You are charged for all billable items in Log Service. For example, you are charged for used storage space when you store logs, and you are charged for write traffic when you collect logs. This topic describes the billable items and billing method of Log Service.
- You can use Log Service to collect log data and time series data. The pricing of stored data and indexes for time series data is different from the pricing of stored data and indexes for log data. However, the pricing of other billable items for time series data is the same as the pricing of other billable items for log data. The billable items include data transformation, data shipping, read and write traffic, and the number of requests.
- You can view the following statistics of the previous day in the Log Service console: write traffic, read traffic, number of read and write operations, transformation traffic, shipping traffic, and used storage space.
- When you use Log Service to collect logs, log data is automatically compressed. The compression ratio is 10:1 to 5:1.
The following table describes the billable items of Log Service. For more information about the pricing of Log Service, see Log Service pricing.
| Billable item | Description | Billing formula |
|---|---|---|
| Storage space occupied by log data | The storage space is the total size of compressed log data and indexed log data.
For example, the volume of raw log data that is uploaded to Log Service is 1 GB, and indexes are created for two fields. The compression ratio is 5:1, and the size of indexes that are created for the two fields is 0.5 GB. In this case, the storage space occupied by log data is 0.7 GB (0.2 GB + 0.5 GB = 0.7 GB). |
Fee of the storage space occupied by log data = Used storage space per day × Price per GB of log data |
| Storage space occupied by time series data | The storage space is the total size of raw time series data and indexed time series
data.
For example, the volume of raw time series data that is uploaded to Log Service is 1 GB, and indexes are automatically created. In this case, the storage space occupied by time series data is 2 GB (1 GB + 1 GB = 2 GB). |
Fee of the storage space occupied by time series data = Used storage space per day × Price per GB of time series data |
| Read and write traffic | Read and write traffic includes write traffic and read traffic.
Note When you use the consumption preview feature in the Log Service console, a small amount
of read traffic is generated.
|
Fee of the read and write traffic = (Write traffic per day + Read traffic per day) × Price per GB of traffic |
| Index traffic of log data | The index traffic is calculated based on the indexes that are created or recreated
for raw log data. Indexes are created for fields. The size of index traffic depends
on the length of indexed fields and field values.
Note
|
Fee of the index traffic of log data = Index traffic per day × Price per GB of index traffic |
| Index traffic of time series data | The index traffic is calculated based on the indexes that are created for raw time
series data. Indexes are created for fields. The size of index traffic depends on
the length of indexed fields and field values.
When you upload time series data, Log Service automatically creates indexes for the time series data. For example, 1 GB of raw time series data is written to Log Service. In this case, the index traffic is 1 GB. |
Fee of the index traffic of time series data = Index traffic per day × Price per GB of index traffic |
| Read traffic over the Internet |
|
Fee of the read traffic over the Internet = Read traffic over the Internet per day × Price per GB of read traffic over the Internet |
| Data transformation | You are charged for the transformed raw data.
The data transformation billable item incurs fees based on the transformed data. When you use the data transformation
feature, you are also charged for the following resources:
|
Data transformation fee = Transformed data per day × Price per GB of transformed data |
| Data shipping | You are charged for the shipped raw data. You can ship data to Object Storage Service
(OSS), AnalyticDB for MySQL, and TSDB.
Note When you ship data to AnalyticDB for MySQL or TSDB, network resources are consumed
and the API operation is called to read data. In this case, you are charged based
on the generated read traffic and the number of read and write operations.
|
Data shipping fee = Shipped data per day × Price per GB of shipped data |
| Read and write operations |
Note The number of read and write operations is calculated regardless of whether these
operations are successful.
|
Fee of the read and write operations = Number of read and write operations per day × Price per operation |
| Voice calls | When you receive notifications by using voice calls, you are charged based on the
number of times that alert notifications are sent.
Note
|
Fee of the voice calls = Number of times that alert notifications are sent per day × Price per notification |
| SMS messages | When you receive notifications by using SMS messages, you are charged based on the
number of times that alert notifications are sent.
Note If an SMS message is longer than 70 characters, it may be sent in two messages. In
this case, you are charged only once.
|
Fee of the SMS messages = Number of times that alert notifications are sent per day × Price per notification |
| Active shards | Only shards in the readwrite state incur fees. Merged or split shards do not incur
fees.
For example, you need to merge three shards that are in the readwrite state. After you merge these shards, one shard is in the readwrite state, and the other two shards become read-only. On the day that you merge these three shards, you are charged for three shards. On the next day, you are charged for only one shard. Note By default, two shards are created when you create a Logstore. For more information,
see Why am I charged for active shards?
|
Rental fee of the active shards = Number of shards in the readwrite state × Price per shard |