Apache CloudStack vs Kubernetes

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Apache CloudStack

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Apache CloudStack vs Kubernetes: What are the differences?

Introduction

Apache CloudStack and Kubernetes are both powerful open-source platforms used for managing and orchestrating containerized applications. While they share some similarities, there are key differences that make them suitable for different use cases.

  1. Architecture:

Apache CloudStack is primarily a cloud management platform that focuses on providing infrastructure as a service (IaaS) capabilities. It enables the management of virtual machines, networks, and storage resources in a cloud environment. On the other hand, Kubernetes is a container orchestration platform that focuses on automating the deployment, scaling, and management of containers. It provides a more lightweight and container-centric architecture.

  1. Containerization Approach:

In Apache CloudStack, virtual machines are used as the fundamental units of execution. Applications are run within these virtual machines, which provide isolation and flexibility but come with a higher resource overhead. In contrast, Kubernetes uses containerization technology, such as Docker, to encapsulate applications and their dependencies into lightweight, portable containers. This approach allows for more efficient resource utilization and faster application deployment.

  1. Scalability:

Apache CloudStack is designed to scale horizontally, allowing users to add more physical resources, such as servers, to meet increasing demand. It provides features like load balancing and auto-scaling to ensure optimal resource utilization. On the other hand, Kubernetes is designed to scale both horizontally and vertically. It can automatically scale the number of container replicas based on load but can also scale individual containers by adjusting their resource limits dynamically.

  1. Application Portability:

Apache CloudStack provides a platform for running virtual machines and managing cloud resources. It supports a wide range of operating systems and applications, making it suitable for running diverse workloads. However, due to the nature of virtual machines, there can be some challenges in migrating applications between different CloudStack deployments. Kubernetes, on the other hand, focuses on container-based application portability. Containers are lightweight and can be easily moved between different Kubernetes clusters, providing greater flexibility for deploying applications across different environments.

  1. Networking and Storage:

Apache CloudStack provides built-in networking and storage capabilities, allowing users to create virtual networks and attach virtual storage volumes to virtual machines. It supports various networking modes, including bridged, isolated, and shared modes. Kubernetes, on the other hand, does not provide built-in networking and storage solutions. It relies on plugins and integrations with external networking and storage providers to provide these capabilities. This allows users to choose and customize their networking and storage solutions based on their specific requirements.

  1. Community and Ecosystem:

Apache CloudStack has been around since 2010 and has a well-established user and developer community. It has a robust ecosystem of infrastructure providers, virtual machine image catalogs, and third-party integrations. Kubernetes, on the other hand, has gained significant traction in recent years and has a rapidly growing community and ecosystem. It is backed by major technology companies and has a wide range of tools, plugins, and integrations available.

In Summary, Apache CloudStack is a cloud management platform that focuses on providing infrastructure as a service capabilities through virtual machines, while Kubernetes is a container orchestration platform that focuses on automating the deployment and management of containerized applications. They differ in architecture, containerization approach, scalability, application portability, networking and storage options, and community and ecosystem support.

Decisions about Apache CloudStack and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 11.6M views

Our whole DevOps stack consists of the following tools:

  • GitHub (incl. GitHub Pages/Markdown for Documentation, GettingStarted and HowTo's) for collaborative review and code management tool
  • Respectively Git as revision control system
  • SourceTree as Git GUI
  • Visual Studio Code as IDE
  • CircleCI for continuous integration (automatize development process)
  • Prettier / TSLint / ESLint as code linter
  • SonarQube as quality gate
  • Docker as container management (incl. Docker Compose for multi-container application management)
  • VirtualBox for operating system simulation tests
  • Kubernetes as cluster management for docker containers
  • Heroku for deploying in test environments
  • nginx as web server (preferably used as facade server in production environment)
  • SSLMate (using OpenSSL) for certificate management
  • Amazon EC2 (incl. Amazon S3) for deploying in stage (production-like) and production environments
  • PostgreSQL as preferred database system
  • Redis 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.
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Pros of Apache CloudStack
Pros of Kubernetes
  • 15
    Apache CloudStack works
  • 13
    Multi hypervisor
  • 10
    Easy setup
  • 9
    Real open source software
  • 9
    Open architecture
  • 8
    Hybrid Cloud integration
  • 8
    Community support
  • 7
    Secure
  • 7
    Simple
  • 5
    Scalable
  • 2
    Easy to use API
  • 1
    Terraform Support
  • 1
    Kubernetes Support
  • 166
    Leading docker container management solution
  • 129
    Simple and powerful
  • 107
    Open source
  • 76
    Backed by google
  • 58
    The right abstractions
  • 25
    Scale services
  • 20
    Replication controller
  • 11
    Permission managment
  • 9
    Supports autoscaling
  • 8
    Simple
  • 8
    Cheap
  • 6
    Self-healing
  • 5
    Open, powerful, stable
  • 5
    Reliable
  • 5
    No cloud platform lock-in
  • 5
    Promotes modern/good infrascture practice
  • 4
    Scalable
  • 4
    Quick cloud setup
  • 3
    Custom and extensibility
  • 3
    Captain of Container Ship
  • 3
    Cloud Agnostic
  • 3
    Backed by Red Hat
  • 3
    Runs on azure
  • 3
    A self healing environment with rich metadata
  • 2
    Everything of CaaS
  • 2
    Gke
  • 2
    Golang
  • 2
    Easy setup
  • 2
    Expandable
  • 2
    Sfg

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Cons of Apache CloudStack
Cons of Kubernetes
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    • 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
    • 1
      Additional vendor lock-in (Docker)
    • 1
      More moving parts to secure
    • 1
      Additional Technology Overhead

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    - No public GitHub repository available -

    What is Apache CloudStack?

    CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.

    What is 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.

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    What companies use Apache CloudStack?
    What companies use Kubernetes?
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    What tools integrate with Apache CloudStack?
    What tools integrate with Kubernetes?

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    What are some alternatives to Apache CloudStack and Kubernetes?
    OpenStack
    OpenStack is a cloud operating system that controls large pools of compute, storage, and networking resources throughout a datacenter, all managed through a dashboard that gives administrators control while empowering their users to provision resources through a web interface.
    OpenNebula
    It provides a simple but feature-rich and flexible solution for the comprehensive management of virtualized data centers to enable on-premise enterprise clouds in existing infrastructures. It can be primarily used as a virtualization tool to manage your virtual infrastructure in the data-center or cluster, which is usually referred as Private Cloud. It supports Hybrid Cloud to combine local infrastructure with public cloud-based infrastructure, enabling highly scalable hosting environments.
    Git
    Git is a free and open source distributed version control system designed to handle everything from small to very large projects with speed and efficiency.
    GitHub
    GitHub is the best place to share code with friends, co-workers, classmates, and complete strangers. Over three million people use GitHub to build amazing things together.
    Visual Studio Code
    Build and debug modern web and cloud applications. Code is free and available on your favorite platform - Linux, Mac OSX, and Windows.
    See all alternatives