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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. containerd vs kubernetes-deploy

containerd vs kubernetes-deploy

OverviewComparisonAlternatives

Overview

kubernetes-deploy
kubernetes-deploy
Stacks11
Followers61
Votes0
containerd
containerd
Stacks81
Followers140
Votes5

containerd vs kubernetes-deploy: What are the differences?

  1. Installation and Purpose: containerd is primarily a container runtime that manages the container lifecycle, while kubernetes-deploy is a tool specifically designed for deploying applications using Kubernetes.
  2. Management of Resources: Containerd focuses on low-level container operations and does not provide advanced resource management features like scheduling and scaling, which are core functionalities of Kubernetes.
  3. High-Level Abstraction: Kubernetes-deploy abstracts away the complexities of managing Kubernetes resources, making it easier for developers to deploy applications, whereas containerd requires more manual configuration and control over container operations.
  4. Community Support and Ecosystem: Kubernetes-deploy is part of the broader Kubernetes ecosystem with strong community support, integration with other tools, and a rich set of features, while containerd is more focused on container execution than deployment workflows.
  5. Scalability: Kubernetes-deploy is designed to orchestrate deployments at scale across a cluster of nodes, handling load balancing, auto-scaling, and self-healing mechanisms efficiently, which is not a primary focus of containerd.
  6. Portability and Compatibility: containerd can be used with various container runtimes like Docker, containerd-shim, and CRI-O, while kubernetes-deploy is tightly integrated with Kubernetes and utilizes its APIs for deployment tasks.

In Summary, containerd and kubernetes-deploy differ in their focus on container management versus application deployment, resource management capabilities, abstraction level, community support, scalability, and compatibility with various container runtimes.

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Detailed Comparison

kubernetes-deploy
kubernetes-deploy
containerd
containerd

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.

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

-
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
11
Stacks
81
Followers
61
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
Ruby
Ruby
No integrations available

What are some alternatives to kubernetes-deploy, 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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