Portainer vs Flagger | What are the differences? | StackShare

Flagger vs Portainer

Overview

Portainer

Stacks506

Followers842

Votes146

Flagger

Stacks12

Followers12

Votes0

Flagger vs Portainer: What are the differences?

Flagger: Progressive delivery Kubernetes operator. Progressive Delivery operator for Kubernetes (Canary, A/B Testing and Blue/Green deployments); Portainer: Simple management UI for Docker. Portainer is an open-source lightweight management UI which allows you to easily manage your Docker environments Portainer is available on Windows, Linux and Mac. It has never been so easy to manage Docker !.

Flagger and Portainer can be primarily classified as "Container" tools.

Some of the features offered by Flagger are:

Flexible Traffic Routing
Extensible Validation
Progressive Delivery

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

Docker management
Docker UI
Docker cluster management

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Detailed Comparison

Portainer	Flagger
It is a universal container management tool. It works with Kubernetes, Docker, Docker Swarm and Azure ACI. It allows you to manage containers without needing to know platform-specific code.	Progressive Delivery operator for Kubernetes (Canary, A/B Testing and Blue/Green deployments)
Docker management; Docker UI; Docker cluster management; Swarm visualizer; Authentication; User Access Control; Docker container management; Docker service management; Docker overview; Docker console; Docker swarm status; Docker image management; Docker network management; Docker dashboard; Remote HTTP API; Automation	Flexible Traffic Routing; Extensible Validation; Progressive Delivery; Canary (progressive traffic shifting); A/B Testing (HTTP headers and cookies traffic routing)
Statistics
Stacks 506	Stacks 12
Followers 842	Followers 12
Votes 146	Votes 0
Pros & Cons
Pros 36 Simple 27 Great UI 19 Friendly 12 Easy to setup, gives a practical interface for Docker 11 Because it just works, super simple yet powerful	No community feedback yet
Integrations
Docker Swarm Docker Secrets Auth0 Kubernetes Docker	NGINX Kubernetes Istio Slack Discord

What are some alternatives to Portainer, Flagger?

Kubernetes

Kubernetes is an open source orchestration system for Docker containers. It handles scheduling onto nodes in a compute cluster and actively manages workloads to ensure that their state matches the users declared intentions.

Rancher

Rancher is an open source container management platform that includes full distributions of Kubernetes, Apache Mesos and Docker Swarm, and makes it simple to operate container clusters on any cloud or infrastructure platform.

Docker Compose

With Compose, you define a multi-container application in a single file, then spin your application up in a single command which does everything that needs to be done to get it running.

Docker Swarm

Swarm serves the standard Docker API, so any tool which already communicates with a Docker daemon can use Swarm to transparently scale to multiple hosts: Dokku, Compose, Krane, Deis, DockerUI, Shipyard, Drone, Jenkins... and, of course, the Docker client itself.

Tutum

Tutum lets developers easily manage and run lightweight, portable, self-sufficient containers from any application. AWS-like control, Heroku-like ease. The same container that a developer builds and tests on a laptop can run at scale in Tutum.

Codefresh

Automate and parallelize testing. Codefresh allows teams to spin up on-demand compositions to run unit and integration tests as part of the continuous integration process. Jenkins integration allows more complex pipelines.

CAST.AI

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

k3s

Certified Kubernetes distribution designed for production workloads in unattended, resource-constrained, remote locations or inside IoT appliances. Supports something as small as a Raspberry Pi or as large as an AWS a1.4xlarge 32GiB server.

Flocker

Flocker is a data volume manager and multi-host Docker cluster management tool. With it you can control your data using the same tools you use for your stateless applications. This means that you can run your databases, queues and key-value stores in Docker and move them around as easily as the rest of your app.