- What's New
- Function Overview
- Service Overview
- Billing
- Getting Started
- User Guide
- Best Practices
-
Developer Guide
- Overview
- Using Native kubectl (Recommended)
- Namespace and Network
- Pod
- Label
- Deployment
- EIPPool
- EIP
- Pod Resource Monitoring Metric
- Collecting Pod Logs
- Managing Network Access Through Service and Ingress
- Using PersistentVolumeClaim to Apply for Persistent Storage
- ConfigMap and Secret
- Creating a Workload Using Job and Cron Job
- YAML Syntax
-
API Reference
- Before You Start
- Calling APIs
- Getting Started
- Proprietary APIs
-
Kubernetes APIs
- ConfigMap
- Pod
- StorageClass
- Service
-
Deployment
- Querying All Deployments
- Deleting All Deployments in a Namespace
- Querying Deployments in a Namespace
- Creating a Deployment
- Deleting a Deployment
- Querying a Deployment
- Updating a Deployment
- Replacing a Deployment
- Querying the Scaling Operation of a Specified Deployment
- Updating the Scaling Operation of a Specified Deployment
- Replacing the Scaling Operation of a Specified Deployment
- Querying the Status of a Deployment
- Ingress
- OpenAPIv2
- VolcanoJob
- Namespace
- ClusterRole
- Secret
- Endpoint
- ResourceQuota
- CronJob
-
API groups
- Querying API Versions
- Querying All APIs of v1
- Querying an APIGroupList
- Querying APIGroup (/apis/apps)
- Querying APIs of apps/v1
- Querying an APIGroup (/apis/batch)
- Querying an APIGroup (/apis/batch.volcano.sh)
- Querying All APIs of batch.volcano.sh/v1alpha1
- Querying All APIs of batch/v1
- Querying All APIs of batch/v1beta1
- Querying an APIGroup (/apis/crd.yangtse.cni)
- Querying All APIs of crd.yangtse.cni/v1
- Querying an APIGroup (/apis/extensions)
- Querying All APIs of extensions/v1beta1
- Querying an APIGroup (/apis/metrics.k8s.io)
- Querying All APIs of metrics.k8s.io/v1beta1
- Querying an APIGroup (/apis/networking.cci.io)
- Querying All APIs of networking.cci.io/v1beta1
- Querying an APIGroup (/apis/rbac.authorization.k8s.io)
- Querying All APIs of rbac.authorization.k8s.io/v1
- Event
- PersistentVolumeClaim
- RoleBinding
- StatefulSet
- Job
- ReplicaSet
- Data Structure
- Permissions Policies and Supported Actions
- Appendix
- Out-of-Date APIs
- Change History
-
FAQs
- Product Consulting
-
Basic Concept FAQs
- What Is CCI?
- What Are the Differences Between Cloud Container Instance and Cloud Container Engine?
- What Is an Environment Variable?
- What Is a Service?
- What Is Mcore?
- What Are the Relationships Between Images, Containers, and Workloads?
- What Are Kata Containers?
- Can kubectl Be Used to Manage Container Instances?
- What Are Core-Hours in CCI Resource Packages?
- Workload Abnormalities
-
Container Workload FAQs
- Why Service Performance Does Not Meet the Expectation?
- How Do I Set the Quantity of Instances (Pods)?
- How Do I Check My Resource Quotas?
- How Do I Set Probes for a Workload?
- How Do I Configure an Auto Scaling Policy?
- What Do I Do If the Workload Created from the sample Image Fails to Run?
- How Do I View Pods After I Call the API to Delete a Deployment?
- Why an Error Is Reported When a GPU-Related Operation Is Performed on the Container Entered by Using exec?
- Can I Start a Container in Privileged Mode When Running the systemctl Command in a Container in a CCI Cluster?
- Why Does the Intel oneAPI Toolkit Fail to Run VASP Tasks Occasionally?
- Why Are Pods Evicted?
- Why Is the Workload Web-Terminal Not Displayed on the Console?
- Why Are Fees Continuously Deducted After I Delete a Workload?
-
Image Repository FAQs
- Can I Export Public Images?
- How Do I Create a Container Image?
- How Do I Upload Images?
- Does CCI Provide Base Container Images for Download?
- Does CCI Administrator Have the Permission to Upload Image Packages?
- What Permissions Are Required for Uploading Image Packages for CCI?
- What Do I Do If Authentication Is Required During Image Push?
-
Network Management FAQs
- How Do I View the VPC CIDR Block?
- Does CCI Support Load Balancing?
- How Do I Configure the DNS Service on CCI?
- Does CCI Support InfiniBand (IB) Networks?
- How Do I Access a Container from a Public Network?
- How Do I Access a Public Network from a Container?
- What Do I Do If Access to a Workload from a Public Network Fails?
- What Do I Do If Error 504 Is Reported When I Access a Workload?
- What Do I Do If the Connection Timed Out?
- Storage Management FAQs
- Log Collection
- Account
- SDK Reference
- Videos
- General Reference
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Application Scenarios
Big Data and AI Computing
Currently, most big data and AI training applications (such as TensorFlow and Caffe) run in containerized mode. These applications are GPU intensive and require high-performance network and storage. In addition, as these applications are task-based, resources must be quickly allocated upon task creation and released upon task completion.
The following CCI features make it suitable for running these applications:
- Accelerated computing with heterogeneous GPUs and Ascend chips (in-house AI chips)
- Large-scale, high-concurrency container creation and management
- On-demand usage and billing
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Scientific Computing
Scientific R&D in fields such as genomics and drug development requires high-performance and high-density computing. In addition, scientific computing is generally task-based and resources need to be quickly allocated and released. Therefore, a low-cost computing platform with automated O&M is required.
The following CCI features make it suitable for computing in this scenario:
- High-performance computing and network, and high I/O storage
- Resource scaling in seconds minimizes resource consumption
- No O&M required for clusters and servers, greatly reducing O&M costs
- On-demand usage and billing
DevOps/Continuous Delivery
Software development enterprises need a complete DevOps process from code submission to application deployment to improve the development efficiency. DevOps processes such as continuous integration/continuous delivery (CI/CD) are generally task-based computing and require quick resource allocation and release.
The following CCI features make it suitable for computing in this scenario:
- Automation for the entire CI/CD process, with no cluster creation and maintenance required
- Image-based delivery, allowing for consistency between the development and production environments
- On-demand usage and billing
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Services with Fluctuating Traffic
Some types of applications, such as live video, media information, e-commerce, and online education, have obvious service peaks and troughs. For these applications, resources need to be expanded rapidly during peak hours without breaking the bank.
The following CCI features make it suitable for these applications:
- Fast scaling: CCI can quickly take over services from CCE to ensure uptime during peak hours.
- Low-cost, flexible billing modes: When services are stable, they can be run on CCE and be periodically billed. During peak hours, additional services can be run on CCI and be billed based on the usage. This mode greatly reduces costs.
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