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Kubernetes vs Marathon: What are the differences?
Container Orchestration: Kubernetes vs. Marathon
Introduction
In modern software development, container orchestration plays a crucial role in managing and automating the deployment, scaling, and management of containers. Kubernetes and Marathon are two popular container orchestration platforms, each with its own unique features and capabilities. This comparison aims to highlight the key differences between Kubernetes and Marathon.
Architecture: Kubernetes is built on a distributed architecture with a master-slave setup, where the master node manages and controls the cluster, while the worker nodes execute the tasks. On the other hand, Marathon follows a more centralized architecture, with a single Marathon instance managing the entire cluster.
Scalability: Kubernetes is designed for massive scalability, with the ability to manage thousands of containers across multiple nodes. It offers features like automatic scaling, cluster-level scaling, and horizontal scaling to handle high loads. Marathon, while also scalable, may face limitations when managing large-scale deployments with thousands of containers.
Flexibility: Kubernetes provides a highly flexible and extensible platform with a wide range of features and integrations. It supports various container runtimes, networking plugins, and storage options, allowing users to choose the components that best fit their requirements. Marathon, on the other hand, is more focused on running long-lived services and may be less flexible in terms of runtime options.
Service Discovery and Networking: Kubernetes includes built-in service discovery and networking features, allowing containers within the cluster to easily communicate with each other. It provides a DNS-based service discovery mechanism and a powerful networking model. Marathon, while capable of integrating with external service discovery tools like Consul or ZooKeeper, doesn't have native service discovery and networking capabilities.
Application Management: Kubernetes offers a rich set of features for managing complex applications and dependencies. It supports rolling updates, canary deployments, and blue-green deployments to ensure seamless application updates and zero-downtime deployments. Marathon, while capable of managing applications, may not provide the same level of sophistication and fine-grained control for complex application deployments.
Community and Ecosystem: Kubernetes has a large, vibrant community and a robust ecosystem of tools, extensions, and third-party integrations. It benefits from the contributions of major cloud providers and has a wide range of resources and support available. Marathon, although actively maintained, may have a smaller community and ecosystem compared to Kubernetes.
In summary, Kubernetes and Marathon have different architectural approaches, scalability capabilities, flexibility, application management features, service discovery, and community support. The choice between the two depends on the specific requirements of the project, the complexity of the application, and the desired level of flexibility and scalability.
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 powerful129
- Open source107
- Backed by google76
- The right abstractions58
- Scale services25
- Replication controller20
- Permission managment11
- Supports autoscaling9
- Simple8
- Cheap8
- Self-healing6
- Open, powerful, stable5
- Reliable5
- No cloud platform lock-in5
- Promotes modern/good infrascture practice5
- Scalable4
- Quick cloud setup4
- Custom and extensibility3
- Captain of Container Ship3
- Cloud Agnostic3
- Backed by Red Hat3
- Runs on azure3
- A self healing environment with rich metadata3
- Everything of CaaS2
- Gke2
- Golang2
- Easy setup2
- Expandable2
- Sfg2
Pros of Marathon
- High Availability1
- Powerful UI1
- Service Discovery1
- Load Balancing1
- Health Checks1
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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