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  1. Stackups
  2. DevOps
  3. Continuous Deployment
  4. Continuous Deployment
  5. DeployBot vs Deployer

DeployBot vs Deployer

OverviewComparisonAlternatives

Overview

DeployBot
DeployBot
Stacks90
Followers92
Votes74
Deployer
Deployer
Stacks49
Followers74
Votes21
GitHub Stars10.9K
Forks1.5K

DeployBot vs Deployer: What are the differences?

  1. Integration of third-party services: DeployBot offers seamless integration with popular services like GitHub, Bitbucket, and Slack for improved collaboration and automation, while Deployer primarily focuses on providing a robust set of deployment tools within the command-line interface without extensive third-party integrations.

  2. Deployment Methods: DeployBot simplifies deployment for various scenarios through methods like FTP, SFTP, Git, or SSH for different environments, ensuring flexibility, whereas Deployer specializes in providing a structured and customizable deployment process through shell scripts, making it suitable for complex deployment workflows.

  3. Configuration Setup: DeployBot offers a user-friendly web interface allowing users to configure deployments, manage access controls, and monitor deployment process easily, while Deployer requires users to have a thorough understanding of configuration files and command-line instructions for setting up deployments efficiently.

  4. Pricing Model: DeployBot follows a subscription-based pricing model with different tiers based on the number of deployments and team members, providing a clear cost structure, whereas Deployer is an open-source tool with no direct costs, making it a cost-effective choice for teams with a technical background.

  5. Scalability: DeployBot is suitable for teams of various sizes due to its scalable infrastructure, accommodating multiple projects and team members with different permissions and roles effectively, while Deployer is more suitable for smaller teams or individual developers looking for a lightweight deployment tool that can be easily managed within a single command-line interface.

  6. Community Support: DeployBot offers dedicated support and customer service for troubleshooting and technical assistance, ensuring a smooth deployment experience, whereas Deployer relies on community forums and documentation for resolving issues, requiring users to have a higher level of technical expertise for troubleshooting problems independently.

In Summary, DeployBot and Deployer differ in their integration capabilities, deployment methods, configuration setup, pricing models, scalability, and community support.

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Detailed Comparison

DeployBot
DeployBot
Deployer
Deployer

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.

A deployment tool written in PHP with support for popular frameworks out of the box

Manually deploy with a click in the app, automatically deploy on each push, or use deploy tags in a commit [deploy:production].;DeployBot gathers new and changed files from your repositories since the last deployment. You can even preview the changes first.;Files are uploaded, SSH commands are executed and deployment hooks are triggered. Everything is logged for you.;Your entire team can view release notes and optionally receive an email notification with details about the deployment status.;Environments overview;Deployments timeline;Deployment details: tickets, revisions & files
Simple setup process and a minimal learning curve;Ready to use recipes for most frameworks;Parallel execution without extensions;Something went wrong? Rollback to the previous release;Agentless, it's just SSH;Zero downtime deployments;
Statistics
GitHub Stars
-
GitHub Stars
10.9K
GitHub Forks
-
GitHub Forks
1.5K
Stacks
90
Stacks
49
Followers
92
Followers
74
Votes
74
Votes
21
Pros & Cons
Pros
  • 26
    Easy setup
  • 20
    Seamless integrations
  • 17
    Free
  • 10
    Rocks
  • 1
    Docker
Cons
  • 1
    Not reliable
Pros
  • 8
    Simply to use
  • 7
    Easy to customize
  • 6
    Easy setup
Integrations
Slack
Slack
HipChat
HipChat
New Relic
New Relic
Bugsnag
Bugsnag
DigitalOcean
DigitalOcean
Zend Framework
Zend Framework
Yii
Yii
New Relic
New Relic
Drupal
Drupal
WordPress
WordPress
Magento
Magento
Slack
Slack
CodeIgniter
CodeIgniter
Symfony
Symfony
Laravel
Laravel

What are some alternatives to DeployBot, Deployer?

Buddy

Buddy

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

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.

AWS CodePipeline

AWS CodePipeline

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

Spinnaker

Spinnaker

Created at Netflix, it has been battle-tested in production by hundreds of teams over millions of deployments. It combines a powerful and flexible pipeline management system with integrations to the major cloud providers.

Harness.io

Harness.io

It automates the entire CI/CD process, uses machine learning to protect you when deployments fail, equips you with enterprise-grade security, & simplifies cloud cost visibility, savings, & forecasting without any tagging requirements.

Google Cloud Build

Google Cloud Build

Cloud Build lets you build software quickly across all languages. Get complete control over defining custom workflows for building, testing, and deploying across multiple environments such as VMs, serverless, Kubernetes, or Firebase.

Kraken Deploy

Kraken Deploy

Modern deployment platform with event-driven architecture, real-time monitoring, and enterprise security. The cloud-native alternative to Octopus Deploy.

DeployHQ

DeployHQ

A service packed with features to help you automate and manage the continuous deployment of your websites.

Gaia

Gaia

Gaia is an open source automation platform which makes it easy and fun to build powerful pipelines in any programming language. Based on HashiCorp's go-plugin and gRPC, gaia is efficient, fast, lightweight, and developer friendly.

Weaveworks Flux

Weaveworks Flux

It is the operator that makes GitOps happen in your cluster. It ensures that the cluster config matches the one in git and automates your deployments.

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