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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. HyScale vs Weave

HyScale vs Weave

OverviewComparisonAlternatives

Overview

Weave
Weave
Stacks50
Followers72
Votes7
HyScale
HyScale
Stacks5
Followers10
Votes11
GitHub Stars446
Forks42

HyScale vs Weave: What are the differences?

What is 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.

What is Weave? Weave creates a virtual network that connects Docker containers deployed across multiple hosts. Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.

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

Some of the features offered by HyScale are:

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

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

  • Virtual Ethernet Switch
  • Application isolation
  • Security

Weave is an open source tool with 5.91K GitHub stars and 588 GitHub forks. Here's a link to Weave's open source repository on GitHub.

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Detailed Comparison

Weave
Weave
HyScale
HyScale

Weave can traverse firewalls and operate in partially connected networks. Traffic can be encrypted, allowing hosts to be connected across an untrusted network. With weave you can easily construct applications consisting of multiple containers, running anywhere.

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.

Virtual Ethernet Switch;Application isolation;Security;Host network integration;Service export;Service import;Multi-cloud networking;Multi-hop routing;Dynamic topologies;Container mobility;Fault tolerance
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
50
Stacks
5
Followers
72
Followers
10
Votes
7
Votes
11
Pros & Cons
Pros
  • 3
    Easy setup
  • 3
    Seamlessly with mesos/marathon
  • 1
    Seamless integration with application layer
Pros
  • 3
    Open source
  • 3
    Simplified Kubernetes troubleshooting
  • 2
    Abstraction framework over K8s
  • 1
    Hybrid Cloud deployment
  • 1
    Kubernetes deployment
Integrations
Docker
Docker
boot2docker
boot2docker
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 Weave, 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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