Technical articles, research papers, and thought leadership on cloud architecture, AI, and software engineering.
O'Reilly Radar · 2025
Comprehensive guide on how to build trustworthy AI systems by turning governance into code. Covers agent safety patterns, guardrail architectures, and practical frameworks for deploying responsible AI in production.
InfoQ · 2026
How to extend Docker for enterprise-grade observability, with real-world patterns and best practices for production environments. Covers metrics, tracing, and logging strategies for containerized workloads.
Cloud Native Now · 2025
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.
DZone · 2024
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.
DZone · 2024
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.
DZone · 2025
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.
DZone · 2024
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.
DZone · 2024
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.
HackerNoon · 2024
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.
HackerNoon · 2024
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.
HackerNoon · 2024
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.
IEEE Xplore, 2025
Secure and collaborative credit scoring in multi-cloud banking using homomorphic encryption. Addresses privacy, data sharing, and regulatory compliance in financial institutions.
IEEE Xplore, 2025
Presents an AI-driven framework for real-time API threat detection in cloud environments, combining Isolation Forest anomaly detection with SHAP for explainable, transparent security analytics.
TechRxiv/ACM, 2025
Policy-as-code framework for automated cloud misconfiguration remediation with human-centered explanations and reproducibility.
ACM Digital Library, 2025
AI-augmented cyber lab platform for adaptive security training in cloud-native environments, integrating LLMs and RL agents for dynamic instructional support.
IEEE Xplore, 2025
NetSage: a self-supervised learning framework for real-time anomaly detection in encrypted network traffic using flow-level metadata and temporal features.
IEEE Xplore, 2025
Zero Trust Architecture for enhanced security in cloud-based systems, addressing dynamic workloads, multi-cloud services, and enterprise IT infrastructure.
Springer, 2026
Practical guide to engineering secure, scalable, and responsible AI for real-world applications. Covers AI system design, security, scalability, and deployment best practices.
Springer, 2026
Critical themes in the evolving intersection of cloud computing and artificial intelligence. Focuses on generative AI, security, and sustainability in modern cloud environments.
In: Trustworthy AI Systems: Engineering Secure, Scalable, and Responsible Intelligence for Real Applications (Springer, 2026)
Foundations and practicalities of AI governance, accountability, transparency, fairness, and human oversight. Reviews frameworks and provides real-world case studies.
In: Revolutionizing the Cloud: Generative AI, Security, and Sustainability (Springer, 2026)
Evolution of data privacy and governance in the era of AI and cloud computing. Reviews global privacy laws, privacy risks, and guidance for secure, responsible AI-cloud systems.