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  5. Tilt vs minikube

Tilt vs minikube

OverviewComparisonAlternatives

Overview

minikube
minikube
Stacks110
Followers262
Votes3
GitHub Stars31.1K
Forks5.1K
Tilt
Tilt
Stacks29
Followers64
Votes0

Tilt vs minikube: What are the differences?

Introduction

Here, we will compare the key differences between Tilt and minikube, two popular tools used in the development and testing of Kubernetes applications. Tilt and minikube serve different purposes and have unique features that set them apart.

  1. Deployment Approach: Tilt focuses on a more developer-friendly deployment approach, allowing developers to iterate quickly on their code and see immediate results in the development environment. It uses a live-update strategy, where updates are applied directly to the running containers without redeploying the entire Kubernetes cluster. On the other hand, minikube is primarily used for local development and testing of Kubernetes applications. It creates a single-node cluster on the developer's machine, replicating the Kubernetes environment for testing purposes.

  2. Resource Provisioning: Tilt does not provision any infrastructure by itself. It assumes that the Kubernetes cluster is already up and running and focuses on managing the deployment and update process. Conversely, minikube provisions and manages a local single-node Kubernetes cluster automatically. It eliminates the need for developers to set up and configure a complete Kubernetes environment manually.

  3. UI and Configuration: Tilt provides a web-based user interface (UI) that offers real-time feedback on code changes and visualizes the dependencies of the services being developed. Developers can customize Tilt's behavior using a configuration file written in Python. In contrast, minikube does not have a built-in UI. It is mostly operated through the command line, with configuration options specified using command-line flags or a configuration file in YAML format.

  4. Scope of Use: Tilt is designed specifically for local development and testing purposes. It excels in scenarios where developers need to rapidly iterate and see immediate feedback on their code changes. On the other hand, minikube is more versatile and can be used for various purposes, including local development, testing, and deployment on a single node. It provides a closer representation of a production Kubernetes environment compared to Tilt.

  5. Interaction with External Tools and Services: Tilt integrates seamlessly with various external tools and services commonly used in the containerized application development workflow, such as Docker, Kubernetes, and Helm. It simplifies the management of these tools and allows developers to focus on writing code. Minikube also supports integration with external tools but is not specifically designed to streamline the development workflow like Tilt.

  6. Community and Ecosystem: Tilt has a relatively smaller user community and ecosystem compared to minikube. However, it is actively maintained and supported by a dedicated team. Minikube, being widely adopted, has a larger user community and a broader ecosystem. It benefits from a larger pool of resources, documentation, and community support.

In summary, Tilt and minikube differ in their deployment approach, resource provisioning, UI and configuration, scope of use, integration with external tools, and community and ecosystem. Tilt focuses on developer-friendly iteration and live updates, while minikube is more comprehensive, providing a local Kubernetes cluster for development, testing, and deployment.

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Detailed Comparison

minikube
minikube
Tilt
Tilt

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.

Tilt makes it possible to develop all your microservices locally in Kubernetes while collaborating with your team.

Local Kubernetes; LoadBalancer; Multi-cluster
-
Statistics
GitHub Stars
31.1K
GitHub Stars
-
GitHub Forks
5.1K
GitHub Forks
-
Stacks
110
Stacks
29
Followers
262
Followers
64
Votes
3
Votes
0
Pros & Cons
Pros
  • 1
    Let's me test k8s config locally
  • 1
    Easy setup
  • 1
    Can use same yaml config I'll use for prod deployment
No community feedback yet
Integrations
Windows
Windows
Linux
Linux
macOS
macOS
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to minikube, Tilt?

Kubernetes

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

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

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

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

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

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

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

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

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

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.

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