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  1. Stackups
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  4. Virtual Machine Platforms And Containers
  5. Docker vs Optimizely Rollouts

Docker vs Optimizely Rollouts

OverviewComparisonAlternatives

Overview

Docker
Docker
Stacks194.2K
Followers143.8K
Votes3.9K
Optimizely Rollouts
Optimizely Rollouts
Stacks4
Followers28
Votes0

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Detailed Comparison

Docker
Docker
Optimizely Rollouts
Optimizely Rollouts

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

It is unlimited free feature flags and rollouts built on an enterprise-grade platform. Manage your features remotely and roll them out gradually to targeted audiences, without re-deploying your code. Connect Rollouts with Jira and invite your product and engineering teams to work together.

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
Unlimited feature flags; Staged rollouts; REST API; Roll out everywhere; Change history; Audience targeting; Cloud dashboard; Advanced user permissions; Enterprise security and compliance
Statistics
Stacks
194.2K
Stacks
4
Followers
143.8K
Followers
28
Votes
3.9K
Votes
0
Pros & Cons
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
No community feedback yet
Integrations
Java
Java
Docker Compose
Docker Compose
VirtualBox
VirtualBox
Linux
Linux
Amazon EC2 Container Service
Amazon EC2 Container Service
Docker Swarm
Docker Swarm
boot2docker
boot2docker
Kubernetes
Kubernetes
Docker Machine
Docker Machine
Vagrant
Vagrant
React
React
Python
Python
C#
C#
Jira
Jira
Node.js
Node.js
Java
Java
JavaScript
JavaScript
Golang
Golang
Ruby
Ruby
PHP
PHP

What are some alternatives to Docker, Optimizely Rollouts?

LXD

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.

LXC

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.

ConfigCat

ConfigCat

Cross-platform feature flag service for Teams. It is a hosted or on-premise service with a web app for feature management, and SDKs for all major programming languages and technologies.

Unleash Hosted

Unleash Hosted

It is a simple feature management system. It gives you great overview of all feature toggles across all your applications. You decide who is exposed to which feature.

rkt

rkt

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

LaunchDarkly

LaunchDarkly

Serving over 200 billion feature flags daily to help software teams build better software, faster. LaunchDarkly helps eliminate risk for developers and operations teams from the software development cycle.

Airship

Airship

Airship is a modern product flagging framework that gives the right people total control over what your customers see & experience - without deploying code.

Flagr

Flagr

Open-source Go microservice supports feature flagging, A/B testing, and dynamic configuration. Logs data records and impressions.

Split

Split

Feature flags as a service for data-driven teams: Split automatically tracks changes to key metrics during every feature rollout. Split serves billions of impressions, helping organizations of all sizes to rapidly turn ideas into products.

Vagrant Cloud

Vagrant Cloud

Vagrant Cloud pairs with Vagrant to enable access, insight and collaboration across teams, as well as to bring exposure to community contributions and development environments.

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