Cloud-Native Development
Tailscale + Kubernetes: The Ultimate Guide to Zero-Trust Networking in Your Home Lab
In this guide, we will show how to combine Tailscale, a WireGuard-based mesh VPN, with Kubernetes to create a secure, zero-trust network for your home lab ...
SUSE Adds Arm Support to HCI Platform for Running Monolithic Apps on Kubernetes
SUSE has generally made available an update to its platform for running monolithic applications designed for hyperconverged infrastructure (HCI) environments on top of Kubernetes clusters that now supports both 64-bit Arm and ...
CNCF Cloud-Native Frameworks Accelerate AI Readiness
Scaling AI safely means going cloud native — using CNCF tools to keep workloads portable, secure, and under your control ...
Serverless Monitoring Best Practices
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 ...
Kubernetes, AI, APIs, and YAML – A Future 2.0?
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 ...
Why Cloud-Native Contact Centers Are Becoming an Industry Standard
The direction of travel is toward autonomous contact centers, where systems self-heal, auto-optimize and predict customer needs before they arise ...
Open Source Isn’t Free: The Sustainability Crisis in Cloud-Native
Companies can — and should — be better stewards of the open source projects they rely on. Financially support them. Contribute back code ...
Has AI Hijacked Cloud-Native Innovation?
Alan asks: Is AI overshadowing progress in cloud-native, or is it actually accelerating it? Four ways AI is making cloud-native smarter ...
How Anthropic Dogfoods On Claude Code
Anthropic is using its own Claude Code agentic coding tool to help its teams with coding tasks and to master preexisting code understanding ...
Open Source Tooling to Run Large Language Models Without GPUs Locally
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 ...

