Overview

kubernetes-deploy

Stacks11

Followers61

Votes0

Skaffold

Stacks86

Followers186

Votes0

Skaffold vs kubernetes-deploy: What are the differences?

Architecture: Skaffold is a tool that automates Kubernetes development workflow, whereas kubernetes-deploy is a GitOps tool that manages Kubernetes applications. Skaffold focuses on building, testing, and deploying applications in Kubernetes, while kubernetes-deploy is more about declarative configuration management and continuous delivery.
Deployment Strategy: Skaffold supports various deployment strategies like apply, replace, and incremental builds, enabling faster development cycles. On the other hand, kubernetes-deploy follows a strict GitOps approach, applying changes to the cluster based on the declarative configuration stored in a Git repository.
Dependencies Handling: Skaffold handles dependencies like Dockerfiles, Helm charts, and kustomize configurations, making it easier for developers to manage complex application stacks. In contrast, kubernetes-deploy relies heavily on Git repositories for managing dependencies, making it more suitable for large-scale production environments with standardized deployment practices.
Scalability: Skaffold is more suited for individual developers or small teams working on iterative changes and fast deployments, as it streamlines the development workflow. Kubernetes-deploy, on the other hand, is designed for larger teams with multiple developers working on different parts of the application stack, ensuring consistency and centralized management.
Flexibility: Skaffold provides flexibility by supporting different build tools, containerization strategies, and deployment options, allowing developers to choose the best approach for their specific needs. In contrast, kubernetes-deploy enforces a stricter workflow based on GitOps principles, limiting the customization options but ensuring consistency and reliability in deployments.
Community Support: Skaffold has a vibrant community with active development and regular updates, making it well-suited for developers looking for the latest features and enhancements. Kubernetes-deploy, while effective in managing Kubernetes applications, may have a smaller community and fewer resources available for support and troubleshooting.

In Summary, the key differences between Skaffold and kubernetes-deploy lie in their architecture focus, deployment strategies, handling of dependencies, scalability, flexibility, and community support, catering to different needs in Kubernetes development and deployment workflows.

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Detailed Comparison

kubernetes-deploy	Skaffold
kubernetes-deploy is a command line tool that helps you ship changes to a Kubernetes namespace and understand the result. At Shopify, we use it within our much-beloved, open-source Shipit deployment app.	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.
-	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
Stacks 11	Stacks 86
Followers 61	Followers 186
Votes 0	Votes 0
Integrations
Kubernetes Ruby	Kubernetes Google Kubernetes Engine Docker

What are some alternatives to kubernetes-deploy, Skaffold?

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 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

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

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 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

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

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

It is an AI-driven cloud optimization platform for Kubernetes. Instantly cut your cloud bill, prevent downtime, and 10X the power of DevOps.

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 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.