- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Instance Management
- Creating Instance
- Naming with Consecutive Numeric Suffixes or Designated Pattern String
- Viewing Instance
- Upgrading Instance
- Downgrading Instance Configuration
- Terminating/Returning Instances
- Change from Pay-as-You-Go to Monthly Subscription
- Upgrading Instance Version
- Adding Routing Policy
- Public Network Bandwidth Management
- Connecting to Prometheus
- AZ Migration
- Setting Maintenance Time
- Setting Message Size
- Topic Management
- Consumer Group
- Monitoring and Alarms
- Smart Ops
- Permission Management
- Tag Management
- Querying Message
- Event Center
- Migration to Cloud
- Data Compression
- Instance Management
- CKafka Connector
- Practical Tutorial
- Practical Tutorial of CKafka Client
- Connector Practical Tutorial
- Connecting Flink to CKafka
- Connecting Schema Registry to CKafka
- Connecting Spark Streaming to CKafka
- Connecting Flume to CKafka
- Connecting Kafka Connect to CKafka
- Connecting Storm to CKafka
- Connecting Logstash to CKafka
- Connecting Filebeat to CKafka
- Multi-AZ Deployment
- Log Access
- Replacing Supportive Route (Old)
- Practice Tutorial for Cluster Bandwidth in High CPU Utilization Scenarios
- Practice Tutorial for Cluster Capacity Planning
- Troubleshooting
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- DataHub APIs
- ACL APIs
- Topic APIs
- BatchModifyGroupOffsets
- BatchModifyTopicAttributes
- CreateConsumer
- CreateDatahubTopic
- CreatePartition
- CreateTopic
- CreateTopicIpWhiteList
- DeleteTopic
- DeleteTopicIpWhiteList
- DescribeDatahubTopic
- DescribeTopic
- DescribeTopicAttributes
- DescribeTopicDetail
- DescribeTopicProduceConnection
- DescribeTopicSubscribeGroup
- FetchMessageByOffset
- FetchMessageListByOffset
- ModifyDatahubTopic
- ModifyTopicAttributes
- DescribeTopicSyncReplica
- Instance APIs
- Route APIs
- Other APIs
- Data Types
- Error Codes
- SDK Documentation
- General References
- Conducting Production and Consumption Pressure Testing on CKafka
- Configuration Guide for Common Parameters in CKafka
- Connecting to Legacy Self-Built Kafka
- Suggestions for CKafka Version Selection
- CKafka Data Reliability Description
- Connector
- FAQs
- Service Level Agreement
- Contact Us
- Glossary
- Release Notes and Announcements
- Product Introduction
- Purchase Guide
- Getting Started
- Operation Guide
- Instance Management
- Creating Instance
- Naming with Consecutive Numeric Suffixes or Designated Pattern String
- Viewing Instance
- Upgrading Instance
- Downgrading Instance Configuration
- Terminating/Returning Instances
- Change from Pay-as-You-Go to Monthly Subscription
- Upgrading Instance Version
- Adding Routing Policy
- Public Network Bandwidth Management
- Connecting to Prometheus
- AZ Migration
- Setting Maintenance Time
- Setting Message Size
- Topic Management
- Consumer Group
- Monitoring and Alarms
- Smart Ops
- Permission Management
- Tag Management
- Querying Message
- Event Center
- Migration to Cloud
- Data Compression
- Instance Management
- CKafka Connector
- Practical Tutorial
- Practical Tutorial of CKafka Client
- Connector Practical Tutorial
- Connecting Flink to CKafka
- Connecting Schema Registry to CKafka
- Connecting Spark Streaming to CKafka
- Connecting Flume to CKafka
- Connecting Kafka Connect to CKafka
- Connecting Storm to CKafka
- Connecting Logstash to CKafka
- Connecting Filebeat to CKafka
- Multi-AZ Deployment
- Log Access
- Replacing Supportive Route (Old)
- Practice Tutorial for Cluster Bandwidth in High CPU Utilization Scenarios
- Practice Tutorial for Cluster Capacity Planning
- Troubleshooting
- API Documentation
- History
- Introduction
- API Category
- Making API Requests
- DataHub APIs
- ACL APIs
- Topic APIs
- BatchModifyGroupOffsets
- BatchModifyTopicAttributes
- CreateConsumer
- CreateDatahubTopic
- CreatePartition
- CreateTopic
- CreateTopicIpWhiteList
- DeleteTopic
- DeleteTopicIpWhiteList
- DescribeDatahubTopic
- DescribeTopic
- DescribeTopicAttributes
- DescribeTopicDetail
- DescribeTopicProduceConnection
- DescribeTopicSubscribeGroup
- FetchMessageByOffset
- FetchMessageListByOffset
- ModifyDatahubTopic
- ModifyTopicAttributes
- DescribeTopicSyncReplica
- Instance APIs
- Route APIs
- Other APIs
- Data Types
- Error Codes
- SDK Documentation
- General References
- Conducting Production and Consumption Pressure Testing on CKafka
- Configuration Guide for Common Parameters in CKafka
- Connecting to Legacy Self-Built Kafka
- Suggestions for CKafka Version Selection
- CKafka Data Reliability Description
- Connector
- FAQs
- Service Level Agreement
- Contact Us
- Glossary
Background
TDMQ for Ckafka offers fixed bandwidth specifications, and supports the upgrade and downgrade feature. This facilitates users to make adjustments when there are changes in business. However, in the actual business operation scenarios, we often find unpredictable changes in business traffic. Also, due to potential data migration, the expansion time cannot be controlled, thus causing unexpected impacts on the business.
To address such issues, the Pro Edition of TDMQ for Ckafka introduces the capability of elastic bandwidth. That is, when the business exceeds the cluster's fixed specifications, a certain degree of elastic space will still be provided to ensure the normal operation of the business.
Feature Overview
The Pro Edition of TDMQ for Ckafka supports elastic bandwidth configuration. This is suitable for scenarios where there is occasional sudden traffic on the business. The part exceeding the instance specifications is charged on a pay-as-you-go basis, and the incremental part that can be added has an upper limit. If the business traffic exceeds the instance specifications for most of the time, it is recommended to quickly scale up or down using the existing upgrade and downgrade capability.
Billing Description
The pay-as-you-go method is adopted for elastic bandwidth. Once the billing mode is enabled, no fees will be incurred if elastic bandwidth is not used. The Pro Edition's console offers relevant monitoring metrics to help with observation.
The billing items for elastic bandwidth consist of two parts: elastic production traffic and elastic consumption traffic. The related billing methods are outlined in the following table:
Billing Items | Calculation Formula | Settlement Method |
Elastic Production Fees | Total Elastic Production Traffic (GB) (excluding traffic generated by replicas) x Elastic Pricing (CNY/GB) x Number of Replicas | The time is settled hourly. If the time is less than one hour, it is counted as one hour. Billing is pushed daily |
Elastic Consumption Fees | Total Elastic Consumption Traffic (GB) (excluding traffic generated by replicas) x Elastic Pricing (CNY/GB) | The time is settled hourly. If the time is less than one hour, it is counted as one hour.
Billing is pushed daily |
Elastic Bandwidth Space
Available space of elastic bandwidth. It is related to Pro Edition cluster specifications, and below is the corresponding elastic interval.
Bandwidth Range (MB/s) | Upward Adjustment Margin (MB/s) |
20~100 | 30 |
120~300 | 60 |
320~600 | 100 |
620~900 | 200 |
920~1200 | 600 |
1,600 and above | 700 |
Use Limits
1. Current elastic bandwidth configuration does not support deactivation once enabled.
2. This feature is in allowlist grayscale testing. To enable, you may Contact Us.
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