# How I parse logs before searching randomly

A beginner-friendly guide to structured logs, JSON Lines, access logs, syslog, logfmt, filtering, and using a Log Parser.

- Date: 2026-09-27
- URL: https://ilham.dev/posts/how-to-parse-logs-before-searching-randomly/
- Markdown: https://ilham.dev/posts/how-to-parse-logs-before-searching-randomly/index.md
- Tags: logs, debugging, devops, tools
- Reading time: 2 min


Logs become easier to investigate when they are split into fields instead of treated as one giant wall of text.

The [Log Parser](/tools/log-parser/) tool gives me a safe place to test the idea before I put it into a script, server, or production workflow.

## The simple mental model

Logs become easier to investigate when they are split into fields instead of treated as one giant wall of text.

I try to reduce the tool to one question: what input do I have, what output do I expect, and what would make the result unsafe or misleading?

## Step 1: Identify the log format

Identify the log format.

Start with a small example first. A small example is easier to inspect than a real production-sized case.

## Step 2: Paste a small sample first

Paste a small sample first.

## Step 3: Parse JSON Lines, access logs, syslog, logfmt, or plain text

Parse JSON Lines, access logs, syslog, logfmt, or plain text.

## Step 4: Check whether timestamps were detected correctly

Check whether timestamps were detected correctly.

## Step 5: Filter by level, service, request id, or message

Filter by level, service, request id, or message.

## Step 6: Sort or search the table

Sort or search the table.

## Step 7: Use parsed fields to narrow the incident timeline

Use parsed fields to narrow the incident timeline.

## My checklist

Before I trust the result, I check:

- Identify the log format.
- Paste a small sample first.
- Parse JSON Lines, access logs, syslog, logfmt, or plain text.
- Check whether timestamps were detected correctly.
- Filter by level, service, request id, or message.
- Sort or search the table.
- Use parsed fields to narrow the incident timeline.

The tool saves time, but the important part is still understanding the input and reviewing the output before using it somewhere important.