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.
Deploy a production-ready Spring Boot microservice on AWS Fargate with Docker, ECS, ALB health checks, private subnets, secrets, CI/CD, and autoscaling.
Loop engineering makes agents act repeatedly. Security decides which inputs, credentials, memories, evaluators, and triggers are allowed to influence action.
Trust Surface framework for measuring risks from trusted identities, credentials, AI agents, and third-party integrations beyond the traditional attack surface.
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.
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