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.
Explore Google Gemini 3 API’s architecture, native multimodality, and agentic workflows with a hands-on guide to building a production-ready multimodal AI.
How cloud-native microservices transform insurance analytics by enabling scalability, real-time processing, and seamless modernization of legacy platforms.
Presents a slightly different use of WebSockets — an action is taken at the front-end level when the HTTP session expires, and the back-end signals it.
Server automation is largely solved, but networks remain manual due to multi-vendor complexity. Here’s a Python-based solution to automate network operations.