k3s vs Flagger | What are the differences? | StackShare

Flagger vs k3s

Overview

k3s

Stacks97

Followers252

Votes16

Flagger

Stacks12

Followers12

Votes0

Flagger vs k3s: What are the differences?

What is Flagger? Progressive delivery Kubernetes operator. Progressive Delivery operator for Kubernetes (Canary, A/B Testing and Blue/Green deployments).

What is k3s? Lightweight Kubernetes. 5 less than k8s (by Rancher Labs). 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.

Flagger and k3s belong to "Container Tools" category of the tech stack.

Some of the features offered by Flagger are:

Flexible Traffic Routing
Extensible Validation
Progressive Delivery

On the other hand, k3s provides the following key features:

ARM64 and ARMv7 support
Simplified installation
SQLite3 support

k3s is an open source tool with 14.7K GitHub stars and 1.16K GitHub forks. Here's a link to k3s's open source repository on GitHub.

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Detailed Comparison

k3s	Flagger
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.	Progressive Delivery operator for Kubernetes (Canary, A/B Testing and Blue/Green deployments)
ARM64 and ARMv7 support; Simplified installation; SQLite3 support; etcd support; Automatic Manifest and Helm Chart management; containerd, CoreDNS, Flannel support	Flexible Traffic Routing; Extensible Validation; Progressive Delivery; Canary (progressive traffic shifting); A/B Testing (HTTP headers and cookies traffic routing)
Statistics
Stacks 97	Stacks 12
Followers 252	Followers 12
Votes 16	Votes 0
Pros & Cons
Pros 6 Lightweight 4 Easy 2 Scale Services 2 Open Source 2 Replication Controller	No community feedback yet
Integrations
Kubernetes SQLite	NGINX Kubernetes Istio Slack Discord

What are some alternatives to k3s, 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.

Portainer

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.

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.

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.