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  1. Stackups
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  4. Container Tools
  5. HyScale vs Kopf

HyScale vs Kopf

OverviewComparisonAlternatives

Overview

HyScale
HyScale
Stacks5
Followers10
Votes11
GitHub Stars446
Forks42
Kopf
Kopf
Stacks2
Followers3
Votes0
GitHub Stars2.5K
Forks180

Kopf vs HyScale: What are the differences?

Kopf: A Python framework to write Kubernetes operators in just a few lines of code. It is a framework and a library to make Kubernetes operators development easier, just in a few lines of Python code The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).; 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.

Kopf and HyScale can be categorized as "Container" tools.

Some of the features offered by Kopf are:

  • Simple, but powerful
  • Intuitive mapping of Python concepts to Kubernetes concepts and back
  • Support anything that exists in K8s

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

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

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Detailed Comparison

HyScale
HyScale
Kopf
Kopf

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.

It is a framework and a library to make Kubernetes operators development easier, just in a few lines of Python code. The main goal is to bring the Domain-Driven Design to the infrastructure level, with Kubernetes being an orchestrator/database of the domain objects (custom resources), and the operators containing the domain logic (with no or minimal infrastructure logic).

kubernetes abstraction; App-centric approach; DevOps on autopilot; Simplified troubleshooting; automatic kubernetes manifests generation;
Simple, but powerful; Intuitive mapping of Python concepts to Kubernetes concepts and back; Support anything that exists in K8s; All the ways of handling that a developer can wish for; Eventual consistency of handling; Extra toolkits and integrations
Statistics
GitHub Stars
446
GitHub Stars
2.5K
GitHub Forks
42
GitHub Forks
180
Stacks
5
Stacks
2
Followers
10
Followers
3
Votes
11
Votes
0
Pros & Cons
Pros
  • 3
    Open source
  • 3
    Simplified Kubernetes troubleshooting
  • 2
    Abstraction framework over K8s
  • 1
    K8s deployment
  • 1
    Hybrid Cloud deployment
No community feedback yet
Integrations
Kubernetes
Kubernetes
Jenkins
Jenkins
Red Hat OpenShift
Red Hat OpenShift
Google Kubernetes Engine
Google Kubernetes Engine
Amazon EKS
Amazon EKS
Kubernetes
Kubernetes
Python
Python

What are some alternatives to HyScale, Kopf?

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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