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  1. Stackups
  2. DevOps
  3. Code Collaboration
  4. Code Collaboration Version Control
  5. AWS CodePipeline vs Bitbucket

AWS CodePipeline vs Bitbucket

OverviewDecisionsComparisonAlternatives

Overview

Bitbucket
Bitbucket
Stacks41.1K
Followers33.4K
Votes2.8K
AWS CodePipeline
AWS CodePipeline
Stacks551
Followers933
Votes30

AWS CodePipeline vs Bitbucket: What are the differences?

Introduction:

In the world of software development and continuous integration and delivery (CI/CD), AWS CodePipeline and Bitbucket are two popular tools used to streamline the software development process. While they both aim to increase the efficiency and reliability of software delivery, there are key differences between AWS CodePipeline and Bitbucket that set them apart from each other.

  1. Integration and support for other tools: AWS CodePipeline offers seamless integration with a wide range of AWS services, such as AWS CodeBuild, AWS CodeDeploy, and AWS CodeCommit. This means that users can easily incorporate other AWS tools into their CI/CD pipeline. On the other hand, Bitbucket offers integration with a broader range of non-AWS tools, such as Jenkins, Bamboo, and JIRA. This flexibility allows users to choose from a wider variety of tools that best suit their specific development needs.

  2. Pricing structure: AWS CodePipeline follows a usage-based pricing model, where users pay based on the number of active pipelines and monthly active users. In contrast, Bitbucket offers a tiered pricing structure based on the number of users, with different levels of features and support available at each tier. This difference in pricing structure allows users to choose the option that aligns with their budget and team size.

  3. Cloud-based vs. self-hosted: AWS CodePipeline is a cloud-based service provided by Amazon Web Services, which means that users can access and manage their CI/CD pipelines from anywhere with an internet connection. In contrast, Bitbucket can be self-hosted, offering users the flexibility to maintain control over their infrastructure and data by hosting the tool on their own servers. This difference allows users to choose the option that best fits their security and compliance requirements.

  4. Pipeline customization: AWS CodePipeline provides a highly customizable pipeline setup, allowing users to define their own stages, actions, and workflows using the AWS Management Console or infrastructure-as-code tools like AWS CloudFormation. Bitbucket, on the other hand, provides a more simplified pipeline setup process with pre-defined stages and steps, which may be more suitable for users who prefer a more out-of-the-box approach.

  5. Support for multiple repositories: AWS CodePipeline supports integrations with various source code repositories, including AWS CodeCommit, GitHub, and Bitbucket. This allows users to have flexibility in choosing the repository that best suits their needs. Bitbucket, on the other hand, is primarily focused on supporting Git repositories, making it a more suitable choice for teams that use Git for version control.

  6. Automation and scalability: AWS CodePipeline offers automated deployments, enabling users to automatically deploy their applications to multiple environments, such as development, staging, and production. With the ability to scale pipelines vertically and horizontally, AWS CodePipeline can handle the increased load and complexity of larger projects. Bitbucket, while providing some automation capabilities, may require additional plugins or configurations to achieve similar levels of automation and scalability.

In summary, AWS CodePipeline and Bitbucket differ in terms of integration and support for other tools, pricing structure, cloud-based vs. self-hosted options, pipeline customization, support for multiple repositories, and automation and scalability. These differences allow users to choose the CI/CD tool that aligns with their specific needs, preferences, and budget.

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Advice on Bitbucket, AWS CodePipeline

Weverton
Weverton

CTO at SourceLevel

Aug 3, 2020

Review

Do you review your Pull/Merge Request before assigning Reviewers?

If you work in a team opening a Pull Request (or Merge Request) looks appropriate. However, have you ever thought about opening a Pull/Merge Request when working by yourself? Here's a checklist of things you can review in your own:

  • Pick the correct target branch
  • Make Drafts explicit
  • Name things properly
  • Ask help for tools
  • Remove the noise
  • Fetch necessary data
  • Understand Mergeability
  • Pass the message
  • Add screenshots
  • Be found in the future
  • Comment inline in your changes

Read the blog post for more detailed explanation for each item :D

What else do you review before asking for code review?

1.19M views1.19M
Comments
Weverton
Weverton

CTO at SourceLevel

Jul 22, 2020

Review

One of the magic tricks git performs is the ability to rewrite log history. You can do it in many ways, but git rebase -i is the one I most use. With this command, It’s possible to switch commits order, remove a commit, squash two or more commits, or edit, for instance.

It’s particularly useful to run it before opening a pull request. It allows developers to “clean up” the mess and organize commits before submitting to review. If you follow the practice 3 and 4, then the list of commits should look very similar to a task list. It should reveal the rationale you had, telling the story of how you end up with that final code.

1.1M views1.1M
Comments

Detailed Comparison

Bitbucket
Bitbucket
AWS CodePipeline
AWS CodePipeline

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.

CodePipeline builds, tests, and deploys your code every time there is a code change, based on the release process models you define.

Unlimited private repositories, charged per user;Best-in-class Jira integration;Built-in CI/CD;Deployment visibility;Embedded Trello boards; Command Instructions;Source Browser;Git Powered Wikis;Integrated Issue Tracking;Code reviews with inline comments;Compare View;Newsfeed;Followers;Developer Profiles;Autocompletion for @username mentions;Support for Mercurial
Workflow Modeling;AWS Integrations;Pre-Built Plugins;Custom Plugins;Declarative Templates;Access Control
Statistics
Stacks
41.1K
Stacks
551
Followers
33.4K
Followers
933
Votes
2.8K
Votes
30
Pros & Cons
Pros
  • 905
    Free private repos
  • 397
    Simple setup
  • 349
    Nice ui and tools
  • 342
    Unlimited private repositories
  • 240
    Affordable git hosting
Cons
  • 19
    Not much community activity
  • 17
    Difficult to review prs because of confusing ui
  • 15
    Quite buggy
  • 10
    Managed by enterprise Java company
  • 8
    CI tool is not free of charge
Pros
  • 13
    Simple to set up
  • 8
    Managed service
  • 4
    GitHub integration
  • 3
    Parallel Execution
  • 2
    Automatic deployment
Cons
  • 2
    No project boards
  • 1
    No integration with "Power" 365 tools
Integrations
Git
Git
AWS Cloud9
AWS Cloud9
Sentry
Sentry
Microsoft Azure
Microsoft Azure
npm
npm
Trello
Trello
Slack
Slack
Confluence
Confluence
Docker
Docker
Jira
Jira
Runscope
Runscope
Amazon S3
Amazon S3
GitHub
GitHub
Jenkins
Jenkins
CloudBees
CloudBees
BlazeMeter
BlazeMeter
Ghost Inspector
Ghost Inspector
AWS Elastic Beanstalk
AWS Elastic Beanstalk
Amazon EC2
Amazon EC2

What are some alternatives to Bitbucket, AWS CodePipeline?

GitHub

GitHub

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.

GitLab

GitLab

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.

Buddy

Buddy

Git platform for web and software developers with Docker-based tools for Continuous Integration and Deployment.

RhodeCode

RhodeCode

RhodeCode provides centralized control over distributed code repositories. Developers get code review tools and custom APIs that work in Mercurial, Git & SVN. Firms get unified security and user control so that their CTOs can sleep at night

AWS CodeCommit

AWS CodeCommit

CodeCommit eliminates the need to operate your own source control system or worry about scaling its infrastructure. You can use CodeCommit to securely store anything from source code to binaries, and it works seamlessly with your existing Git tools.

Gogs

Gogs

The goal of this project is to make the easiest, fastest and most painless way to set up a self-hosted Git service. With Go, this can be done in independent binary distribution across ALL platforms that Go supports, including Linux, Mac OS X, and Windows.

Gitea

Gitea

Git with a cup of tea! Painless self-hosted all-in-one software development service, including Git hosting, code review, team collaboration, package registry and CI/CD. It published under the MIT license.

Cloud 66

Cloud 66

Cloud 66 gives you everything you need to build, deploy and maintain your applications on any cloud, without the headache of dealing with "server stuff". Frameworks: Ruby on Rails, Node.js, Jamstack, Laravel, GoLang, and more.

DeployBot

DeployBot

DeployBot makes it simple to deploy your work anywhere. You can compile or process your code in a Docker container on our infrastructure, and we'll copy it to your servers once everything has been successfully built.

Upsource

Upsource

Upsource summarizes recent changes in your repository, showing commit messages, authors, quick diffs, links to detailed diff views and associated code reviews. A commit graph helps visualize the history of commits, branches and merges in your repository.

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