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Best Practices
- CAE Best Practices
- Using CAE to Host Nginx Static File Servers
- Interconnecting GitLab with Jenkins for Automatic Build and Deployment on CAE
- Deploying Components Based on the Dependency Sequence Using the Jenkins Pipeline
- Deploying Spring Cloud Applications to CAE to Automatically Connect to the Nacos Engine
- Graceful Startup of a Spring Cloud Application
- Health Check
- Lifecycle Management
- Sending Event Alarms to WeCom
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Connecting to the CodeArts Pipeline to Automatically Upgrade CAE Components
- Overview
- Upgrading a CAE Component After Uploading a Software Package Built Using the Pipeline to a CodeArts Release Repo
- Upgrading a CAE Component After Uploading a Software Package Built Using the Pipeline to the OBS Bucket
- Upgrading a CAE Component After Uploading an Image Built Using the Pipeline to the SWR Image Repository
- Configuring PromQL to Implement Custom Auto Scaling
- Configuring the Interconnection Between CAE and DEW to Help Applications Obtain Encrypted Secrets from DEW
- Deploying ASP.NET Core Applications to CAE
- Connecting the Network Through Enterprise Routes
- API Reference
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FAQs
- Component Management FAQs
- Environment Management
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Component Configuration FAQs
- Is Manual Scaling Still Effective When a Scaling Policy Is Configured?
- Can Components Be Scaled Without a Scaling Policy?
- Why Is My Instance Abnormal After Cloud Storage Is Configured?
- What Do I Do If a Component Becomes Not Ready?
- How Does CAE Support Dark Launch?
- How Do I Provide Prometheus Metrics for a Java Application?
- System Configuration FAQs
- Service Resources FAQs
- General Reference
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Billing Examples
Scenario 1
On Mar 15, 2023, CAE hosted a microservice application and provided services for users.
- Specifications: one 2 vCPU | 4 GiB component and two 1 vCPU | 2 GiB components.
- Running: The application started at 10:00:00 and stopped at 15:00:00 every day. During peak hours (11:00:00-12:30:00), the 2 vCPU | 4 GiB component expanded to five instances, and the 1 vCPU | 2 GiB components expanded to three instances. During off-peak hours, each component required two instances to process services. 2.56 GB of traffic data was used in total.
- Off-peak hours: 210 min/day x 15 days = 3,150 min
- Peak hours: 90 min/day x 15 days = 1,350 min
- Traffic: 2.56 GB/day x 15 days = 38.4 GB
NOTICE:
Unit prices in this example are used for reference only, and the calculated prices are estimated fees.
Figure 1 Total price for a pay-per-use CAE instance
Scenario 2
CAE hosted many applications, and used 15,000 core-hours of vCPUs, 30,000 GiB-hours of memory, and 1 TB of traffic data in a month.
Billing Analysis
NOTICE:
Unit prices in this example are used for reference only, and the calculated prices are estimated fees. As unit prices may change from time to time, the calculated prices may differ from actual prices. For details, see the data released on the Huawei Cloud official website.
|
Billing Mode |
Formula |
Billing Cycle |
Price |
|---|---|---|---|
|
Pay-per-use |
vCPU: Instance specification unit price x Instance specifications x Usage duration |
Monthly |
vCPU: $0.0809 USD/core-hour x 15,000 core-hours = $1,213.5 USD/month |
|
Memory: Instance specification unit price x Instance specifications x Usage duration |
Memory: $0.00885 USD/GiB-hour x 30,000 GiB-hours = $265.5 USD/month |
||
|
Traffic: Traffic unit price x Traffic volume |
Traffic: $116.736 USD/TB x 1 TB = $116.736 USD/month |
||
|
Total |
$1,595.736 USD/month |
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