helm.sh - The Kubernetes Package Manager