Inspect and Filter Structured Log Exports.

Open a structured CSV log export in DataOlllo, inspect its columns, filter status codes or request IDs, and export relevant records for an investigation. Unstructured text logs may need parsing into columns first.

Download for DevsDownloads standard DataOlllo PC App

Extract Insights. Skip the Regex.

BEFORE

Piping grep, awk, and sed in terminal.

bash - user@server:~

$ cat production.log | grep "500 Internal" | awk '{print $4, $9}' | sed -e 's/\[//g'

Processing... (Hangs for 5 minutes)

awk: syntax error at source line 1

context is

>>> {print <<< $4, $9}

↓

AFTER

Visual Log Parsing. Instant Filters.

Filter: Status == 500 AND Environment == "Prod"

Timestamp

Service

Error Message

2026-03-27T10:15

auth-api

NullPointer exception in TokenVerify

2026-03-27T10:16

payment-svc

Connection timeout to DB

15GB Log File Loaded in 2.3s

Built for Engineering Workflows

Visual Log Filtering

Filter existing status, user ID, and message columns in tabular exports. Start with the large CSV filter workflow and verify that missing values are handled as intended.

Check Your Input Structure

Use a tabular export with one record per row. Nested JSON and multiline stack traces can require preprocessing; inspect a sample before assuming each event became a complete row.

Incident Analysis

Group logs by session ID and find exactly what happened leading up to a production crash without fighting your query language.

Keep your PII logs offline.

Analyze sensitive production logs locally.
Standard CSV operations do not require a cloud upload. Optional online AI features have separate data flows; review them before including secrets or personal identifiers.

Download Now →