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Fabric vs Kubernetes: What are the differences?
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Scalability: One key difference between Fabric and Kubernetes is in their scalability approach. Fabric allows for fine-grained control over the network resources, making it more suitable for smaller, more specific requirements. On the other hand, Kubernetes is designed for massive scalability and can efficiently manage large clusters of nodes and containers, making it more suitable for large-scale applications.
Configuration Management: Fabric focuses more on the network implementation and doesn't have built-in features for managing configuration across nodes. Kubernetes, on the other hand, provides robust configuration management capabilities through ConfigMaps and Secrets, making it easier to manage and maintain the configuration of applications running in the cluster.
Resource Orchestration: Kubernetes excels in resource orchestration, ensuring that containers are allocated resources efficiently and effectively. It manages resource utilization, scaling, load balancing, and more, providing a comprehensive orchestration solution. Fabric, while capable of deploying and managing networks efficiently, lacks the advanced resource orchestration features that Kubernetes offers.
Support for Stateful Applications: Kubernetes provides robust support for stateful applications through features like StatefulSets and persistent volumes. These features enable developers to run stateful workloads such as databases reliably in Kubernetes clusters. Fabric, being more network-focused, doesn't offer these specific features for managing stateful applications in the same comprehensive way.
Community and Ecosystem: Kubernetes has a large and active community, with extensive documentation, tutorials, and plugins available to support users. The strong ecosystem around Kubernetes includes tools for monitoring, logging, networking, and more. Fabric, while actively developing, may not have the same breadth and depth of community support and ecosystem as Kubernetes.
Architecture: The architectural differences between Fabric and Kubernetes are significant. Fabric is a permissioned blockchain network, designed specifically for enterprise use cases, with an emphasis on privacy, scalability, and modular design. Kubernetes, on the other hand, is a container orchestration platform that focuses on automating the deployment, scaling, and management of containerized applications. The architectural paradigms of Fabric and Kubernetes are fundamentally different, reflecting their distinct purposes and target domains.
In Summary, Fabric and Kubernetes differ in scalability, configuration management, resource orchestration, support for stateful applications, community and ecosystem, and architectural paradigms, making each platform suitable for distinct use cases within the realm of network and container 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 Fabric
- Python23
- Simple21
- Low learning curve, from bash script to Python power5
- Installation feedback for Twitter App Cards5
- Easy on maintainance3
- Single config file3
- Installation? pip install fabric... Boom3
- Easy to add any type of job3
- Agentless3
- Easily automate any set system automation2
- Flexible1
- Crash Analytics1
- Backward compatibility1
- Remote sudo execution1
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 Fabric
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
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What is Fabric?
What is Kubernetes?
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