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Kubernetes vs Moby: What are the differences?
Introduction
In the world of containerization and managing containers at scale, two popular technologies that are often compared are Kubernetes and Moby. While both serve different purposes, there are key differences between them that distinguish their functionalities and use cases.
Architecture: Kubernetes is an open-source container orchestration platform that provides a framework for automating the deployment, scaling, and management of containerized applications. It uses a master-worker architecture where a cluster consists of a master node responsible for managing the cluster and worker nodes that run the containers. On the other hand, Moby is an open-source project that serves as the upstream for Docker. It's a modular framework for building customized container systems and can be seen as a building block for Docker, offering greater flexibility in the container stack.
Scalability: Kubernetes is highly scalable and allows you to easily scale the number of containers running in a cluster horizontally. It can handle large-scale deployments with thousands of containers efficiently. Moby, on the other hand, does not provide native scaling features. Its focus is more on customization and building container systems rather than managing large-scale deployments.
Ease of Use: Kubernetes has a steep learning curve and requires a good understanding of its concepts and components to use it effectively. It provides complex abstractions and a rich set of features for managing containers at scale. Moby, on the other hand, aims to provide a simplified experience for developers and allows for more straightforward customization of container systems. It offers a lighter and more accessible approach to containerization.
Community and Support: Kubernetes has a massive and vibrant community behind it, with contributions from major tech companies and a wide range of tools and plugins available. It has become the de facto standard for container orchestration. Moby, being the upstream for Docker, also benefits from a strong community and support. However, the focus of their communities differs, with Kubernetes focusing more on large-scale deployments and Moby on building customized container systems.
Use Case: Kubernetes is designed to handle complex container orchestration scenarios, making it suitable for large-scale production deployments. It provides built-in features for load balancing, service discovery, and self-healing. Moby, on the other hand, is more geared towards developers and individuals who want to customize their container systems or build their own container-related projects.
Containerization Stack: Kubernetes provides a higher-level abstraction for managing containers and can work with various container runtimes, including Docker, containerd, and CRI-O. It focuses on the orchestration layer and provides features like scaling, service discovery, and rolling updates. Moby, being the upstream for Docker, focuses on the lower-level container runtime, allowing users to build their own container systems using components like containerd or runC.
In summary, Kubernetes is a powerful container orchestration platform designed for large-scale deployments, while Moby serves as a modular building block for Docker and offers more customization options for container systems.
Hello, we have a bunch of local hosts (Linux and Windows) where Docker containers are running with bamboo agents on them. Currently, each container is installed as a system service. Each host is set up manually. I want to improve the system by adding some sort of orchestration software that should install, update and check for consistency in my docker containers. I don't need any clouds, all hosts are local. I'd prefer simple solutions. What orchestration system should I choose?
If you just want the basic orchestration between a set of defined hosts, go with Docker Swarm. If you want more advanced orchestration + flexibility in terms of resource management and load balancing go with Kubernetes. In both cases, you can make it even more complex while making the whole architecture more understandable and replicable by using Terraform.
We develop rapidly with docker-compose orchestrated services, however, for production - we utilise the very best ideas that Kubernetes has to offer: SCALE! We can scale when needed, setting a maximum and minimum level of nodes for each application layer - scaling only when the load balancer needs it. This allowed us to reduce our devops costs by 40% whilst also maintaining an SLA of 99.87%.
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 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
Pros of Moby
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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