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Cloudify vs Kubernetes: What are the differences?

  1. Architecture: Cloudify is an orchestration tool that focuses on managing the entire application stack, including infrastructure, networking, and applications. It provides a more holistic approach to application deployment and management. On the other hand, Kubernetes is a container orchestration tool that primarily focuses on managing and scaling containerized applications. It provides features such as automated deployment, scaling, and management of containers.

  2. Scope: Cloudify is designed to be more versatile and can work with various cloud providers, virtual machines, and container platforms. It can orchestrate resources in different environments using its plugins and blueprints. In contrast, Kubernetes is more focused on container orchestration and is more tightly integrated with container runtimes like Docker and container engines like containerd.

  3. Flexibility: Cloudify offers more flexibility in terms of the types of workloads it can manage. It supports not only containers but also virtual machines, cloud resources, and even bare-metal servers. This flexibility makes it suitable for managing hybrid environments. On the other hand, Kubernetes is specifically designed for containerized workloads and may not be as versatile in managing non-container resources.

  4. Management Complexity: Cloudify is known for its powerful but complex management capabilities. It allows for detailed customization of workflows and policies, making it suitable for complex enterprise environments. However, this complexity can also make it challenging to set up and manage. Kubernetes, on the other hand, has a more streamlined and standardized approach to container orchestration, making it easier to deploy and manage containerized applications.

  5. Scalability: Both Cloudify and Kubernetes are capable of scaling applications to meet changing demands. However, Kubernetes is known for its robust scaling capabilities, including features like auto-scaling based on resource usage metrics. It can automatically adjust the number of running containers to handle increased or decreased load. Cloudify also supports scalability but may require more manual configuration and setup compared to Kubernetes.

  6. Community Support: Kubernetes has a larger and more active community compared to Cloudify. This means more resources, plugins, and support available for Kubernetes users. The vast community of Kubernetes users and contributors ensures rapid development, bug fixes, and a rich ecosystem of tools and integrations. Cloudify, while having a dedicated user base, may not offer the same level of community support and resources as Kubernetes.

In Summary, Cloudify and Kubernetes differ in architecture, scope, flexibility, management complexity, scalability, and community support, catering to various needs in container orchestration and cloud management.

Decisions about Cloudify and Kubernetes
Simon Reymann
Senior Fullstack Developer at QUANTUSflow Software GmbH · | 30 upvotes · 8.9M 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 Cloudify
Pros of Kubernetes
    Be the first to leave a pro
    • 164
      Leading docker container management solution
    • 128
      Simple and powerful
    • 106
      Open source
    • 76
      Backed by google
    • 58
      The right abstractions
    • 25
      Scale services
    • 20
      Replication controller
    • 11
      Permission managment
    • 9
      Supports autoscaling
    • 8
      Cheap
    • 8
      Simple
    • 6
      Self-healing
    • 5
      No cloud platform lock-in
    • 5
      Promotes modern/good infrascture practice
    • 5
      Open, powerful, stable
    • 5
      Reliable
    • 4
      Scalable
    • 4
      Quick cloud setup
    • 3
      Cloud Agnostic
    • 3
      Captain of Container Ship
    • 3
      A self healing environment with rich metadata
    • 3
      Runs on azure
    • 3
      Backed by Red Hat
    • 3
      Custom and extensibility
    • 2
      Sfg
    • 2
      Gke
    • 2
      Everything of CaaS
    • 2
      Golang
    • 2
      Easy setup
    • 2
      Expandable

    Sign up to add or upvote prosMake informed product decisions

    Cons of Cloudify
    Cons of Kubernetes
      Be the first to leave a con
      • 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

      Sign up to add or upvote consMake informed product decisions

      What is Cloudify?

      Orchestrate real apps on the cloud with Cloudify, an open source application management framework that allows users to manage even the most complex apps by automating their DevOps processes.

      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.

      Need advice about which tool to choose?Ask the StackShare community!

      What companies use Cloudify?
      What companies use Kubernetes?
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        What tools integrate with Kubernetes?

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        What are some alternatives to Cloudify and Kubernetes?
        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.
        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.
        Ansible
        Ansible is an IT automation tool. It can configure systems, deploy software, and orchestrate more advanced IT tasks such as continuous deployments or zero downtime rolling updates. Ansible’s goals are foremost those of simplicity and maximum ease of use.
        Cloud Foundry
        Cloud Foundry is an open platform as a service (PaaS) that provides a choice of clouds, developer frameworks, and application services. Cloud Foundry makes it faster and easier to build, test, deploy, and scale applications.
        Terraform
        With Terraform, you describe your complete infrastructure as code, even as it spans multiple service providers. Your servers may come from AWS, your DNS may come from CloudFlare, and your database may come from Heroku. Terraform will build all these resources across all these providers in parallel.
        See all alternatives