Cosmos DB stores durable state; Redis acts as a coordination layer, enabling predictable, stateless scaling without sticky sessions, strong consistency, or high costs.
Agent observability is often missing in the rush to build AI agents. NeMo adds observability to AI agents, helping trace, evaluate, and debug multi-agent workflows.
A full walkthrough of how to set up Docker sandboxes on a local machine and how to run AI agents safely in YOLO mode without corrupting the host environment.
Choosing a base Linux image for containers is not just about the size. It is also about licensing, compatibility, update cadence, security posture, and support options.
Why environment variables leak, how Docker Swarm secrets work, when to use HashiCorp Vault, and building a layered approach to secrets in production containers.
Deploy and tune Apache Spark on AmpereOne M, with setup steps, cluster configs, and benchmarks showing gains vs Ampere Altra in performance and efficiency.
Securely connect to a MongoDB DocumentDB replica set in Kubernetes using mongosh with credentials retrieved dynamically from Kubernetes secrets for direct access.
Tuning Java on Kubernetes (Arm64): align CPU/memory limits with JVM, use container-aware settings, optimize placement, and leverage OS tuning for better performance.
At GTC 2026, Jensen Huang, Aravind Srinivas, Harrison Chase, Mira Murati, and Michael Truell made a compelling case that the future of AI belongs to open agent systems, not just open models.
Kubernetes is becoming the backbone of multimodal AI — combining GPUs, smart schedulers, and model-serving tools to run text, image, etc., cost-effectively.
Tested K8s 1.35's four key features on Azure VM: zero-downtime pod resizing, gang scheduling, structured auth, and node capabilities. All scripts and configs on GitHub.
While many developers run containers on bare metal in development, in production, it's almost all VMs. What does this mean for the broader cloud landscape?