Azure Kubernetes Service vs ContainerShip
Overview
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Detailed Comparison
ContainerShip is an open source hosting platform that makes it simple to build, scale and manage containerized web infrastructure. It supports applications with persistent data needs, has built in disaster recovery, and lets you move between clouds with a click. | Deploy and manage containerized applications more easily with a fully managed Kubernetes service. It offers serverless Kubernetes, an integrated continuous integration and continuous delivery (CI/CD) experience, and enterprise-grade security and governance. Unite your development and operations teams on a single platform to rapidly build, deliver, and scale applications with confidence. |
Orchestration;Service Discovery;Internal DNS;Load Balancing;High Availabilty;Cross-Host Linking;Automatic Recovery;Push-Button Scaling;Plugin System;Persistent Data Management;Move your databases between servers;DockerHub Integration;Integrated WebUI;Command Line Interface;API;Runs anywhere Docker runs | Deploy and manage Kubernetes with ease; Scale and run applications with confidence; Secure your Kubernetes environment; Accelerate containerized application development; Work how you want with open-source tools and APIs; Set up CI/CD in a few clicks |
Statistics | |
GitHub Stars 241 | GitHub Stars - |
GitHub Forks 32 | GitHub Forks - |
Stacks 9 | Stacks 386 |
Followers 26 | Followers 351 |
Votes 0 | Votes 0 |
Integrations | |
What are some alternatives to ContainerShip, Azure Kubernetes Service?
Amazon EC2 Container Service
Amazon EC2 Container Service lets you launch and stop container-enabled applications with simple API calls, allows you to query the state of your cluster from a centralized service, and gives you access to many familiar Amazon EC2 features like security groups, EBS volumes and IAM roles.
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.
Containerum
Containerum is built to aid cluster management, teamwork and resource allocation. Containerum runs on top of any Kubernetes cluster and provides a friendly Web UI for cluster management.
Azure Container Service
Azure Container Service optimizes the configuration of popular open source tools and technologies specifically for Azure. You get an open solution that offers portability for both your containers and your application configuration. You select the size, the number of hosts, and choice of orchestrator tools, and Container Service handles everything else.
Docker Cloud
Docker Cloud is the best way to deploy and manage Dockerized applications. Docker Cloud makes it easy for new Docker users to manage and deploy the full spectrum of applications, from single container apps to distributed microservices stacks, to any cloud or on-premises infrastructure.
Amazon EKS
Amazon Elastic Container Service for Kubernetes (Amazon EKS) is a managed service that makes it easy for you to run Kubernetes on AWS without needing to install and operate your own Kubernetes clusters.
instainer
InstaDocker is a Docker container hosting service which allows run any Docker container on the cloud instantly.
Docker Datacenter
Docker Datacenter is an integrated solution including open source and commercial software, the integrations between them, full Docker API support, validated configurations and commercial support for your Docker Datacenter environment.
DCHQ
DCHQ delivers enterprise discipline to Linux Containers application lifecycle management. Available in hosted and on-prem versions, DCHQ provides the most advanced application composition framework extending Docker Compose through environment variable bindings across images, BASH script plug-ins that can be invoked at request time and post-provision and support for clustering for high availability across multiple hosts and auto-scaling.
Supergiant
Supergiant is a container management platform built on top of Kubernetes. Supergiant makes it easy to deploy and manage faster, and it reduces hardware expenses. Packing algorithm efficiently matches your overall CPU and RAM needs.
