DeployBot vs Docker

Overview

DeployBot

Stacks94

Followers92

Votes74

Docker

Stacks179.0K

Followers143.8K

Votes3.9K

DeployBot vs Docker: What are the differences?

Developers describe DeployBot as "Instantly deploy from Github, Bitbucket, or Gitlab without complex scripts, commands or configs". 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. On the other hand, Docker is detailed as "Enterprise Container Platform for High-Velocity Innovation". The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere.

DeployBot and Docker are primarily classified as "Continuous Deployment" and "Virtual Machine Platforms & Containers" tools respectively.

Some of the features offered by DeployBot are:

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.

On the other hand, Docker provides the following key features:

Integrated developer tools
open, portable images
shareable, reusable apps

"Easy setup" is the primary reason why developers consider DeployBot over the competitors, whereas "Rapid integration and build up" was stated as the key factor in picking Docker.

Docker is an open source tool with 54K GitHub stars and 15.6K GitHub forks. Here's a link to Docker's open source repository on GitHub.

According to the StackShare community, Docker has a broader approval, being mentioned in 3527 company stacks & 3448 developers stacks; compared to DeployBot, which is listed in 37 company stacks and 6 developer stacks.

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Advice on DeployBot, Docker

Florian

IT DevOp at Agitos GmbH

Oct 22, 2019

Decided

lxd/lxc and Docker aren't congruent so this comparison needs a more detailed look; but in short I can say: the lxd-integrated administration of storage including zfs with its snapshot capabilities as well as the system container (multi-process) approach of lxc vs. the limited single-process container approach of Docker is the main reason I chose lxd over Docker.

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Detailed Comparison

DeployBot	Docker
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.	The Docker Platform is the industry-leading container platform for continuous, high-velocity innovation, enabling organizations to seamlessly build and share any application — from legacy to what comes next — and securely run them anywhere
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	Integrated developer tools; open, portable images; shareable, reusable apps; framework-aware builds; standardized templates; multi-environment support; remote registry management; simple setup for Docker and Kubernetes; certified Kubernetes; application templates; enterprise controls; secure software supply chain; industry-leading container runtime; image scanning; access controls; image signing; caching and mirroring; image lifecycle; policy-based image promotion
Statistics
Stacks 94	Stacks 179.0K
Followers 92	Followers 143.8K
Votes 74	Votes 3.9K
Pros & Cons
Pros 26 Easy setup 20 Seamless integrations 17 Free 10 Rocks 1 Docker Cons 1 Not reliable	Pros 823 Rapid integration and build up 692 Isolation 521 Open source 505 Testability and reproducibility 460 Lightweight Cons 8 New versions == broken features 6 Documentation not always in sync 6 Unreliable networking 4 Moves quickly 3 Not Secure
Integrations
Slack HipChat New Relic Bugsnag DigitalOcean	Java Docker Compose VirtualBox Linux Amazon EC2 Container Service Docker Swarm boot2docker Kubernetes Docker Machine Vagrant

What are some alternatives to DeployBot, Docker?

Buddy

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

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.

LXD

LXD isn't a rewrite of LXC, in fact it's building on top of LXC to provide a new, better user experience. Under the hood, LXD uses LXC through liblxc and its Go binding to create and manage the containers. It's basically an alternative to LXC's tools and distribution template system with the added features that come from being controllable over the network.

AWS CodePipeline

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

Deployer

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

LXC

LXC is a userspace interface for the Linux kernel containment features. Through a powerful API and simple tools, it lets Linux users easily create and manage system or application containers.

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.

rkt

Rocket is a cli for running App Containers. The goal of rocket is to be composable, secure, and fast.

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

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.