Kubernetes
Common Scenarios
| Scenario | Description |
|---|---|
| Large-scale application deployment | Kubernetes can manage a large number of containerized applications and provides automated scaling and load balancing, suiting large-scale applications that need fast deployment and scaling. |
| Multi-tenant environments | Kubernetes supports multi-tenant environments. The Namespace concept isolates the resources of different tenants, so multiple applications can run in one cluster with secure isolation between them. |
| Elastic scaling | Kubernetes can scale the number of application instances automatically based on load, meeting the application's needs, and can adjust resource usage automatically to optimize performance and availability. |
| Microservice architecture | Kubernetes supports containerized microservice application architectures, letting an application be split into multiple small services deployed separately, which improves maintainability and scalability. |
| Hybrid cloud environments | Kubernetes supports deploying and managing applications in both public and private clouds, enabling hybrid cloud deployment and management while keeping applications consistent and portable. |
| Continuous integration and continuous deployment | Kubernetes integrates with CI/CD tools such as Jenkins, GitLab, and Travis CI to automate deploying and updating applications, improving the efficiency and reliability of application delivery. |
Using Kubernetes on a Public Cloud
| Deployment approach | Recommended scenarios |
|---|---|
| Managed service | - No dedicated Kubernetes operations team - Not enough resources to build your own Kubernetes cluster - Need to deploy and scale applications quickly - The public cloud vendor's Kubernetes service automates running and maintaining the cluster and offers higher-level features such as autoscaling, load balancing, monitoring, and log collection - The vendor offers multiple availability zones, enabling high availability and disaster recovery |
| Self-managed deployment | - Need a highly customized Kubernetes environment - Need a high degree of control over Kubernetes - Have substantial technical experience and resources |
What Kubernetes Distributions Exist
| Distribution | Characteristics | Scenarios |
|---|---|---|
| Official Kubernetes | - Maintained by the Kubernetes project itself; the most original and stable version - Strong community support, better maintainability and stability - Suits enterprises or individuals with some technical foundation and resources |
- Higher technical requirements - High demand for Kubernetes customization |
| Google Kubernetes Engine (GKE) | - A Kubernetes version maintained by Google - Integrates Google's own services and tools, such as Google Cloud Storage and Google Cloud Build - Automates running and maintaining the Kubernetes cluster - Supports autoscaling, load balancing, monitoring, log collection, and other advanced features |
- Enterprises or individuals using Google Cloud Platform |
| Red Hat OpenShift | - An open-source PaaS platform based on Kubernetes - Integrates components such as Istio and Knative - Enhanced for security and manageability - Provides higher-level application deployment and management |
- High requirements for Kubernetes management and security - Strong application deployment and management needs |
| Rancher | - An open-source container management platform based on Kubernetes - Integrates components such as Istio and Harbor - Provides a simple, easy-to-use UI and management tools - Supports multiple Kubernetes deployment approaches, such as managed service and self-managed |
- Need simple, easy-to-use Kubernetes management tooling - Need support for multiple deployment approaches |
| K3s | - A lightweight Kubernetes distribution - Simple to install; a cluster can be deployed quickly - Low resource usage, suited to resource-constrained environments such as edge computing |
- Edge computing and IoT scenarios with limited resources - Need a lightweight Kubernetes solution |
Kubernetes Deployment Tools
| Tool | Characteristics | Scenarios |
|---|---|---|
| kubeadm | - The deployment tool recommended by the Kubernetes project - Simple and easy to use, suited to building small Kubernetes clusters quickly - Supports custom configuration and extension |
- Quickly building a small Kubernetes cluster - Some technical requirements for cluster configuration and extension |
| kops | - A deployment tool recommended by the Kubernetes project - Supports automated deployment, upgrade, and management of Kubernetes clusters - Supports multiple cloud platforms and custom configuration |
- Need to deploy large-scale Kubernetes clusters - Need multi-cloud support |
| Rancher | - An open-source Kubernetes management platform - Supports automated deployment and management of Kubernetes clusters - Supports multiple Kubernetes deployment approaches, such as managed service and self-managed - Provides a simple, easy-to-use UI and management tools |
- Need simple, easy-to-use Kubernetes management tooling - Need support for multiple deployment approaches |
| OpenShift | - An open-source PaaS platform based on Kubernetes - Integrates components such as Istio and Knative - Enhanced for security and manageability - Provides higher-level application deployment and management |
- High requirements for Kubernetes management and security - Strong application deployment and management needs |
| Kubespray | - An open-source Kubernetes deployment tool - Supports multiple cloud platforms and custom configuration - Provides flexible automated deployment and management |
- Need to deploy Kubernetes clusters on different cloud platforms - Need flexible automated deployment and management |
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