How to do clever crap with tools from Oninit
This technical session will cover a set of tools developed by Oninit, some of which are candidates for open source release. The first tool, logripper, is built on top of the Informix Change Data Capture (CDC) APIs and is designed to extract logical log data efficiently. It can decode and transform log records into multiple output formats, making it useful for auditing, troubleshooting, replication, and downstream data processing use cases. The tool provides flexible filtering and formatting options, allowing users to target specific transactions, tables, or operations.
The second tool is an AF analyzer, a rules-based parser focused on Informix Assertion Failure (AF) files. It scans and interprets AF outputs to identify known patterns, anomalies, and potential root causes. By applying a configurable rule set, the analyzer can highlight likely issues, correlate symptoms, and assist in faster diagnosis of engine problems. This helps reduce the time required to triage incidents and improves consistency in analysis across environments.
Bio: Paul Watson has been using Informix for 35 years, moving to consultancy after 5 years. Along with three other consults formed Oninit (UK), and eventually Oninit (US) in 2006. Paul travels globally specializing in ER, Timeseries and UDR work. Building a Data Warehouse with Informix and MariaDB.