Alternatives to Bitbucket

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.

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.

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.

Application and Data: Since my personal website ( https://alisoueidan.com ) is a SPA I've chosen to use Vue.js, as a framework to create it. After a short skeptical phase I immediately felt in love with the single file component concept! I also used vuex for state management, which makes working with several components, which are communicating with each other even more fun and convenient to use. Of course, using Vue requires using JavaScript as well, since it is the basis of it.

For markup and style, I used Pug and Sass, since they’re the perfect match to me. I love the clean and strict syntax of both of them and even more that their structure is almost similar. Also, both of them come with an expanded functionality such as mixins, loops and so on related to their “siblings” (HTML and CSS). Both of them require nesting and prevent untidy code, which can be a huge advantage when working in teams. I used JSON to store data (since the data quantity on my website is moderate) – JSON works also good in combo with Pug, using for loops, based on the JSON Objects for example.

To send my contact form I used PHP, since sending emails using PHP is still relatively convenient, simple and easy done.

DevOps: Of course, I used Git to do my version management (which I even do in smaller projects like my website just have an additional backup of my code). On top of that I used GitHub since it now supports private repository for free accounts (which I am using for my own). I use Babel to use ES6 functionality such as arrow functions and so on, and still don’t losing cross browser compatibility.

Side note: I used npm for package management. 🎉

*Business Tools: * I use Asana to organize my project. This is a big advantage to me, even if I work alone, since “private” projects can get interrupted for some time. By using Asana I still know (even after month of not touching a project) what I’ve done, on which task I was at last working on and what still is to do. Working in Teams (for enterprise I’d take on Jira instead) of course Asana is a Tool which I really love to use as well. All the graphics on my website are SVG which I have created with Adobe Illustrator and adjusted within the SVG code or by using JavaScript or CSS (SASS).

We are using a Bitbucket server, and due to migration efforts and new Atlassian community license changes, we need to move to a new self-hosted solution. The new data-center license for Atlassian, available in February, will be community provisioned (free). Along with that community license, other technologies will be coming with it (Crucible, Confluence, and Jira). Is there value in a paid-for license to get the GitHub Enterprise? Are the tools that come with it worth the cost?

I know it is about $20 per 10 seats, and we have about 300 users. Have other convertees to Microsoft's tools found it easy to do a migration? Is the toolset that much more beneficial to the free suite that one can get from Atlassian?

So far, free seems to be the winner, and the familiarization with Atlassian implementation and maintenance is understood. Going to GitHub, are there any distinct challenges to be found or any perks to be attained?

I need a tool to review. So when I searched, I saw Crucible and Fisheye. I have e few questions:

1. Are Crucible and Fisheye start without Jira integration?
2. Only for document review, which one should be preferred? What do you think about it?
3. Am I doing import word document and export same word format? Well, when I upload a document to crucible, Is it possible to output in which format I enter? İs there a fixed format?

Hi all,

I would like some information regarding the benefits an aspiring start-up company may have, while using GitHub Enterprise vs the regular GitHub package. On a separate issue, I'd like to understand whether GitLab may have some DevOps-related advantages GitHub does not.

Thank you in advance, Matt

We are using a Bitbucket server, and due to migration efforts and new Atlassian community license changes, we need to move to a new self-hosted solution. The new data-center license for Atlassian, available in February, will be community provisioned (free). Along with that community license, other technologies will be coming with it (Crucible, Confluence, and Jira). Is there value in a paid-for license to get the GitHub Enterprise? Are the tools that come with it worth the cost?

I know it is about $20 per 10 seats, and we have about 300 users. Have other convertees to Microsoft's tools found it easy to do a migration? Is the toolset that much more beneficial to the free suite that one can get from Atlassian?

So far, free seems to be the winner, and the familiarization with Atlassian implementation and maintenance is understood. Going to GitHub, are there any distinct challenges to be found or any perks to be attained?

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.

Whenever Qualys scan finds out software vulnerability, say for example Java SDK or any software version that has a potential vulnerability, we search the web to find out the solution and usually install a later version or patch downloading from the web. The problem is, as we are downloading it from web and there are a number of servers where we patch and as an ultimate outcome different people downloads different version and so forth. So I want to create a repository for such binaries so that we use the same patch for all servers.

When I was thinking about the repo, obviously first thought came as GitHub.. But then I realized, it is for code version control and collaboration, not for the packaged software. The other option I am thinking is JFrog Artifactory which stores the binaries and the package software.

What is your recommendation?

Hi, I need advice. In my project, we are using Bitbucket hosted on-prem, Jenkins, and Jira. Also, we have restrictions not to use any plugins for code review, code quality, code security, etc., with bitbucket. Now we want to migrate to AWS CodeCommit, which would mean that we can use, let's say, Amazon CodeGuru for code reviews and move to AWS CodeBuild and AWS CodePipeline for build automation in the future rather than using Jenkins.

Now I want advice on below.

1. Is it a good idea to migrate from Bitbucket to AWS Codecommit?
2. If we want to integrate Jira with AWS Codecommit, then how can we do this? If a developer makes any changes in Jira, then a build should be triggered automatically in AWS and create a Jira ticket if the build fails. So, how can we achieve this?

Mojolicious Perl Redmine Redis AWS CodeCommit Amazon SES PostgreSQL Postman Docker jQuery VirtualBox Sublime Text GitHub Git GitLab CI @DBIx::Class @metacpan @TheBat