Google Kubernetes Engine vs Hyper

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Google Kubernetes Engine

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Google Kubernetes Engine vs Hyper: What are the differences?

Google Kubernetes Engine: Deploy, manage, and scale containerized applications on Kubernetes, powered by Google Cloud. Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management; Hyper: On-Demand Container, Per-Second Billing. Hyper.sh is a secure container hosting service. What makes it different from AWS (Amazon Web Services) is that you don't start servers, but start docker images directly from Docker Hub or other registries.

Google Kubernetes Engine and Hyper can be categorized as "Containers as a Service" tools.

Some of the features offered by Google Kubernetes Engine are:

  • Docker support - Improve the predictability of your deployments with Docker containers. Containers make it easy to deploy applications across environments.
  • Better ops - Give ops a better system, starting with a managed compute cluster. Container Engine takes care of provisioning and maintaining the underlying virtual machines and operational logistics like logging, monitoring, and health management.
  • Declarative management - Use declarative syntax to define your application requirements. Container Engine will actively manage your application, ensuring your containers are running and scheduling additional as needed.

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

  • Hyper is able to launch instances in sub-second. Also, Hyper requires the minimal resource footprint: ~12MB mem
  • Hyper is immune from the "shared kernel" problem in container
  • Hyper is hypervisor agnostic
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Pros of Google Kubernetes Engine
Pros of Hyper
  • 17
    Backed by Google
  • 17
    Powered by kubernetes
  • 12
    Docker
  • 11
    Scalable
  • 6
    Open source
  • 2
    Command line interface is intuitive
  • 2
    Decoupled app
  • 1
    Provisioning
  • 1
    Declarative management
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    What is Google Kubernetes Engine?

    Container Engine takes care of provisioning and maintaining the underlying virtual machine cluster, scaling your application, and operational logistics like logging, monitoring, and health management.

    What is Hyper?

    Hyper.sh is a secure container hosting service. What makes it different from AWS (Amazon Web Services) is that you don't start servers, but start docker images directly from Docker Hub or other registries.

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    What tools integrate with Google Kubernetes Engine?
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    What are some alternatives to Google Kubernetes Engine and Hyper?
    Google App Engine
    Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.
    Red Hat OpenShift
    OpenShift is Red Hat's Cloud Computing Platform as a Service (PaaS) offering. OpenShift is an application platform in the cloud where application developers and teams can build, test, deploy, and run their applications.
    Google Compute Engine
    Google Compute Engine is a service that provides virtual machines that run on Google infrastructure. Google Compute Engine offers scale, performance, and value that allows you to easily launch large compute clusters on Google's infrastructure. There are no upfront investments and you can run up to thousands of virtual CPUs on a system that has been designed from the ground up to be fast, and to offer strong consistency of performance.
    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.
    JavaScript
    JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
    See all alternatives