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  1. Stackups
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  4. Container Tools
  5. Draft vs Skaffold

Draft vs Skaffold

OverviewComparisonAlternatives

Overview

Draft
Draft
Stacks2
Followers18
Votes0
GitHub Stars626
Forks70
Skaffold
Skaffold
Stacks86
Followers186
Votes0

Draft vs Skaffold: What are the differences?

# Introduction

Key differences between Draft and Skaffold are as follows:

1. **Use Case**: Draft is mainly used for local development and early-stage application deployment, focusing on rapid iteration and testing without much concern for production-level optimizations. On the other hand, Skaffold is designed for continuous development and deployment workflows in complex production environments, offering features like versioning, resource optimization, and integration with CI/CD pipelines.
   
2. **Deployment Strategy**: Draft simplifies the deployment process by generating Kubernetes configuration files and managing deployment to a local cluster, making it easy for developers to get started. Conversely, Skaffold provides a more flexible approach by allowing users to define custom deployment strategies, such as deploying to different clusters or environments based on specific conditions.
   
3. **Integration with CI/CD**: While both tools support integration with CI/CD pipelines, Skaffold offers more advanced CI/CD features like triggering deployments based on Git commits or external events, allowing for automated and robust deployment workflows. Draft, on the other hand, is more focused on simplifying the local development experience and may require additional configurations for seamless CI/CD integration.
   
4. **Dependency Management**: Skaffold provides better support for managing dependencies and external dependencies, enabling users to update dependencies, handle versioning, and ensure consistency across different environments more effectively. Draft, while offering basic support for dependencies, may not be as robust when it comes to managing complex dependency requirements in production environments.
   
5. **Configuration Options**: Skaffold offers more configuration options and customization capabilities, allowing users to fine-tune deployment settings, define build strategies, and specify resource allocation more precisely. In contrast, Draft emphasizes simplicity and ease of use, providing fewer advanced configuration options but streamlining the development process for beginners and small projects.
   
In Summary, Draft is better suited for rapid local development and testing, while Skaffold is more suitable for complex continuous deployment workflows in production environments with advanced customization and integration options.

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Detailed Comparison

Draft
Draft
Skaffold
Skaffold

Draft makes it easy to build applications that run on Kubernetes. Draft targets the "inner loop" of a developer's workflow: as they hack on code, but before code is committed to version control.

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.

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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
626
GitHub Stars
-
GitHub Forks
70
GitHub Forks
-
Stacks
2
Stacks
86
Followers
18
Followers
186
Votes
0
Votes
0
Integrations
Docker
Docker
Kubernetes
Kubernetes
Azure Container Service
Azure Container Service
Kubernetes
Kubernetes
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker

What are some alternatives to Draft , Skaffold?

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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