drone
kubernetes
drone | kubernetes | |
---|---|---|
53 | 661 | |
29,119 | 106,923 | |
- | 0.8% | |
0.0 | 10.0 | |
7 months ago | 2 days ago | |
Go | Go | |
Apache License 2.0 | 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.
drone
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SPAC(Special Purpose Acquisition) for Open Source Project
Drone (https://github.com/harness/drone) shell's all codes are deleted and replaced with new project (gitness) to retain Github Stars. What do you think?
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Harness launches Gitness, an open-source GitHub competitor
I went to check on this, and it seems that https://github.com/harness/drone redirects to harness/gitness. I'm now very confused.
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I want my portfolio project on Github to be public to everyone, but I don't want somebody to copy it and use commercially because propably some day I would like to do it myself with this project. What license should I use?
You can check the drone license or sentry license.
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What self-hosted Git server ?
To use github my code would have to leave my server. I can build it myself using woodpecker. I used drone.io till they were bought out and went closed source then migrated to woodpecker-ci
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Is Jenkins still the king?
A lot of people on reddit seem to recommend gitlab, or drone.io, but if you get on indeed and search for jobs there are tens of thousands of posts looking for people who know Jenkins and only a tiny fraction of job listings interested in any other ci framework. Is it worth investing time into anything else? It's my decision and while the other options seem more friendly I don't see any point in learning them if I'm not going to be able to use them in the future.
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How to set up CI for mirror repositories?
I personally use drone CI (https://drone.io) with the DroneExternalConfig plugin (https://github.com/0x1a8510f2/DroneExternalConfig).
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Is self hosted gitlab the best CI/CD option for an IOT project?
Gitea + drone.io is what I am using. Very happy with the solution.
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Selfhosted solutions for developers are bullshit?
No 5000 build limit if you use Gitea/Gogs Ref: https://github.com/harness/drone/blob/master/service/license/load.go
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Gitea 1.18.0
I really should migrate to Gitea + drone.io
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Some tool like drone.io for CD
I'm really embarassed to say that I love docker-compose over K8s for its simplicity & effectiveness.But tools are reallly lacking.drone.io is like a docker-compose.yml. Simple, effictive & beautiful.
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?
woodpecker - Woodpecker is a simple yet powerful CI/CD engine with great extensibility.
Apache ZooKeeper - Apache ZooKeeper
argo-cd - Declarative Continuous Deployment for Kubernetes
bosun - Time Series Alerting Framework
Concourse - Concourse is a container-based continuous thing-doer written in Go.
Rundeck - Enable Self-Service Operations: Give specific users access to your existing tools, services, and scripts
Jenkins - Jenkins automation server
kine - Run Kubernetes on MySQL, Postgres, sqlite, dqlite, not etcd.
GitlabCi
BOSH - Cloud Foundry BOSH is an open source tool chain for release engineering, deployment and lifecycle management of large scale distributed services.
Buildbot - Python-based continuous integration testing framework; your pull requests are more than welcome!
Juju - Orchestration engine that enables the deployment, integration and lifecycle management of applications at any scale, on any infrastructure (Kubernetes or otherwise).