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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.
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.
Pros of Cloudify
Pros of Kubernetes
- Leading docker container management solution166
- Simple and powerful130
- Open source108
- Backed by google76
- The right abstractions58
- Scale services26
- Replication controller20
- Permission managment11
- Supports autoscaling9
- Cheap8
- Simple8
- Self-healing7
- Open, powerful, stable5
- Promotes modern/good infrascture practice5
- Reliable5
- No cloud platform lock-in5
- Scalable4
- Quick cloud setup4
- Cloud Agnostic3
- Custom and extensibility3
- A self healing environment with rich metadata3
- Captain of Container Ship3
- Backed by Red Hat3
- Runs on azure3
- Expandable2
- Sfg2
- Everything of CaaS2
- Gke2
- Golang2
- Easy setup2
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Cons of Cloudify
Cons of Kubernetes
- Steep learning curve16
- Poor workflow for development15
- Orchestrates only infrastructure8
- High resource requirements for on-prem clusters4
- Too heavy for simple systems2
- Additional vendor lock-in (Docker)1
- More moving parts to secure1
- Additional Technology Overhead1