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8 docs tagged with "parsing-rules"

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Auto JSON parsing

Coralogix provides automated parsing of any valid JSON format you send, allowing you to sort, filter, group and visualize any JSON parameter

JSON stringify

Json Stringify rule allows you to change an array or an object from JSON format to text.

Log normalization

Simplify data analysis with log normalization by introducing standardized keys for common values across product logs.

Log Parsing Rules

Log parsing rules provide you the ability to parse, extract, convert and filter your log entries. Rules can help you convert unstructured log data to JSON

Parse JSON field

Sometimes logs arrive escaped or stringified. With the Parse JSON field rule, you can easily convert these logs back into structured JSON.

Parsing rule types

Overview of all parsing rule types available for data transformation in Coralogix, including examples and key use cases.

Pipeline Analyzer

Troubleshoot pipeline behavior with pinpoint accuracy using Pipeline Analyzer.

Rules cheat sheet

Rules help you to take full advantage of Coralogix log parsing capabilities. For example, you can create your own rules to convert plain text logs into structured JSON logs or extract specific data from the log message as the value to a new JSON key. Coralogix parsing rules are applied prior to the indexing and storing of your logs, so you have full control over the final structure of your data.