Overview
Log search and analysis are indispensable to O&M. After configuring log ingestion, you can search and analyze the collected log data on LTS. Its efficient and professional log collection, search, and analysis help you monitor and manage your systems and applications.
Log Structuring
Before searching and analyzing reported logs, you need to configure structuring and indexing for them. Structured data has a unified length and format, which can significantly improve search and analysis efficiency and accuracy.
Log data can be structured or unstructured.
- Structured data is organized using data models such as tables and relational databases. It has a strict length and format, facilitating storage and analysis.
- Unstructured data has no pre-defined data models and cannot be fit into two-dimensional tables of databases. It is difficult to analyze unstructured data.
Log structuring extracts logs with fixed formats or high similarity from log streams and filters out irrelevant logs.
Log structuring parsing converts unstructured or semi-structured log data into a structured format for better storage, query, and analysis, improving log data readability, searchability, and query efficiency.
Log Search
After structuring the logs, use LTS search syntax to set search criteria with higher efficiency. For details, see Searching for Logs.
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