What is JFrog Artifactory and what are its top alternatives?
Top Alternatives to JFrog Artifactory
Host, manage and proxy artifacts using the best Docker Registry, Maven Repository, Gradle repository, NuGet repository, Ruby repository, Debian repository npm repository, Yum repository. ...
It is an open source repository that supports many artifact formats, including Docker, Java™ and npm. With the Nexus tool integration, pipelines in your toolchain can publish and retrieve versioned apps and their dependencies ...
Bintray offers developers the fastest way to publish and consume OSS software releases. With Bintray's full self-service platform developers have full control over their published software and how it is distributed to the world. ...
GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together. ...
JitPack is an easy to use package repository for Gradle/Sbt and Maven projects. We build GitHub projects on demand and provides ready-to-use packages. ...
A free and open-source package manager designed for the Microsoft development platform. It is also distributed as a Visual Studio extension. ...
GitLab offers git repository management, code reviews, issue tracking, activity feeds and wikis. Enterprises install GitLab on-premise and connect it with LDAP and Active Directory servers for secure authentication and authorization. A single GitLab server can handle more than 25,000 users but it is also possible to create a high availability setup with multiple active servers. ...
Maven allows a project to build using its project object model (POM) and a set of plugins that are shared by all projects using Maven, providing a uniform build system. Once you familiarize yourself with how one Maven project builds you automatically know how all Maven projects build saving you immense amounts of time when trying to navigate many projects. ...
JFrog Artifactory alternatives & related posts
related jFrog posts
related Sonatype Nexus posts
We use Sonatype Nexus to store our closed-source java libraries to simplify our deployment and dependency-management. While there are many alternatives, most of them are expensive ( GitLab Enterprise ), monilithic ( JFrog Artifactory ) or only offer SaaS-licences. We preferred the on-premise approach of Nexus and therefore decided to use it.
We exclusively use the Maven-capabilities and are glad that the modular design of Nexus allows us to run it very lightweight.
I'm beginning to research the right way to better integrate how we achieve SCA / shift-left / SecureDevOps / secure software supply chain. If you use or have evaluated WhiteSource, Snyk, Sonatype Nexus, SonarQube or similar, I would very much appreciate your perspective on strengths and weaknesses and how you selected your ultimate solution. I want to integrate with GitLab CI.
- Free for opensource packages9
- Easy to use6
- Cool new UI4
- Fast CDN3
- Just because it's great DaaS2
related BinTray posts
Git and GitHub are excellent tools for hosting this open source project. GitHub enables me to do reviews and provides wiki support via GitHub Pages from anywhere. Travis CI is easy to setup and I can pull up my own Android SDK libraries from BinTray .
- Open source friendly1.8K
- Easy source control1.5K
- Nice UI1.2K
- Great for team collaboration1.1K
- Easy setup857
- Issue tracker496
- Great community478
- Remote team collaboration475
- Great way to share444
- Pull request and features planning436
- Just works139
- Integrated in many tools125
- Free Public Repos112
- Github Gists106
- Github pages103
- Easy to find repos81
- Open source60
- Easy to find projects58
- Network effect56
- It's free55
- Extensive API47
- Developer Profiles33
- Git Powered Wikis32
- Great for collaboration29
- It's fun23
- Community SDK involvement22
- Clean interface and good integrations21
- Learn from others source code19
- It integrates directly with Azure14
- Because: Git14
- Wide acceptance13
- Large community10
- Standard in Open Source collab9
- It integrates directly with Hipchat8
- Beautiful user experience7
- Cloud SCM6
- Easy to discover new code libraries6
- Smooth integration5
- Nice API5
- It's awesome5
- Hands down best online Git service available4
- Remarkable uptime4
- Easy to use and collaborate with others3
- CI Integration3
- Free HTML hosting3
- Loved by developers3
- Quick Onboarding3
- Security options3
- Simple but powerful3
- Uses GIT3
- Unlimited Public Repos at no cost3
- Version Control3
- Nice to use2
- Free private repos1
- Easy deployment via SSH1
- Owned by micrcosoft1
- Free HTML hostings1
- Self Hosted1
- All in one development service1
- Easy to use1
- Good tools support1
- Easy source control and everything is backed up1
- Leads the copycats1
- Never dethroned1
- Issues tracker1
- Easy and efficient maintainance of the projects1
- IAM integration1
- Owned by micrcosoft45
- Expensive for lone developers that want private repos36
- Relatively slow product/feature release cadence15
- API scoping could be better10
- Only 3 collaborators for private repos8
- Limited featureset for issue management3
- GitHub Packages does not support SNAPSHOT versions2
- Have to use a token for the package registry1
- No multilingual interface1
- Takes a long time to commit1
related GitHub posts
I was building a personal project that I needed to store items in a real time database. I am more comfortable with my Frontend skills than my backend so I didn't want to spend time building out anything in Ruby or Go.
I stumbled on Firebase by #Google, and it was really all I needed. It had realtime data, an area for storing file uploads and best of all for the amount of data I needed it was free!
I built out my application using tools I was familiar with, React for the framework, Redux.js to manage my state across components, and styled-components for the styling.
Now as this was a project I was just working on in my free time for fun I didn't really want to pay for hosting. I did some research and I found Netlify. I had actually seen them at #ReactRally the year before and deployed a Gatsby site to Netlify already.
Netlify was very easy to setup and link to my GitHub account you select a repo and pretty much with very little configuration you have a live site that will deploy every time you push to master.
With the selection of these tools I was able to build out my application, connect it to a realtime database, and deploy to a live environment all with $0 spent.
If you're looking to build out a small app I suggest giving these tools a go as you can get your idea out into the real world for absolutely no cost.
Our whole DevOps stack consists of the following tools:
- GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
- Respectively Git as revision control system
- SourceTree as Git GUI
- Visual Studio Code as IDE
- CircleCI for continuous integration (automatize development process)
- Prettier / TSLint / ESLint as code linter
- SonarQube as quality gate
- Docker as container management (incl. Docker Compose for multi-container application management)
- VirtualBox for operating system simulation tests
- Kubernetes as cluster management for docker containers
- Heroku for deploying in test environments
- nginx as web server (preferably used as facade server in production environment)
- SSLMate (using OpenSSL) for certificate management
- Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
- PostgreSQL as preferred database system
- Redis as preferred in-memory database/store (great for caching)
The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:
- Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
- Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
- Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
- Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
- Scalability: All-in-one framework for distributed systems.
- Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.
- Because uploading to maven central is a ball ache11
related JitPack posts
- Best package (and maybe only 1) management for .NET0
related NuGet posts
- Self hosted489
- Has community edition332
- Familiar interface236
- Easy setup236
- Includes many features, including ci130
- Nice UI106
- Good integration with gitlabci80
- Simple setup52
- Has an official mobile app32
- Free private repository30
- Continuous Integration25
- Open source, great ui (like github)18
- Slack Integration14
- Full CI flow10
- Free and unlimited private git repos9
- User, group, and project access management is simple8
- Intuitive UI7
- Built-in CI7
- All in one (Git, CI, Agile..)7
- Both public and private Repositories4
- Mattermost Chat client3
- Integrated Docker Registry3
- Issue system3
- Security and Stable2
- Free private repos2
- Low maintenance cost due omnibus-deployment2
- Unlimited free repos & collaborators2
- It's fully integrated2
- I like the its runners and executors feature2
- So easy to use2
- Great for team collaboration2
- One-click install through DigitalOcean2
- It's powerful source code management tool2
- Build/pipeline definition alongside code2
- The dashboard with deployed environments1
- Multilingual interface1
- Native CI1
- HipChat intergration1
- It includes everything I need, all packaged with docker1
- Powerful software planning and maintaining tools1
- Groups of groups1
- Because is the best remote host for git repositories1
- Not Microsoft Owned1
- Full DevOps suite with Git1
- Many private repo1
- Published IP list for whitelisting (gl-infra#434)1
- Powerful Continuous Integration System1
- Kubernetes Integration1
- Kubernetes integration with GitLab CI1
- Review Apps feature1
- Built-in Docker Registry1
- Supports Radius/Ldap & Browser Code Edits0
- Slow ui performance26
- Introduce breaking bugs every release6
- Insecure (no published IP list for whitelisting)5
- Built-in Docker Registry0
- Review Apps feature0
related GitLab posts
I have mixed feelings on GitHub as a product and our use of it for the Zulip open source project. On the one hand, I do feel that being on GitHub helps people discover Zulip, because we have enough stars (etc.) that we rank highly among projects on the platform. and there is a definite benefit for lowering barriers to contribution (which is important to us) that GitHub has such a dominant position in terms of what everyone has accounts with.
But even ignoring how one might feel about their new corporate owner (MicroSoft), in a lot of ways GitHub is a bad product for open source projects. Years after the "Dear GitHub" letter, there are still basic gaps in its issue tracker:
- You can't give someone permission to label/categorize issues without full write access to a project (including ability to merge things to master, post releases, etc.).
- You can't let anyone with a GitHub account self-assign issues to themselves.
- Many more similar issues.
It's embarrassing, because I've talked to GitHub product managers at various open source events about these things for 3 years, and they always agree the thing is important, but then nothing ever improves in the Issues product. Maybe the new management at MicroSoft will fix their product management situation, but if not, I imagine we'll eventually do the migration to GitLab.
We have a custom bot project, http://github.com/zulip/zulipbot, to deal with some of these issues where possible, and every other large project we talk to does the same thing, more or less.
We use GitLab CI because of the great native integration as a part of the GitLab framework and the linting-capabilities it offers. The visualization of complex pipelines and the embedding within the project overview made Gitlab CI even more convenient. We use it for all projects, all deployments and as a part of GitLab Pages.
While we initially used the Shell-executor, we quickly switched to the Docker-executor and use it exclusively now.
We formerly used Jenkins but preferred to handle everything within GitLab . Aside from the unification of our infrastructure another motivation was the "configuration-in-file"-approach, that Gitlab CI offered, while Jenkins support of this concept was very limited and users had to resort to using the webinterface. Since the file is included within the repository, it is also version controlled, which was a huge plus for us.
- Dependency management137
- Necessary evil71
- I’d rather code my app, not my build59
- Publishing packaged artifacts48
- Convention over configuration43
- Consistency across builds11
- Prevents overengineering using scripting6
- Runs Tests4
- Lot of cool plugins4
- Hard to customize2
- Runs on Linux2
- Runs on OS X1
- Slow incremental build1
- Inconsistent buillds1
- Good IDE tooling1
- Inconsistent buillds1
- Not many plugin-alternatives0
related Apache Maven posts
Often enough I have to explain my way of going about setting up a CI/CD pipeline with multiple deployment platforms. Since I am a bit tired of yapping the same every single time, I've decided to write it up and share with the world this way, and send people to read it instead ;). I will explain it on "live-example" of how the Rome got built, basing that current methodology exists only of readme.md and wishes of good luck (as it usually is ;)).
It always starts with an app, whatever it may be and reading the readmes available while Vagrant and VirtualBox is installing and updating. Following that is the first hurdle to go over - convert all the instruction/scripts into Ansible playbook(s), and only stopping when doing a clear
vagrant up or
vagrant reload we will have a fully working environment. As our Vagrant environment is now functional, it's time to break it! This is the moment to look for how things can be done better (too rigid/too lose versioning? Sloppy environment setup?) and replace them with the right way to do stuff, one that won't bite us in the backside. This is the point, and the best opportunity, to upcycle the existing way of doing dev environment to produce a proper, production-grade product.
I should probably digress here for a moment and explain why. I firmly believe that the way you deploy production is the same way you should deploy develop, shy of few debugging-friendly setting. This way you avoid the discrepancy between how production work vs how development works, which almost always causes major pains in the back of the neck, and with use of proper tools should mean no more work for the developers. That's why we start with Vagrant as developer boxes should be as easy as
vagrant up, but the meat of our product lies in Ansible which will do meat of the work and can be applied to almost anything: AWS, bare metal, docker, LXC, in open net, behind vpn - you name it.
We must also give proper consideration to monitoring and logging hoovering at this point. My generic answer here is to grab Elasticsearch, Kibana, and Logstash. While for different use cases there may be better solutions, this one is well battle-tested, performs reasonably and is very easy to scale both vertically (within some limits) and horizontally. Logstash rules are easy to write and are well supported in maintenance through Ansible, which as I've mentioned earlier, are at the very core of things, and creating triggers/reports and alerts based on Elastic and Kibana is generally a breeze, including some quite complex aggregations.
If we are happy with the state of the Ansible it's time to move on and put all those roles and playbooks to work. Namely, we need something to manage our CI/CD pipelines. For me, the choice is obvious: TeamCity. It's modern, robust and unlike most of the light-weight alternatives, it's transparent. What I mean by that is that it doesn't tell you how to do things, doesn't limit your ways to deploy, or test, or package for that matter. Instead, it provides a developer-friendly and rich playground for your pipelines. You can do most the same with Jenkins, but it has a quite dated look and feel to it, while also missing some key functionality that must be brought in via plugins (like quality REST API which comes built-in with TeamCity). It also comes with all the common-handy plugins like Slack or Apache Maven integration.
The exact flow between CI and CD varies too greatly from one application to another to describe, so I will outline a few rules that guide me in it: 1. Make build steps as small as possible. This way when something breaks, we know exactly where, without needing to dig and root around. 2. All security credentials besides development environment must be sources from individual Vault instances. Keys to those containers should exist only on the CI/CD box and accessible by a few people (the less the better). This is pretty self-explanatory, as anything besides dev may contain sensitive data and, at times, be public-facing. Because of that appropriate security must be present. TeamCity shines in this department with excellent secrets-management. 3. Every part of the build chain shall consume and produce artifacts. If it creates nothing, it likely shouldn't be its own build. This way if any issue shows up with any environment or version, all developer has to do it is grab appropriate artifacts to reproduce the issue locally. 4. Deployment builds should be directly tied to specific Git branches/tags. This enables much easier tracking of what caused an issue, including automated identifying and tagging the author (nothing like automated regression testing!).
Speaking of deployments, I generally try to keep it simple but also with a close eye on the wallet. Because of that, I am more than happy with AWS or another cloud provider, but also constantly peeking at the loads and do we get the value of what we are paying for. Often enough the pattern of use is not constantly erratic, but rather has a firm baseline which could be migrated away from the cloud and into bare metal boxes. That is another part where this approach strongly triumphs over the common Docker and CircleCI setup, where you are very much tied in to use cloud providers and getting out is expensive. Here to embrace bare-metal hosting all you need is a help of some container-based self-hosting software, my personal preference is with Proxmox and LXC. Following that all you must write are ansible scripts to manage hardware of Proxmox, similar way as you do for Amazon EC2 (ansible supports both greatly) and you are good to go. One does not exclude another, quite the opposite, as they can live in great synergy and cut your costs dramatically (the heavier your base load, the bigger the savings) while providing production-grade resiliency.
We use Apache Maven because it is a standard. Gradle is very good alternative, but Gradle doesn't provide any advantage for our project. Gradle is slower (without running daemon), need more resources and a learning curve is quite big. Our project can not use a great flexibility of Gradle. On the other hand, Maven is well-know tool integrated in many IDEs, Dockers and so on.