Create a zero-cost AI application quickly using Ollama and Java with Spring AI — with no extra costs and full compatibility with other LLMs like OpenAI.
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.
Traditional centralized data lakes don’t scale for AI. A Data Mesh not only decentralizes data ownership by domain but also enforces federated governance.
Cloud systems scale — but unchecked, they can bankrupt you. Measure, automate, and optimize costs to keep your infrastructure resilient and your budget intact.
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?
Troubleshoot Kubernetes database connectivity using a layered diagnostic framework and achieve rapid root-cause identification and production stability.
Docker’s cagent is a new open-source, low-code/ YAML-centric AI agent builder and runtime. Instead of writing code, you describe agents and cagent runs them.
End-to-end testing fails in microservices due to non-determinism, complex environments, slow feedback, and unclear ownership, making tests flaky and unreliable.