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Docker Cloud vs Kubernetes: What are the differences?
Differences between Docker Cloud and Kubernetes
Introduction: Docker Cloud and Kubernetes are both popular container orchestration platforms that help in managing and deploying containerized applications. However, there are key differences between the two platforms that set them apart.
Scalability: Docker Cloud is suitable for small to medium-sized deployments, whereas Kubernetes is designed for large-scale and enterprise-level deployments. Kubernetes can handle more complex workload management and scaling requirements, making it a better choice for high-demand applications.
Containerization Standards: Docker Cloud is built specifically for Docker containers and supports containerization standards based on Docker technology. In contrast, Kubernetes is container-agnostic and can work with different containerization technologies, including Docker, rkt, and others. This flexibility allows Kubernetes to support a wider range of container runtimes and gives users more choices.
Management approach: Docker Cloud provides a simpler and more user-friendly management interface, making it easier for users to get started with container deployment and management. On the other hand, Kubernetes has a more complex management structure with a set of powerful features that allow for fine-grained control and customization. This makes Kubernetes more suitable for advanced users who require more control and flexibility in their deployments.
Orchestration Features: Kubernetes offers a comprehensive set of built-in orchestration features, such as automatic scaling, load balancing, service discovery, and self-healing. Docker Cloud, while it provides some basic orchestration capabilities, does not offer the same level of built-in features as Kubernetes. Users of Docker Cloud may need to use additional tools or integrate with other platforms to achieve the same level of orchestration functionality.
Community Support: Kubernetes has a larger and more active community compared to Docker Cloud. This means that there are more resources, documentation, and community-driven projects available for Kubernetes. The vibrant community makes it easier to find help, share knowledge, and stay up-to-date on the latest developments in the Kubernetes ecosystem.
Ecosystem and Integration: Docker Cloud integrates seamlessly with other Docker tools and services, such as Docker Swarm, Docker Machine, and Docker Compose. This tight integration provides a more cohesive Docker experience and makes it easier to manage the entire container stack. On the other hand, Kubernetes has a broader ecosystem and integrates well with various cloud providers, storage solutions, monitoring tools, and more. This allows users to build more complex and versatile deployments using Kubernetes.
In Summary, Docker Cloud is suitable for smaller deployments and offers a simpler management interface, while Kubernetes is designed for larger-scale deployments, provides advanced orchestration features, has a larger community, and offers better ecosystem integration options.
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 Docker Cloud
- Easy to use9
- Seamless transition from docker compose2
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
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Cons of Docker Cloud
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