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  1. Stackups
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  3. Container Registry
  4. Container Tools
  5. HyScale vs containerd

HyScale vs containerd

OverviewComparisonAlternatives

Overview

containerd
containerd
Stacks81
Followers140
Votes5
HyScale
HyScale
Stacks5
Followers10
Votes11
GitHub Stars446
Forks42

HyScale vs containerd: What are the differences?

HyScale: An abstraction framework over Kubernetes. It is an Application Centric Abstraction Framework over K8s. It takes a simple, short Declarative definition of your service config, given the config it generates Dockerfile, Container Image, Kubernetes Manifests (YAMLs) and deploys to any Kubernetes Cluster returning back the app URL. Also it abstracts & simplifies Deployment Troubleshooting and Runtime Ops; containerd: An industry-standard container runtime with an emphasis on simplicity,robustness and portability. An industry-standard container runtime with an emphasis on simplicity, robustness, and portability.

HyScale and containerd belong to "Container Tools" category of the tech stack.

Some of the features offered by HyScale are:

  • App-centric approach
  • DevOps on autopilot
  • Simplified troubleshooting

On the other hand, containerd provides the following key features:

  • OCI Image Spec support
  • OCI Runtime Spec support (aka runC)
  • Image push and pull support

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Detailed Comparison

containerd
containerd
HyScale
HyScale

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

HyScale's core offering is an open-source piece that provides an abstraction over Kubernetes and automatically generates various deployment artifacts, thereby reducing tedious manual effort and speeding up release cycles.

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
kubernetes abstraction; App-centric approach; DevOps on autopilot; Simplified troubleshooting; automatic kubernetes manifests generation;
Statistics
GitHub Stars
-
GitHub Stars
446
GitHub Forks
-
GitHub Forks
42
Stacks
81
Stacks
5
Followers
140
Followers
10
Votes
5
Votes
11
Pros & Cons
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
Pros
  • 3
    Open source
  • 3
    Simplified Kubernetes troubleshooting
  • 2
    Abstraction framework over K8s
  • 1
    Kubernetes deployment
  • 1
    Hybrid Cloud deployment
Integrations
No integrations available
Kubernetes
Kubernetes
Jenkins
Jenkins
Red Hat OpenShift
Red Hat OpenShift
Google Kubernetes Engine
Google Kubernetes Engine
Amazon EKS
Amazon EKS

What are some alternatives to containerd, HyScale?

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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