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.
Single-layer AI guardrails hit a 40% false-positive rate. My five-layer architecture on live AWS achieved 94% accuracy and 0% false negatives on destructive operations.
This guide demonstrates exchanging an AWS SigV4 Request for a GCP access token to enable secure, zero-trust communication between clouds using MultiCloudJ.
Deploy a production-ready Spring Boot microservice on AWS Fargate with Docker, ECS, ALB health checks, private subnets, secrets, CI/CD, and autoscaling.
Azure AI Foundry turns RAG setup from a week of manual plumbing into an afternoon of configuration — but access control, security, and cost planning are still on you.
Microservices succeed when they're designed with clear service boundaries, reliable communication, independent data ownership, and strong operational practices.
Learn how to choose the right API testing framework, including REST Assured, Supertest, pytest, Postman, Karate, and Keploy, for better API test automation.
The latest MCP spec mandates W3C tracing. Use Quarkus and OpenTelemetry to easily visualize disjointed, multi-round-trip AI agent workflows in production.
CI optimization using Git diff and JGit to selectively run impacted Karate tests, reducing regression execution while preserving safe fallback coverage.