Cloudify vs Kubernetes

Overview

Cloudify

Stacks15

Followers19

Votes0

Kubernetes

Stacks61.2K

Followers52.8K

Votes685

Cloudify vs Kubernetes: What are the differences?

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.
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.
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.
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.
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.
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.

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Advice on Cloudify, Kubernetes

Simon

Senior Fullstack Developer at QUANTUSflow Software GmbH

Apr 27, 2020

Decidedon

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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.

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Detailed Comparison

Cloudify	Kubernetes
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.	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.
Deployment Automation; Post-Deployment Automation; Application Monitoring; Scaling; Multi-Cloud Interoperability; Deployment Monitoring; Elastic Caching	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
Statistics
Stacks 15	Stacks 61.2K
Followers 19	Followers 52.8K
Votes 0	Votes 685
Pros & Cons
No community feedback yet	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
Integrations
Jenkins Terraform AWS CloudFormation	Vagrant Docker Rackspace Cloud Servers Microsoft Azure Google Compute Engine Ansible Google Kubernetes Engine

What are some alternatives to Cloudify, Kubernetes?

Heroku

Heroku is a cloud application platform – a new way of building and deploying web apps. Heroku lets app developers spend 100% of their time on their application code, not managing servers, deployment, ongoing operations, or scaling.

Clever Cloud

Clever Cloud is a polyglot cloud application platform. The service helps developers to build applications with many languages and services, with auto-scaling features and a true pay-as-you-go pricing model.

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.

Google App Engine

Google has a reputation for highly reliable, high performance infrastructure. With App Engine you can take advantage of the 10 years of knowledge Google has in running massively scalable, performance driven systems. App Engine applications are easy to build, easy to maintain, and easy to scale as your traffic and data storage needs grow.

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.

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

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.

AWS Elastic Beanstalk

Once you upload your application, Elastic Beanstalk automatically handles the deployment details of capacity provisioning, load balancing, auto-scaling, and application health monitoring.

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.

Render

Render is a unified platform to build and run all your apps and websites with free SSL, a global CDN, private networks and auto deploys from Git.

Related Comparisons

Cloudify vs Kubernetes: What are the differences?

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.
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.
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.
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.
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.
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.

Cloudify vs Kubernetes

Overview