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  5. Skaffold vs containerd

Skaffold vs containerd

OverviewComparisonAlternatives

Overview

Skaffold
Skaffold
Stacks86
Followers186
Votes0
containerd
containerd
Stacks81
Followers140
Votes5

Skaffold vs containerd: What are the differences?

Key Differences between Skaffold and containerd

Skaffold and containerd are both popular tools in the containerization ecosystem, but they serve different purposes and offer distinct features. Here are the key differences between Skaffold and containerd:

  1. Integration with Kubernetes: Skaffold is specifically designed to streamline the development workflow for Kubernetes applications. It provides automation for building, testing, and deploying application artifacts to a Kubernetes cluster. On the other hand, containerd is a container runtime that focuses on the low-level management of container images, container execution, and container storage. While it can be used with Kubernetes, it lacks the higher-level development workflow facilitation that Skaffold provides.

  2. Build and Deployment Strategies: Skaffold supports various build and deployment strategies, including local, remote, and cluster-based building and deploying. It enables developers to build their application artifacts locally or remotely and deploy them to a development cluster or custom deployment targets. On the contrary, containerd focuses on the runtime aspect of containers and doesn't provide built-in support for complex build and deployment strategies. It relies on external tools or orchestrators like Kubernetes for handling such tasks.

  3. Developer-Centric Features: Skaffold offers several developer-centric features aimed at improving the development experience. It supports hot reloading of application code, allowing developers to see their changes immediately without the need for manual rebuilds and redeploys. It also supports automated image building and pushing, making it easy to iterate on changes during development. In contrast, containerd primarily focuses on the operations and management aspects of containers, lacking the developer-centric features that Skaffold provides.

  4. Extensibility and Customization: Skaffold allows users to extend its functionality and customize the build and deployment process through its plugin system. Developers can create their own plugins or leverage existing ones to add additional capabilities to Skaffold. On the other hand, containerd is more focused on providing a stable and reliable container runtime with limited extensibility. While it can be extended, it requires more low-level implementation and customization compared to Skaffold's plugin system.

  5. Workflow Automation: Skaffold simplifies the development workflow by automating repetitive tasks such as building container images, deploying them to a cluster, and watching for changes to automatically trigger rebuilds and redeployments. It provides a streamlined experience for developers, reducing the manual effort required in the development process. In contrast, containerd doesn't offer built-in workflow automation capabilities. It primarily focuses on container runtime operations without providing automation features tailored specifically to development workflows.

  6. Ease of Use for Developers: Skaffold aims to provide a user-friendly experience for developers, offering easy integration with popular tools and frameworks commonly used in Kubernetes development. It supports various programming languages and frameworks out-of-the-box, making it accessible to a wide range of developers. On the other hand, containerd is more focused on the low-level aspects of container management and may require more technical expertise to work with effectively.

In Summary, Skaffold is a developer-centric tool that focuses on streamlining the development workflow for Kubernetes applications, offering features such as automated building and deployment strategies, hot reloading, and extensibility. On the other hand, containerd is a container runtime that primarily focuses on the low-level management of containers, lacking the higher-level development workflow facilitation provided by Skaffold.

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Detailed Comparison

Skaffold
Skaffold
containerd
containerd

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.

An industry-standard container runtime with an emphasis on simplicity, robustness, and portability

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
OCI Image Spec support; OCI Runtime Spec support (aka runC); Image push and pull support; Container runtime and lifecycle support; Network primitives for creation, modification, and deletion of interfaces; Multi-tenant supported with CAS storage for global images; Management of network namespaces containers to join existing namespaces
Statistics
Stacks
86
Stacks
81
Followers
186
Followers
140
Votes
0
Votes
5
Pros & Cons
No community feedback yet
Pros
  • 3
    No Need for docker shim
  • 2
    Supports Kubernetes version greater than 1.21
  • 0
    Needs docker shim to work on kubernetes
  • 0
    No kubernetes support after 1.22
Integrations
Kubernetes
Kubernetes
Google Kubernetes Engine
Google Kubernetes Engine
Docker
Docker
No integrations available

What are some alternatives to Skaffold, containerd?

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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