AWS CloudFormation vs Bitbucket: What are the differences?
Developers describe AWS CloudFormation as "Create and manage a collection of related AWS resources". You can use AWS CloudFormation’s sample templates or create your own templates to describe the AWS resources, and any associated dependencies or runtime parameters, required to run your application. You don’t need to figure out the order in which AWS services need to be provisioned or the subtleties of how to make those dependencies work. On the other hand, Bitbucket is detailed as "One place to plan projects, collaborate on code, test and deploy, all with free private repositories". Bitbucket gives teams one place to plan projects, collaborate on code, test and deploy, all with free private Git repositories. Teams choose Bitbucket because it has a superior Jira integration, built-in CI/CD, & is free for up to 5 users.
AWS CloudFormation belongs to "Infrastructure Build Tools" category of the tech stack, while Bitbucket can be primarily classified under "Code Collaboration & Version Control".
Some of the features offered by AWS CloudFormation are:
- AWS CloudFormation comes with the following ready-to-run sample templates: WordPress (blog),Tracks (project tracking), Gollum (wiki used by GitHub), Drupal (content management), Joomla (content management), Insoshi (social apps), Redmine (project mgmt)
- No Need to Reinvent the Wheel – A template can be used repeatedly to create identical copies of the same stack (or to use as a foundation to start a new stack)
- Transparent and Open – Templates are simple JSON formatted text files that can be placed under your normal source control mechanisms, stored in private or public locations such as Amazon S3 and exchanged via email.
On the other hand, Bitbucket provides the following key features:
- Unlimited private repositories, charged per user
- Best-in-class Jira integration
- Built-in CI/CD
"Automates infrastructure deployments" is the top reason why over 36 developers like AWS CloudFormation, while over 896 developers mention "Free private repos" as the leading cause for choosing Bitbucket.
According to the StackShare community, Bitbucket has a broader approval, being mentioned in 1750 company stacks & 1492 developers stacks; compared to AWS CloudFormation, which is listed in 197 company stacks and 77 developer stacks.
What is AWS CloudFormation?
What is Bitbucket?
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I use GitLab when building side-projects and MVPs. The interface and interactions are close enough to those of GitHub to prevent cognitive switching costs between professional and personal projects hosted on different services.
GitLab also provides a suite of tools including issue/project management, CI/CD with GitLab CI, and validation/landing pages with GitLab Pages. With everything in one place, on an #OpenSourceCloud GitLab makes it easy for me to manage much larger projects on my own, than would be possible with other solutions or tools.
It's petty I know, but I can also read the GitLab code diffs far more easily than diffs on GitHub or Bitbucket...they just look better in my opinion.
Bitbucket provides 5 private repositories for free that is I believe the best feature. GitLab seems very simmilar to GitHub. The only reason I've choosen GitHub is its popularity. It seems faster than GitLab, uglier than Bitbucket and featured as others. The best open source projects are hosted on GitHub. Many applications are integrated with GitHub like my favourite #GitKraken.
An easy one this time - source control. Well, should we even think about anything else but Git these days? :) As for the repository, we use Bitbucket for only historical reasons. We used it since the time when the pricing model was more convenient than GitHub. And Bitbucket does the work for us perfectly, so no real reason to switch.
We use Terraform because we needed a way to automate the process of building and deploying feature branches. We wanted to hide the complexity such that when a dev creates a PR, it triggers a build and deployment without the dev having to worry about any of the 'plumbing' going on behind the scenes. Terraform allows us to automate the process of provisioning DNS records, Amazon S3 buckets, Amazon EC2 instances and AWS Elastic Load Balancing (ELB)'s. It also makes it easy to tear it all down when finished. We also like that it supports multiple clouds, which is why we chose to use it over AWS CloudFormation.
How we ended up choosing Confluence as our internal web / wiki / documentation platform at Katana.
It happened because we chose Bitbucket over GitHub . We had Katana's first hackaton to assemble and test product engineering platform. It turned out that at that time you could have Bitbucket's private repositories and a team of five people for free - Done!
This decision led us to using Bitbucket pipelines for CI, Jira for Kanban, and finally, Confluence. We also use Microsoft Office 365 and started with using OneNote, but SharePoint is still a nightmare product to use to collaborate, so OneNote had to go.
Now, when thinking of the key value of Confluence to Katana then it is Product Requirements Management. We use Page Properties macros, integrations (with Slack , InVision, Sketch etc.) to manage Product Roadmap, flash out Epic and User Stories.
We ended up with using Confluence because it is the best fit for our current engineering ecosystem.
I use Terraform because it hits the level of abstraction pocket of being high-level and flexible, and is agnostic to cloud platforms. Creating complex infrastructure components for a solution with a UI console is tedious to repeat. Using low-level APIs are usually specific to cloud platforms, and you still have to build your own tooling for deploying, state management, and destroying infrastructure.
However, Terraform is usually slower to implement new services compared to cloud-specific APIs. It's worth the trade-off though, especially if you're multi-cloud. I heard someone say, "We want to preference a cloud, not lock in to one." Terraform builds on that claim.
Terraform Google Cloud Deployment Manager AWS CloudFormation
I use GitHub because it's the coolest kid on the block for open source. Searching for repos you need/want is easy.
Especially with the apache foundation moving their workloads to them, unlimited private repos, and a package registry on the way, they are becoming the one stop shop for open source needs.
I'm curious to see how the GitHub Sponsors(patreon for developers) plays out, and what it'll do for open source. Hopefully, they design it in a way where it's not abused by big tech to "plant" developers that look like they're building open source when they're actually building proprietary tools.
A bit difference in GitHub and GitLab though both are Version Control repository management services which provides key component in the software development workflow. A decision of choosing GitHub over GitLab is major leap extension from code management, to deployment and monitoring alongside looking beyond the code base hosting provided best fitted tools for developer communities.
- Authentication stages - With GitLab you can set and modify people’s permissions according to their role. In GitHub, you can decide if someone gets a read or write access to a repository.
- Built-In Continuous Integrations - GitLab offers its very own CI for free. No need to use an external CI service. And if you are already used to an external CI, you can obviously integrate with Jenkins, etc whereas GitHub offers various 3rd party integrations – such as Travis CI, CircleCI or Codeship – for running and testing your code. However, there’s no built-in CI solution at the moment.
- Import/Export Resources - GitLab offers detailed documentation on how to import your data from other vendors – such as GitHub, Bitbucket to GitLab. GitHub, on the other hand, does not offer such detailed documentation for the most common git repositories. However, GitHub offers to use GitHub Importer if you have your source code in Subversion, Mercurial, TFS and others.
Also when it comes to exporting data, GitLab seems to do a pretty solid job, offering you the ability to export your projects including the following data:
- Wiki and project repositories
- Project uploads
- The configuration including webhooks and services
- Issues with comments, merge requests with diffs and comments, labels, milestones, snippets, and other project entities.
GitHub, on the other hand, seems to be more restrictive when it comes to export features of existing GitHub repositories. * Integrations - #githubmarketplace gives you an essence to have multiple and competitive integrations whereas you will find less in the GitLab.
So go ahead with better understanding.
When you interact with CircleCI's web application, all of your requests are hitting the #API hosts. We handle the majority of our authentication via #OAuth from GitHub or Bitbucket. We provide programmatic access to everything exposed in the UI through an API token that you can generate once you have authenticated.
Manually clicking around the AWS UI or scripting AWS CLI calls can be both a slow and brittle process.
We needed to be able to reconstruct CloudRepo's infrastructure in case of disaster or moving to another AWS Region.
Setting up our infrastructure with CloudFormation allows us to update it easily as well as duplicate or recreate things when the need arises.
Opstax uses CloudFormation for anything infrastructure related! CloudFormation allows us to use infrastructure-as-code as a constant blueprint/map of our environment. It means we can accurately and efficiently deploy replicated or new infrastructure with no time wasted clicking around and no human error.
I was looking for an alternative to GitHub, where I could store my own private repositories. BitBucket filled that need and has performed extremely well.
I use Bitbucket's git repositories as a low cost config sync between servers.
We use Bitbucket and Bitbucket Pipelines because of its tight integration with JIRA and code authorization features.
The primary drawback is that its extension ecosystem (e.g., PR review tools) is miles behind Github
Manage infrastructure as codes. Native AWS solution so it has better support to AWS resources than Terraform, also can leverage AWS Business Support.
Best GIT repository management software that allows free closed-source projects. Also works seamlessly with other Atlassian products.
Great private repository capabilities that can be used for continuous integration in conjunction with Jira and Bamboo.
had to use it as a couple of clients had repos on it. worst of the git services. i try to stay far far away.