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.
High-volume storage and search	Supports quick log query by keyword or fuzzy match.
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	You can customize the retention period for the host and cloud service logs reported to LTS. Logs older than the retention period will be automatically deleted. For long-term storage, you can transfer logs to Object Storage Service (OBS). Log transfer is to replicate logs to the target cloud service. It means that, after log transfer, the original logs will still be retained in LTS until 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.)