Docker Cloud vs Kubernetes

Overview

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Docker Cloud

Stacks78

Followers127

Votes11

Docker Cloud vs Kubernetes: What are the differences?

Differences between Docker Cloud and Kubernetes

Introduction: Docker Cloud and Kubernetes are both popular container orchestration platforms that help in managing and deploying containerized applications. However, there are key differences between the two platforms that set them apart.

Scalability: Docker Cloud is suitable for small to medium-sized deployments, whereas Kubernetes is designed for large-scale and enterprise-level deployments. Kubernetes can handle more complex workload management and scaling requirements, making it a better choice for high-demand applications.
Containerization Standards: Docker Cloud is built specifically for Docker containers and supports containerization standards based on Docker technology. In contrast, Kubernetes is container-agnostic and can work with different containerization technologies, including Docker, rkt, and others. This flexibility allows Kubernetes to support a wider range of container runtimes and gives users more choices.
Management approach: Docker Cloud provides a simpler and more user-friendly management interface, making it easier for users to get started with container deployment and management. On the other hand, Kubernetes has a more complex management structure with a set of powerful features that allow for fine-grained control and customization. This makes Kubernetes more suitable for advanced users who require more control and flexibility in their deployments.
Orchestration Features: Kubernetes offers a comprehensive set of built-in orchestration features, such as automatic scaling, load balancing, service discovery, and self-healing. Docker Cloud, while it provides some basic orchestration capabilities, does not offer the same level of built-in features as Kubernetes. Users of Docker Cloud may need to use additional tools or integrate with other platforms to achieve the same level of orchestration functionality.
Community Support: Kubernetes has a larger and more active community compared to Docker Cloud. This means that there are more resources, documentation, and community-driven projects available for Kubernetes. The vibrant community makes it easier to find help, share knowledge, and stay up-to-date on the latest developments in the Kubernetes ecosystem.
Ecosystem and Integration: Docker Cloud integrates seamlessly with other Docker tools and services, such as Docker Swarm, Docker Machine, and Docker Compose. This tight integration provides a more cohesive Docker experience and makes it easier to manage the entire container stack. On the other hand, Kubernetes has a broader ecosystem and integrates well with various cloud providers, storage solutions, monitoring tools, and more. This allows users to build more complex and versatile deployments using Kubernetes.

In Summary, Docker Cloud is suitable for smaller deployments and offers a simpler management interface, while Kubernetes is designed for larger-scale deployments, provides advanced orchestration features, has a larger community, and offers better ecosystem integration options.

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Advice on Kubernetes, Docker Cloud

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

GitHub

GitHub Pages

Markdown

Our whole DevOps stack consists of the following tools:

@{GitHub}|tool:27| (incl. @{GitHub Pages}|tool:683|/@{Markdown}|tool:1147| for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
Respectively @{Git}|tool:1046| as revision control system
@{SourceTree}|tool:1599| as @{Git}|tool:1046| GUI
@{Visual Studio Code}|tool:4202| as IDE
@{CircleCI}|tool:190| for continuous integration (automatize development process)
@{Prettier}|tool:7035| / @{TSLint}|tool:5561| / @{ESLint}|tool:3337| as code linter
@{SonarQube}|tool:2638| as quality gate
@{Docker}|tool:586| as container management (incl. @{Docker Compose}|tool:3136| for multi-container application management)
@{VirtualBox}|tool:774| for operating system simulation tests
@{Kubernetes}|tool:1885| as cluster management for docker containers
@{Heroku}|tool:133| for deploying in test environments
@{nginx}|tool:1052| as web server (preferably used as facade server in production environment)
@{SSLMate}|tool:2752| (using @{OpenSSL}|tool:3091|) for certificate management
@{Amazon EC2}|tool:18| (incl. @{Amazon S3}|tool:25|) for deploying in stage (production-like) and production environments
@{PostgreSQL}|tool:1028| as preferred database system
@{Redis}|tool:1031| as preferred in-memory database/store (great for caching)

The main reason we have chosen Kubernetes over Docker Swarm is related to the following artifacts:

Key features: Easy and flexible installation, Clear dashboard, Great scaling operations, Monitoring is an integral part, Great load balancing concepts, Monitors the condition and ensures compensation in the event of failure.
Applications: An application can be deployed using a combination of pods, deployments, and services (or micro-services).
Functionality: Kubernetes as a complex installation and setup process, but it not as limited as Docker Swarm.
Monitoring: It supports multiple versions of logging and monitoring when the services are deployed within the cluster (Elasticsearch/Kibana (ELK), Heapster/Grafana, Sysdig cloud integration).
Scalability: All-in-one framework for distributed systems.
Other Benefits: Kubernetes is backed by the Cloud Native Computing Foundation (CNCF), huge community among container orchestration tools, it is an open source and modular tool that works with any OS.

12.8M views12.8M

Comments

Anis

Founder at Odix

Nov 7, 2020

Review

I recommend this : -Spring reactive for back end : the fact it's reactive (async) it consumes half of the resources that a sync platform needs (so less CPU -> less money). -Angular : Web Front end ; it's gives you the possibility to use PWA which is a cheap replacement for a mobile app (but more less popular). -Docker images. -Kubernetes to orchestrate all the containers. -I Use Jenkins / blueocean, ansible for my CI/CD (with Github of course) -AWS of course : u can run a K8S cluster there, make it multi AZ (availability zones) to be highly available, use a load balancer and an auto scaler and ur good to go. -You can store data by taking any managed DB or u can deploy ur own (cheap but risky).

You pay less money, but u need some technical 2 - 3 guys to make that done.

Good luck

115k views115k

Comments

Detailed Comparison

Kubernetes	Docker Cloud
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.	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.
Lightweight, simple and accessible;Built for a multi-cloud world, public, private or hybrid;Highly modular, designed so that all of its components are easily swappable	Simplify Docker Provisioning;Deploy Apps Anywhere;Automate Your Developer Workflows;Manage Apps Anywhere
Statistics
Stacks 61.2K	Stacks 78
Followers 52.8K	Followers 127
Votes 685	Votes 11
Pros & Cons
Pros 166 Leading docker container management solution 130 Simple and powerful 108 Open source 76 Backed by google 58 The right abstractions Cons 16 Steep learning curve 15 Poor workflow for development 8 Orchestrates only infrastructure 4 High resource requirements for on-prem clusters 2 Too heavy for simple systems	Pros 9 Easy to use 2 Seamless transition from docker compose
Integrations
Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine	Docker

What are some alternatives to Kubernetes, Docker Cloud?

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

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.

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.

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 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

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.

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.

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.

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.

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.

Related Comparisons

Docker Cloud vs Kubernetes: What are the differences?

Differences between Docker Cloud and Kubernetes

Scalability: Docker Cloud is suitable for small to medium-sized deployments, whereas Kubernetes is designed for large-scale and enterprise-level deployments. Kubernetes can handle more complex workload management and scaling requirements, making it a better choice for high-demand applications.
Containerization Standards: Docker Cloud is built specifically for Docker containers and supports containerization standards based on Docker technology. In contrast, Kubernetes is container-agnostic and can work with different containerization technologies, including Docker, rkt, and others. This flexibility allows Kubernetes to support a wider range of container runtimes and gives users more choices.
Management approach: Docker Cloud provides a simpler and more user-friendly management interface, making it easier for users to get started with container deployment and management. On the other hand, Kubernetes has a more complex management structure with a set of powerful features that allow for fine-grained control and customization. This makes Kubernetes more suitable for advanced users who require more control and flexibility in their deployments.
Orchestration Features: Kubernetes offers a comprehensive set of built-in orchestration features, such as automatic scaling, load balancing, service discovery, and self-healing. Docker Cloud, while it provides some basic orchestration capabilities, does not offer the same level of built-in features as Kubernetes. Users of Docker Cloud may need to use additional tools or integrate with other platforms to achieve the same level of orchestration functionality.
Community Support: Kubernetes has a larger and more active community compared to Docker Cloud. This means that there are more resources, documentation, and community-driven projects available for Kubernetes. The vibrant community makes it easier to find help, share knowledge, and stay up-to-date on the latest developments in the Kubernetes ecosystem.
Ecosystem and Integration: Docker Cloud integrates seamlessly with other Docker tools and services, such as Docker Swarm, Docker Machine, and Docker Compose. This tight integration provides a more cohesive Docker experience and makes it easier to manage the entire container stack. On the other hand, Kubernetes has a broader ecosystem and integrates well with various cloud providers, storage solutions, monitoring tools, and more. This allows users to build more complex and versatile deployments using Kubernetes.

Docker Cloud vs Kubernetes

Overview

Docker Cloud vs Kubernetes: What are the differences?