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Qovery VS Apple Machine Learning Journal

Compare Qovery VS Apple Machine Learning Journal and see what are their differences

Qovery logo Qovery

Create production-like environments in your AWS account; Compatible with all your AWS services!

Apple Machine Learning Journal logo Apple Machine Learning Journal

A blog written by Apple engineers
  • Qovery Landing page
    Landing page //
    2023-09-04

Qovery is an Environment as a Service platform that empowers developers to test and release features faster with on-demand environments - in your cloud and less than 30 minutes. Qovery is open-source, leverages Kubernetes, and the managed service of each cloud provider is supported.

Main Features

Qovery provides infrastructure automation using Environment as a Service technology to deploy and continuously manage complete and complex (mono-repository, microservices, …) technical stacks on any cloud while leveraging existing toolchains; Terraform, CI/CD, cloud services via VPC peering, and more.

  • Speed up deployments of your Test/Dev/ Production environments from your CI/CD.
  • Instantly clone your environment (databases with data via Replibyte (open-source) included)
  • Cost control with our “Deployment Rules” technology
  • Enable Continuous Updates (Day-2) for your environments.
  • Manage Kubernetes clusters at scale.
  • Extensible with our open API
  • Open-source
  • Apple Machine Learning Journal Landing page
    Landing page //
    2022-12-13

Qovery videos

How to deploy a simple application with Qovery

Apple Machine Learning Journal videos

No Apple Machine Learning Journal videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Qovery and Apple Machine Learning Journal)
Developer Tools
41 41%
59% 59
AI
0 0%
100% 100
Cloud Computing
100 100%
0% 0
Cloud Hosting
100 100%
0% 0

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Qovery and Apple Machine Learning Journal

Qovery Reviews

  1. Qovery is the simplest way to deploy your full-stack apps in the Cloud. Its FREE, but in a give feedback or report bugs to use our services manner.

    Make sure to try out Qovery once!

    🏁 Competitors: Railway
  2. More more better than Other!!

    100% running, no force restart. Credit system, better than Hour system like Heroku! More of Credit, better than Railway!

    Give public feedback got Credit. Give and Take, Its more effective, but at least allow to share feedback on Telegram.

  3. Best Ever Hosting platform in the free usage world.

    I love Qovery Very very much. Because It is the only thing that helps me to make my bots 24/7 online and website and APIs to be uptime 100% and when compared to any other free hosting platforms they will go inactive after some time but in this, they will be always active and make the development easy with any latest software that we want can we did use docker file so I recommended this to all my college friends


Top 10 Ephemeral Environments Solutions in 2024
Qovery stands out for its exceptional approach to ephemeral environments, offering a great developer experience in provisioning, deploying, managing, and scaling environments. Specifically tailored for ephemeral use cases, Qovery's unique advantage lies in its developer experience, a great UI, and automatic environment provisioning based on code commits, ensuring that each...
Source: www.qovery.com

Apple Machine Learning Journal Reviews

We have no reviews of Apple Machine Learning Journal yet.
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Social recommendations and mentions

Based on our record, Qovery should be more popular than Apple Machine Learning Journal. It has been mentiond 13 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.

Qovery mentions (13)

  • Intro to setting up cluster with multiple docker containers
    Not sure if this helps but we use https://qovery.com. Source: almost 2 years ago
  • How to add Webhooks to any API
    While working on part 3 for my Notion + Qovery series, I was faced with an issue. How could I get notified when a Qovery application status changes, and how to know if a Notion database was updated? - Source: dev.to / over 2 years ago
  • NotionOps - Part 1: Presentation and project setup
    At the same time, Notion has become one of the most popular productivity tools. From knowledge base to CRM, the possibilities seem endless. On the other hand, PaaS are evolving, and a new generation of developers platforms is emerging, like Qovery. - Source: dev.to / over 2 years ago
  • Awesome Platform for hosting your hobby projects - Qovery
    Qovery.com is an awesome service that lets me host my hobby projects for free. And I really like the fact that it offers connection with custom domain for free. The one thing I didn't like is that I had faced database deletion once in community plan, but since they already stated that community plan is not supposed to be used in production, I guess its acceptable. Source: over 2 years ago
  • How to deploy web app
    Excellent answer ! I would like to include Qovery in backend and Planet scale in database. Qovery seems to have the extream free tire for backend like vercel/netlify for frontend. And Planetscale is given away 10gb database in free tier. Source: over 2 years ago
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Apple Machine Learning Journal mentions (6)

  • Does anyone else suspect that the official iOS ChatGPT app might be conducting some local inference / edge-computing? [Discussion]
    For your reference, Apple's pages for Machine Learning for Developers and for their research. The Apple Neural Engine was custom designed to work better with their proprietary machine learning programs -- and they've been opening up access to developers by extending support / compatibility for TensorFlow and PyTorch. They've also got CoreML, CreateML, and various APIs they are making to allow more use of their... Source: about 1 year ago
  • Which papers should I implement or which Projects should I do to get an entry level job as a Computer vision engineer at MAANG ?
    We even host annual poster sessions of those PhD intern’s work while at our company, and it’ll give you an idea of the caliber of work. It may not be as great as Nvidia, Stryker, Waymo, or Tesla (which are not part of MAANG but I believe are far more ahead in CV), but it’s worth of considering. Source: about 1 year ago
  • Apple’s secrecy created engineer burnout
    They have something for ML: https://machinelearning.apple.com. - Source: Hacker News / about 2 years ago
  • [D] Is anyone working on open-sourcing Dall-E 2?
    They're more subtle about it, I think. https://machinelearning.apple.com/ Some of the papers are pretty good. I don't disagree with your sentiment in aggregate, though. Source: about 2 years ago
  • How does Apple achieve both secrecy and quality for a release?
    Siri is not where it needs to be because Apple refuses to mine user data to enrich it. They also are very hesitant to allow researchers to publish their breakthroughs which makes recruitment very hard. Although this is changing https://machinelearning.apple.com/. - Source: Hacker News / about 2 years ago
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What are some alternatives?

When comparing Qovery and Apple Machine Learning Journal, you can also consider the following products

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.

Amazon Machine Learning - Machine learning made easy for developers of any skill level

Render - Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Machine Learning Playground - Breathtaking visuals for learning ML techniques.

DigitalOcean - Simplifying cloud hosting. Deploy an SSD cloud server in 55 seconds.

Lobe - Visual tool for building custom deep learning models