Series Week 25 of 52 : API Logging - The Infosec headache of maintaining the logs - The Oracle solution

{ Abhilash Kumar Bhattaram : Follow on LinkedIn }

This week I'm blogging about a logging headache , a seemingly trivial topic but a data management nightmare. This blog is a about a CTO understanding a data management issue and ways to solve it.

For DBA & Technical Architects I have blogged about this earlier for 23ai , the same applies to 26ai as well. ( Blog below )

In a high-velocity digital ecosystem, managing the architectural balance between deep corporate visibility and system predictability is a constant tightrope walk. Your CISO and InfoSec teams rightfully require a "digital flight recorder" an un-omitted ledger capturing the precise request and response headers, tokens, and payloads across your entire application ecosystem to adhere to rigorous SOC2, PCI-DSS, or RBI/IRDAI mandates. However, when an application scales to millions of transactions per day, treating these highly structured, deeply nested API payloads as generic text inputs introduces a severe system-level performance tax.

Let me take explain this in 5 points