kaniko vs minikube

Overview

kaniko

Stacks44

Followers79

Votes4

GitHub Stars15.7K

Forks1.5K

minikube

Stacks110

Followers262

Votes3

GitHub Stars31.1K

Forks5.1K

kaniko vs minikube: What are the differences?

Developers describe kaniko as "Build container images in Kubernetes". A tool to build container images from a Dockerfile, inside a container or Kubernetes cluster kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster.. On the other hand, minikube is detailed as "Local Kubernetes engine". It implements a local Kubernetes cluster on macOS, Linux, and Windows. Its goal is to be the tool for local Kubernetes application development and to support all Kubernetes features that fit.

kaniko and minikube can be categorized as "Container" tools.

kaniko and minikube are both open source tools. minikube with 15.2K GitHub stars and 2.39K forks on GitHub appears to be more popular than kaniko with 4.14K GitHub stars and 334 GitHub forks.

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Detailed Comparison

kaniko	minikube
A tool to build container images from a Dockerfile, inside a container or Kubernetes cluster. kaniko doesn't depend on a Docker daemon and executes each command within a Dockerfile completely in userspace. This enables building container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster.	It implements a local Kubernetes cluster on macOS, Linux, and Windows. Its goal is to be the tool for local Kubernetes application development and to support all Kubernetes features that fit.
Build container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster	Local Kubernetes; LoadBalancer; Multi-cluster
Statistics
GitHub Stars 15.7K	GitHub Stars 31.1K
GitHub Forks 1.5K	GitHub Forks 5.1K
Stacks 44	Stacks 110
Followers 79	Followers 262
Votes 4	Votes 3
Pros & Cons
Pros 3 No need for docker demon 1 Automation using jules Cons 1 Slow compared to docker	Pros 1 Let's me test k8s config locally 1 Easy setup 1 Can use same yaml config I'll use for prod deployment
Integrations
Kubernetes Docker Google Cloud Container Builder	Windows Linux macOS

What are some alternatives to kaniko, minikube?

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.

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.