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  1. Stackups
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  4. Container Tools
  5. Kustomize vs kaniko

Kustomize vs kaniko

OverviewComparisonAlternatives

Overview

kaniko
kaniko
Stacks44
Followers79
Votes4
GitHub Stars15.7K
Forks1.5K
Kustomize
Kustomize
Stacks73
Followers37
Votes0
GitHub Stars11.8K
Forks2.3K

Kustomize vs kaniko: What are the differences?

Introduction

In the world of software development and deployment, tools such as Kustomize and kaniko play significant roles in the process. Both Kustomize and kaniko offer unique features and functionalities to streamline the deployment process. In this Markdown code, we will outline the key differences between Kustomize and kaniko.

  1. Containerization vs Configuration Management: The primary difference between Kustomize and kaniko lies in their main purpose. Kaniko is a container build system that allows building container images from a Dockerfile, while Kustomize is a configuration management tool that enables customization of Kubernetes resources without the need to modify the original YAML files.

  2. Build vs Deployment: Kaniko focuses on the build phase of the deployment process, providing a secure and efficient way to build container images. On the other hand, Kustomize is more focused on the deployment phase, allowing for easy customization and management of Kubernetes resources.

  3. Build Context: Kaniko requires the use of a build context, which serves as the source of the build process. It utilizes a tarball or Git repository as the build context to create container images. In contrast, Kustomize does not have a specific build context and operates directly on the Kubernetes resources.

  4. Layered Approach vs Declarative Approach: Kaniko follows a layered approach to building container images, allowing for incremental and efficient image building. It caches each layer and only rebuilds the necessary layers upon changes. Kustomize, on the other hand, takes a declarative approach by modifying the Kubernetes resources directly, making it easy to customize and manage the deployment configuration.

  5. Image Building Flexibility: Kaniko supports various container image formats, including Docker image format, OCI image format, and Buildah image format. It provides flexibility in choosing the desired image format based on specific requirements. Kustomize, on the other hand, does not directly deal with container image building and focuses more on the customization and deployment aspects.

  6. Level of Abstraction: Kaniko operates at a lower level of abstraction, allowing more control over the build process and the underlying container image. Kustomize, on the other hand, operates at a higher level, abstracting away the complexity of modifying Kubernetes resources directly, making it easier for developers to customize and manage deployments.

In Summary, Kustomize and kaniko differ in their main purpose, with kaniko focusing on container image building and Kustomize focusing on configuration management and customization of Kubernetes resources. Kaniko follows a layered approach for image building and provides more flexibility in image formats, while Kustomize operates at a higher level of abstraction and offers easier customization and deployment management.

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Detailed Comparison

kaniko
kaniko
Kustomize
Kustomize

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 introduces a template-free way to customize application configuration that simplifies the use of off-the-shelf applications. Now, built into kubectl as apply -k.

Build container images in environments that can't easily or securely run a Docker daemon, such as a standard Kubernetes cluster
Purely declarative approach to configuration customization; Natively built into kubectl; Manage an arbitrary number of distinctly customized Kubernetes configurations; Available as a standalone binary for extension and integration into other services; Every artifact that kustomize uses is plain YAML and can be validated and processed as such
Statistics
GitHub Stars
15.7K
GitHub Stars
11.8K
GitHub Forks
1.5K
GitHub Forks
2.3K
Stacks
44
Stacks
73
Followers
79
Followers
37
Votes
4
Votes
0
Pros & Cons
Pros
  • 3
    No need for docker demon
  • 1
    Automation using jules
Cons
  • 1
    Slow compared to docker
No community feedback yet
Integrations
Kubernetes
Kubernetes
Docker
Docker
Google Cloud Container Builder
Google Cloud Container Builder
Kubernetes
Kubernetes
Argo
Argo
Kubestack
Kubestack

What are some alternatives to kaniko, Kustomize?

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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