Features

Before using LTS, learn its main features in Table 1.

**Table 1** Features
Feature	Description
Log ingestion for all device-cloud scenarios	Covers 40+ cloud services, servers/containers, mobile devices, clouds, SDKs of different languages, and accounts.
Real-time log collection	Collects real-time logs and displays them on the LTS console in an intuitive and orderly manner. You can query logs or transfer logs for long-term storage. Collected logs can be structured or unstructured. Log structuring processes logs in log streams by extracting the logs in a fixed format or with a similar pattern based on the extraction rules you set. Then you can use SQL syntax to query the structured logs.
High-volume storage and search	Supports log query by keyword or fuzzy match, search of tens of billions of logs in seconds, and iterative search of hundreds of billions of logs.
SQL statistics and visual charts	Provides out-of-the-box dashboard templates for you to quickly analyze ingested logs. Displays log analysis results in charts, such as tables, line/pie/bar charts, and maps, or aggregates statistical charts on dashboards for easy operations analysis.
Monitoring and alarms	Collects statistics on logs stored in LTS based on keywords or SQL statements; monitors service running status in real time based on the number of keyword occurrences in logs within a specified period; sends custom notifications through channels such as SMS, email, WeCom, DingTalk, and HTTP.
Log transfer	Allows you to transfer logs to OBS for long-term storage. Logs reported from hosts and cloud services are retained in LTS for a custom period. Log transfer is to replicate logs to the target cloud service. The original logs are retained in LTS and will be automatically deleted when the configured retention period ends. Allows you to transfer logs to DWS/DIS/DLI/DMS with ease for building horizontal solutions.
Log consumption and processing	Provides Domain Specific Language (DSL) processing and more than 200 built-in functions to achieve one-stop log normalization, enrichment, anonymization, filtering, and splitting. LTS can also aggregate data by implementing scheduled SQL statistics. Uses SDKs to consume LTS logs to obtain full log data as the data source for stream computing. (The SDK consumption function is being tested and is not available yet.)