What is minikube?
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.
minikube
is a tool in the
Container Tools
category of a tech stack.
minikube
is an open source tool with
26K
GitHub stars and
4.5K
GitHub forks. Here’s a link to
minikube
's open source repository on
GitHub
Who uses minikube?
Companies
19
companies reportedly use
minikube
in their tech stacks, including
deleokorea
,
useinsider
,
and
Braincube
.
-
deleokorea
-
useinsider
-
Braincube
-
CommonBond
-
Cartona
-
SuperAwesome
-
FiveStars
-
Preventor Platform
-
Kalibrr
Developers
82
developers on StackShare have stated that they use
minikube
.
minikube Integrations
Linux
,
Windows
,
macOS
,
Pixie
,
and
Hypertrace
are some of the popular tools that integrate with
minikube
. Here's a list of all
5
tools that integrate with
minikube
.
Pros of
minikube
1
1
1
minikube 's Features
- Local Kubernetes
- LoadBalancer
- Multi-cluster
minikube Alternatives & Comparisons
What are some alternatives to
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.
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
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
Kind
It is a tool for running local Kubernetes clusters using Docker container “nodes”.
It was primarily designed for testing Kubernetes itself, but may be used for local development or CI.
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.
