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  1. Stackups
  2. Application & Data
  3. Container Registry
  4. Container Tools
  5. DevSpace Cloud vs Kubernetes

DevSpace Cloud vs Kubernetes

OverviewDecisionsComparisonAlternatives

Overview

Kubernetes
Kubernetes
Stacks61.2K
Followers52.8K
Votes685
DevSpace Cloud
DevSpace Cloud
Stacks2
Followers6
Votes0
GitHub Stars111
Forks15

DevSpace Cloud vs Kubernetes: What are the differences?

Introduction

When it comes to container orchestration and management, two popular tools that often come up in discussions are DevSpace Cloud and Kubernetes. While both share similarities in managing containerized applications, there are key differences between the two that make each suitable for different use cases.

  1. Managed vs. Self-Managed: One of the main differences between DevSpace Cloud and Kubernetes is the level of management they offer. DevSpace Cloud is a managed solution where much of the infrastructure and maintenance tasks are handled by the service provider, allowing users to focus more on deploying and managing applications. On the other hand, Kubernetes is a self-managed platform where users have more control over their infrastructure but also need to take care of maintenance, upgrades, and scaling on their own.

  2. Integration of Developer Tools: DevSpace Cloud focuses on streamlining the developer experience by tightly integrating developer tools like IDEs, CI/CD pipelines, and collaboration tools into the platform. This can help developers work more efficiently by providing a seamless workflow from code development to deployment. In contrast, Kubernetes primarily focuses on managing containerized applications and infrastructure, with less emphasis on developer tools integration out of the box.

  3. Pricing Model: DevSpace Cloud typically operates on a subscription or pay-as-you-go model, where users pay for the resources and services they consume. This can be advantageous for teams or organizations looking for predictable pricing and ease of budgeting. Kubernetes, on the other hand, is open-source and can be deployed in various environments, leading to more flexibility in terms of cost but also requiring more resources and expertise for management.

  4. Ease of Use: DevSpace Cloud is designed to simplify the deployment and management of containerized applications, making it easier for developers to get started with managing their applications in the cloud. The platform provides a user-friendly interface and abstracts away much of the complexity of Kubernetes, allowing developers to focus on building and deploying their applications quickly. In contrast, Kubernetes has a steeper learning curve and may require more expertise to set up and manage effectively.

  5. Scalability and Performance: While both DevSpace Cloud and Kubernetes are designed to scale applications horizontally and handle high workloads, Kubernetes offers more flexibility and control in terms of configuring and optimizing performance at a granular level. This can be beneficial for applications with specific performance requirements or complex architectures that need fine-tuning for optimal efficiency.

  6. Community Ecosystem: Kubernetes has a large and active community that contributes to the development and improvement of the platform, as well as provides support, resources, and a rich ecosystem of tools and plugins. This can be advantageous for organizations looking for a wide range of solutions and integrations for their container orchestration needs. DevSpace Cloud, being a newer platform, may have a smaller community and ecosystem in comparison, which can impact the availability of resources and support.

In Summary, DevSpace Cloud offers a managed, developer-focused solution with integrated tools, whereas Kubernetes provides a more flexible, self-managed platform with a strong community and ecosystem around it.

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Advice on Kubernetes, DevSpace Cloud

Simon
Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

DecidedonGitHubGitHubGitHub PagesGitHub PagesMarkdownMarkdown

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

Detailed Comparison

Kubernetes
Kubernetes
DevSpace Cloud
DevSpace 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.

It lets IT teams create an internal Kubernetes offering that enables their developer teams to create isolated namespaces in shared development clusters. The goal is to allow engineers to get access to Kubernetes in a self-service fashion. It restricts developers to their own namespaces allowing secure cluster sharing while handling all the admistrative overhead such as the management of the kube-context on an engineers machine.

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
Strict Namespace Isolation and Secure Multi-Tenancy; Admin UI for Managing Users & Permissions; Optimized for Self-Service & Great Developer Experience; Cost Reduction via Automatic Sleep Mode for Namespaces; Optimized for Professional IT and Dev Teams
Statistics
GitHub Stars
-
GitHub Stars
111
GitHub Forks
-
GitHub Forks
15
Stacks
61.2K
Stacks
2
Followers
52.8K
Followers
6
Votes
685
Votes
0
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
No community feedback yet
Integrations
Vagrant
Vagrant
Docker
Docker
Rackspace Cloud Servers
Rackspace Cloud Servers
Microsoft Azure
Microsoft Azure
Google Compute Engine
Google Compute Engine
Ansible
Ansible
Google Kubernetes Engine
Google Kubernetes Engine
DigitalOcean
DigitalOcean
Amazon EKS
Amazon EKS
Rancher
Rancher

What are some alternatives to Kubernetes, DevSpace Cloud?

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.

Kitematic

Kitematic

Simple Docker App management for Mac OS X

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