Technical articles, research papers, and thought leadership on cloud architecture, AI, and software engineering.
Published on: Cloud Native Now
Comprehensive guide on securing AI agents in cloud-native environments using Docker containers, Model Context Protocol (MCP), and cAgent framework. Covers best practices for container security, secure communication between AI components, and building trusted AI workflows at scale.
Published on: DZone
Practical guide to deploying Large Language Models using Docker, covering containerization strategies, resource optimization, model versioning, and production-ready deployment patterns. Includes best practices for GPU allocation, model serving, and scaling LLM workloads.
Published on: DZone
Deep dive into scaling WebRTC applications on Google Kubernetes Engine (GKE), featuring GPU-accelerated media processing, real-time monitoring with Prometheus, and custom latency-based autoscaling strategies to maintain quality of service at scale.
Published on: DZone
Explores deploying AI agents using Docker Compose for local development and implementing cloud offload strategies for production workloads. Covers hybrid deployment models, workload distribution, and optimizing costs by intelligently moving compute between local and cloud environments.
Published on: DZone
Comprehensive guide to implementing API threat analytics in cloud environments. Covers threat detection patterns, anomaly detection using machine learning, security monitoring, and building a robust API security posture with real-time analytics and automated response mechanisms.
Published on: DZone
Detailed migration guide for moving Apigee Edge ExtensionCallout policies to Google Cloud. Includes migration strategies, code transformation patterns, testing approaches, and best practices for ensuring zero-downtime migration of API management infrastructure.
Published on: HackerNoon
Step-by-step guide to implementing zero-downtime deployments using Akamai Global Traffic Management. Covers multi-region load balancing strategies, health checks, failover configurations, and achieving high availability across geographically distributed infrastructure.
Published on: HackerNoon
Explores confidential computing on Kubernetes using Google Cloud's Trusted Execution Environments (TEEs). Covers securing data in use, implementing confidential containers, hardware-based encryption, and building secure multi-tenant Kubernetes clusters with enhanced data protection.
Published on: HackerNoon
Security analysis of the GH0STEDIT attack vector targeting Docker container images. Reveals how attackers exploit Docker's layered filesystem to hide malicious code, detection techniques, and best practices for securing container image supply chains and preventing layer-based attacks.