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  1. Stackups
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  5. DevSpace for Kubernetes vs Kustomize

DevSpace for Kubernetes vs Kustomize

OverviewComparisonAlternatives

Overview

DevSpace for Kubernetes
DevSpace for Kubernetes
Stacks16
Followers36
Votes0
Kustomize
Kustomize
Stacks73
Followers37
Votes0
GitHub Stars11.8K
Forks2.3K

DevSpace for Kubernetes vs Kustomize: What are the differences?

  1. Setup and Configuration: DevSpace for Kubernetes provides a user-friendly UI for managing Kubernetes clusters, while Kustomize requires the user to work with YAML configuration files directly, which can be less intuitive for beginners.
  2. Customization Options: Kustomize allows users to customize Kubernetes resources by applying patches to base configurations, whereas DevSpace for Kubernetes offers a simpler way to deploy and manage applications without the need for extensive manual customization.
  3. Built-in Features: DevSpace for Kubernetes comes with built-in support for development workflows, such as hot reloading and debugging, making it easier for developers to iterate on their applications, while Kustomize focuses solely on managing resources in a Kubernetes cluster.
  4. Community Support: Kustomize has a larger community and a longer history of development, which means there are more resources and documentation available for users, compared to the relatively newer DevSpace for Kubernetes, which is still growing its user base.
  5. Learning Curve: DevSpace for Kubernetes offers a more user-friendly experience with a lower learning curve, making it suitable for beginners and developers who are new to Kubernetes, whereas Kustomize requires a deeper understanding of Kubernetes concepts and YAML syntax.
  6. Integration with CI/CD Tools: Kustomize can be seamlessly integrated into CI/CD pipelines for continuous deployment, whereas DevSpace for Kubernetes might require additional configuration to work effectively in automated deployment workflows.

In Summary, DevSpace for Kubernetes and Kustomize differ in terms of setup, customization options, built-in features, community support, learning curve, and integration with CI/CD tools, providing users with different options for managing and deploying applications in Kubernetes environments.

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Detailed Comparison

DevSpace for Kubernetes
DevSpace for Kubernetes
Kustomize
Kustomize

It is an open-source developer tool for Kubernetes that lets you develop and deploy cloud-native software faster. It is a client-only CLI tool that runs on your machine and works with any Kubernetes cluster. You can use it to automate image building and deployments, to develop software directly inside Kubernetes and to streamline workflows across your team as well as across dev, staging and production.

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.

Automated Image Building with devspace build; Automated Deployment with devspace deploy; Efficient In-Cluster Development with devspace dev; Feature-Rich Localhost Development UI with devspace ui; Lightweight (Client-Only); Easy to Setup; Extensive Customization via Profiles and Config Patches
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
-
GitHub Stars
11.8K
GitHub Forks
-
GitHub Forks
2.3K
Stacks
16
Stacks
73
Followers
36
Followers
37
Votes
0
Votes
0
Integrations
DigitalOcean
DigitalOcean
Amazon EKS
Amazon EKS
Rancher
Rancher
Kubernetes
Kubernetes
Kubernetes
Kubernetes
Argo
Argo
Kubestack
Kubestack

What are some alternatives to DevSpace for Kubernetes, 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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