Kubernetes
Rancher
Helm.sh
Docker
Google Kubernetes Engine
Docker Swarm
Amazon AWS
Docker Compose
DeployApps
Hubfly space
Sevalla
Netlify
Vercel
Scalingo
Koyeb
Firebase
DeployApps is a modern, serverless platform designed to simplify application deployment and hosting for developers. Supporting frameworks like Python, Next.js, Express.js, and more, DeployApps empowers developers to focus on building applications without worrying about infrastructure management. Whether youโre deploying serverless functions, full-stack apps, or APIs, DeployApps provides a seamless and scalable solution with a user-friendly interface.
Kubernetes DeployAppsNo features have been listed yet.
Based on our record, Kubernetes seems to be a lot more popular than DeployApps. While we know about 392 links to Kubernetes, we've tracked only 1 mention of DeployApps. 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.
> 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 / 12 days ago
I run the Jenkins controller in Kubernetes. Helm chart for the deploy, persistent volume for the home dir, a sidecar that injects JCasC config from a ConfigMap. Upgrading Jenkins is just bumping a chart version. Rolling back is rolling back a chart version. Plugin lists are values in a Helm values.yaml file, version-pinned, and reviewed in a pull request like any other change. - Source: dev.to / 2 months ago
Does this scenario sound familiar? It's what happened with containerization before Kubernetes. Kubernetes came along and said: Here's the standard. MCP is doing the same thing for AI tooling. - Source: dev.to / 2 months ago
Building your own runtime layer is the right call in a narrow set of scenarios. The open-source ecosystem has matured enough that deep platform engineering teams can stand up their own orchestration layer on top of the official Model Context Protocol Python or TypeScript SDKs. The SDKs implement the MCP specification over JSON-RPC 2.0 and support both stdio for local process communication and Streamable HTTP for... - Source: dev.to / 2 months ago
Amazon Elastic Kubernetes Service (EKS) is a fully managed service from Amazon Web Services (AWS) that makes it easy to run Kubernetes on AWS without needing to install, operate, or maintain your own Kubernetes control plane. It automates cluster management, security, and scaling, supporting applications on both Amazon EC2 and AWS Fargate. - Source: dev.to / 2 months ago
For developers interested in building AI-powered applications, Genezio provides a serverless platform designed to simplify backend development. It offers flexibility and scalability, allowing you to focus on building intelligent systems without managing infrastructure. - Source: dev.to / over 1 year ago
Rancher - Open Source Platform for Running a Private Container Service
Hubfly space - Deploy containers and apps with full control, simplicity, and ownership. Hubfly removes cloud complexity while giving developers the power of real infrastructure.
Helm.sh - The Kubernetes Package Manager
Sevalla - Ship production apps without managing infrastructure
Docker - Docker is an open platform that enables developers and system administrators to create distributed applications.
Netlify - Build, deploy and host your static site or app with a drag and drop interface and automatic delpoys from GitHub or Bitbucket