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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. K9s vs Skaffold

K9s vs Skaffold

OverviewComparisonAlternatives

Overview

Skaffold
Skaffold
Stacks86
Followers186
Votes0
K9s
K9s
Stacks75
Followers103
Votes2
GitHub Stars31.7K
Forks2.0K

K9s vs Skaffold: What are the differences?

Key Differences between K9s and Skaffold

  1. Purpose: K9s is a terminal-based UI for Kubernetes, primarily focusing on providing a convenient way to interact with clusters and resources, while Skaffold is a tool designed for automating Kubernetes development workflows, including building, pushing, and deploying applications.

  2. User Interface: K9s offers a rich, interactive terminal-based user interface with features like cluster navigation, resource management, logs viewing, and more, while Skaffold provides a command-line interface (CLI) for configuring deployments, setting up build pipelines, and managing the development process.

  3. Functionality: K9s excels in monitoring, troubleshooting, and managing Kubernetes resources through its intuitive interface, whereas Skaffold specializes in automating the build and deployment process of containerized applications, streamlining the development workflow.

  4. Flexibility: K9s offers greater flexibility in terms of resource visualization, real-time monitoring, quick debugging, and efficient resource management within Kubernetes clusters, whereas Skaffold focuses more on automating repetitive tasks, such as rebuilding and redeploying applications during the development cycle.

  5. Integration: K9s integrates well with Kubernetes clusters for efficient cluster management and monitoring, while Skaffold integrates seamlessly with CI/CD pipelines, container registries, and other development tools to streamline the deployment process.

In Summary, the key differences between K9s and Skaffold lie in their primary purpose, user interface, functionality, flexibility, and integration capabilities within Kubernetes development workflows.

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Detailed Comparison

Skaffold
Skaffold
K9s
K9s

Skaffold is a command line tool that facilitates continuous development for Kubernetes applications. You can iterate on your application source code locally then deploy to local or remote Kubernetes clusters. Skaffold handles the workflow for building, pushing and deploying your application. It can also be used in an automated context such as a CI/CD pipeline to leverage the same workflow and tooling when moving applications to production.

K9s provides a curses based terminal UI to interact with your Kubernetes clusters. The aim of this project is to make it easier to navigate, observe and manage your applications in the wild. K9s continually watches Kubernetes for changes and offers subsequent commands to interact with observed resources.

No server-side component. No overhead to your cluster.;Detect changes in your source code and automatically build/push/deploy.;Image tag management. Stop worrying about updating the image tags in Kubernetes manifests to push out changes during development.;Supports existing tooling and workflows. Build and deploy APIs make each implementation composable to support many different workflows.;Support for multiple application components. Build and deploy only the pieces of your stack that have changed.;Deploy regularly when saving files or run one off deployments using the same configuration
-
Statistics
GitHub Stars
-
GitHub Stars
31.7K
GitHub Forks
-
GitHub Forks
2.0K
Stacks
86
Stacks
75
Followers
186
Followers
103
Votes
0
Votes
2
Pros & Cons
No community feedback yet
Pros
  • 2
    Nice UI and fast way to manage my kubernetes clusters
Integrations
Kubernetes
Kubernetes
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker
Kubernetes
Kubernetes

What are some alternatives to Skaffold, K9s?

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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