engine
kubernetes
engine | kubernetes | |
---|---|---|
87 | 661 | |
2,025 | 106,923 | |
0.0% | 0.6% | |
-17.8 | 10.0 | |
10 months ago | about 12 hours ago | |
Rust | Go | |
GNU General Public License v3.0 only | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
engine
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The 2024 Web Hosting Report
Qovery: Qovery simplifies the deployment process for Kubernetes by letting you declare your project's structure and dependencies, making it an excellent choice for startups looking to focus on development without worrying about infrastructure.
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Kubernetes for Developers
Enter Qovery - an Internal Developer Platform that can be installed on any Kubernetes cluster to bring a delightful and simplified developer experience. But don't take my word for granted. In this quick step-by-step article, I will show you how to deploy one of my GitHub apps and a Postgres database on my Kubernetes cluster running on GCP. And what's really really cool is that I don't even need to understand how Kubernetes work!
- Terraform Self-Service platform / Internal Developer Platform solutions
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Top 8 Tools to Build Your Own PaaS
Qovery is a comprehensive PaaS tool that offers a range of features to simplify the deployment and management of applications. With Qovery, you can easily deploy your applications in various cloud environments, eliminating the complexities of infrastructure setup. Its intuitive and developer-friendly interface, Git integration, and automatic scaling capabilities make it a powerful choice for building a custom PaaS. Qovery's seamless integration with popular frameworks and databases further enhances its appeal.
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Tool to deploy docker images from github repos?
Qovery https://www.qovery.com
- GitHub - Qovery/engine: The Platform to Create Production-like Environments at the Speed of Light ⚡️
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Have you ever deployed infrastructure on AWS China?
I have one of my customers who want to use Qovery to deploy their apps on AWS China. Technically speaking, Qovery runs on Kubernetes and on all the usual AWS regions. But AWS China (Beijing) is a bit different (cf here)
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What CICD tool do you guys use?
Combining GitLab (CI) with Qovery (CD) sounds what you need.
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DevOps feedback wanted for Qovery
I am eager to get your feedback on Qovery - an open-source CD platform that helps thousands of developers and DevOps to build and scale on AWS.
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What’s your favorite way to host your own stuff quick & dirty?
Qovery - an open-source platform that makes AWS easier and there is a Terraform provider available
kubernetes
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Streamlining Deployments: Unveiling the Power of GitOps with Kubernetes
In the field of software development, efficiency and agility are always sought after. In the era of cloud-native apps, traditional deployment techniques—which are frequently laborious and prone to errors—are starting to become obstacles. This is when Kubernetes and GitOps come in handy.
- Presentación del Operador LMS Moodle
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Introducing LMS Moodle Operator
Are you looking for a hassle-free way to deploy Moodle™ Learning Management Systems (LMS) on Kubernetes? Look no further! Krestomatio presents the LMS Moodle Operator, an open-source Kubernetes Operator designed to simplify the deployment and management of Moodle instances on Kubernetes clusters. Let's dive into what makes this tool a great choice for Moodle administrators and developers alike.
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Using NetBird for Kubernetes Access
Securing access to your Kubernetes clusters is crucial as inadequate security measures can lead to unauthorized access and potential data breaches. However, navigating the complexities of Kubernetes access security, especially when setting up strong authentication, authorization, and network policies, can be challenging.
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My Favorite DevTools to Build AI/ML Applications!
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 applications that need to scale across multiple servers or cloud environments.
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Building Scalable GraphQL Microservices With Node.js and Docker: A Comprehensive Guide
To learn more, you can start by exploring the official Kubernetes documentation.
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Building Llama as a Service (LaaS)
With the containerized Node.js/Express API, I could run multiple containers, scaling to handle more traffic. Using a tool called minikube, we can easily spin up a local Kubernetes cluster to horizontally scale Docker containers. It was possible to keep one shared instance of the database, and many APIs were routed with an internal Kubernetes load balancer.
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The power of the CLI with Golang and Cobra CLI
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.
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Upgrading Hundreds of Kubernetes Clusters
We closely monitor Kubernetes and cloud providers' updates by following official changelogsand using RSS feeds, allowing us to anticipate potential issues and adapt our infrastructure proactively.
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Kubernetes and back – Why I don't run distributed systems
"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.
What are some alternatives?
porter - Kubernetes powered PaaS that runs in your own cloud.
Apache ZooKeeper - Apache ZooKeeper
Medusa - Building blocks for digital commerce
bosun - Time Series Alerting Framework
Replibyte - Seed your development database with real data ⚡️
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
nanos - A kernel designed to run one and only one application in a virtualized environment
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
nixpacks - App source + Nix packages + Docker = Image
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
Dokku - A docker-powered PaaS that helps you build and manage the lifecycle of applications
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).