Most teams log, but log badly: wrong severity levels, no trace IDs, inconsistent fields, and logs siloed from traces. Fix that, and incidents go from hours to minutes.
GraphQL was good at a time, then it simmered off. Is GraphQL about to make a comeback because of AI? Will GraphQL be able to serve better for AI Agents?
In this article, I will be introducing a pipeline designed to identify sensitive data columns before masking steps and improve the efficiency of the data masking process.
A zero-trust framework for cloud migrations, grounded in real enterprise deployment lessons. Perimeter security doesn't hold up once workloads move to the cloud.
A launch traffic spike hit cold-loaded LLM containers; shared-memory crashes and KV-cache OOMs taught us why GPU autoscaling needs warm floors, not reactive scaling.
AI agents don't break your API rules; they expose the ones you never enforced. This article covers five gateway-level controls that bring autonomous agents under control.
Learn how to build realistic JMeter load tests with production traffic patterns, distributed testing, session modeling, and security performance analysis.
Why enterprise AI agents fail on production data, and a runtime governance pattern using data contracts, lineage signals, and guardrails to prevent it.
This guide demonstrates exchanging an AWS SigV4 Request for a GCP access token to enable secure, zero-trust communication between clouds using MultiCloudJ.
Learn how to containerize a Python backtesting system with Docker, automate testing with GitHub Actions, and improve reproducibility through versioned builds.
