Cloud-Native Development

Scaling AI safely means going cloud native — using CNCF tools to keep workloads portable, secure, and under your control ...

Serverless monitoring demands a new approach, combining structured logs, meaningful metrics and distributed traces with advanced cost controls and automation to keep applications fast, resilient and efficient ...

The future of Kubernetes is a hot topic in the cloud-native community, but a “Kubernetes 2.0” is not a reality yet. The Kubernetes project continues to evolve in a measured way, with ...

The direction of travel is toward autonomous contact centers, where systems self-heal, auto-optimize and predict customer needs before they arise ...

Companies can — and should — be better stewards of the open source projects they rely on. Financially support them. Contribute back code ...

Alan asks: Is AI overshadowing progress in cloud-native, or is it actually accelerating it? Four ways AI is making cloud-native smarter ...

Anthropic is using its own Claude Code agentic coding tool to help its teams with coding tasks and to master preexisting code understanding ...

The best way to prototype is to start by running the models locally. In this article, we will explore the various options available for running models locally, along with the trade-offs involved ...

After 15 turbulent years, Dynatrace is not just back on top and basking in the sun, but redefining what the top looks like ...

The latest mid-year snapshot from the Cloud Native Computing Foundation (CNCF), based on contributions from July 1, 2024, to July 1, 2025, confirms that Kubernetes remains firmly planted on the throne with ...