🔍 Inside this Issue
Infra is pulling in opposite directions: one team dumps AWS for bare metal and saves $1.2M, while AWS lays its own transatlantic fiber to feed the beast. Along the way, tracing hooks into LLMs, zero trust drops the sidecars, Compose holds its ground in prod, and even Linux gets an API—with a legal curveball for AI-written code—let’s dig.
💾 AWS to Bare Metal Two Years Later: Answering Your Toughest Questions About Leaving AWS
🌊 AWS Unveils Fastnet Cable to Boost Transatlantic Cloud Connectivity
⚖️ FSF Talks GPL Compliance and AI Code at GNU Cauldron
🧠 Grafana Tempo 2.9 Supercharges Distributed Tracing with LLM Integration
🖥️ IncusOS Launches: A Secure, API-Driven Linux for Servers and VMs
🔬 Perfetto: Swiss Army Knife for Linux Client Tracing
🤖 Pulumi’s Neo Now Fixes Infra Policy Violations - Not Just Flags Them
🧭 VMware Cloud Foundation – what’s actually going on?
🐳 Why I Like Using Docker Compose in Production
🔐 Zero Trust with Cilium : Enforcing mTLS in Kubernetes
Ship safer, cheaper, faster—your future self will thank you.
Have a great week!
FAUN.dev() Team
ℹ️ News, Updates & Announcements

faun.dev
Grafana Tempo 2.9 ships with experimental support for the Model Context Protocol (MCP) server. That means LLMs can now hook directly into distributed tracing via TraceQL—no duct tape required.
Big leap: probabilistic TraceQL metrics sampling gets dynamic controls, so you can fine-tune what flows through. Search and query speeds? Faster. Multi-tenant trace visibility? Now with clearer metrics.

faun.dev
IncusOS dropped on Nov 7. It's built on Debian 13, but that’s where the similarities end. Think: atomic A/B updates, TPM 2.0, no shell, no frills - just a clean API with strict TLS/OIDC auth.
It's aimed squarely at servers and VMs. Image-based deploys. Hands-free auto-installs. Smooth integration with Linstor, Netbird, and Incus Deploy for building out hybrid environments.

faun.dev
Pulumi Neo now fixes policy violations on its own - using AI to patch your IaC. You can gate it behind approvals if you want, and it plays nice across clouds. Enforcement works both during deploys and in post-hoc scans. It supports the big compliance frameworks too.
Need help writing policies? Neo’s got real-code suggestions on tap.

faun.dev
At GNU Tools Cauldron, Krzysztof Siewicz dug into the legal mess swirling around LLM-generated code—who owns it, how to license it, and what happens when you skip attribution. Right now, AI-assisted code is skating on thin legal ice.
System shift: LLMs aren’t just writing code—they’re rewriting the rules. Licensing and compliance need a reboot.

faun.dev
AWS just dropped plans for Fastnet - a 320 Tbps transatlantic cable stretching from Maryland to Ireland by 2028. It’s AWS’s own pipe this time, built with optical switching and a scalable architecture. Translation: fewer bottlenecks, more control, and instant upgrades when traffic spikes.
This a shift: AWS is stacking its global backbone to handle the raw, high-speed firepower AI and cloud-native systems demand. No middlemen..
🔗 Stories, Tutorials & Articles

redmonk.com
The interview with Prashanth Shenoy, vice president of product marketing in the VMware Cloud Foundation (VCF) Division of Broadcom, sheds light on the integration between the two companies. Shenoy discusses the shift to subscription-based pricing and the simplification of VMware's product portfolio. Despite confusion and pushback in the market, Broadcom claims to have lowered prices for customers.

oneuptime.com
OneUptime ditched the cloud bill and rolled their own dual-site setup. Think bare metal, orchestrated with MicroK8s, booted by Tinkerbell, patched together with Ceph, Flux, and Terraform. Result? 99.993% uptime and $1.2M/year saved - 76% cheaper than even well-optimized AWS.
They run it all with just ~14 engineer-hours/month. Thanks, Talos. The cloud's still in play, but only where it helps: archival, CDN, and burst capacity.

lalitm.com
Perfetto now pulls in mixed trace data - perf samples, scheduler events, app-level instrumentation - and lines it all up on a single timeline. One view, no silos.
It reads trace-cmd’s text format now, with smoother flame graphs, sharper bottom-up views, and SQL-powered filtering baked right into the UI.

nickjanetakis.com
A decade in, and this dev still rides with Docker Compose for production. Why? It just works. Clean deployments, solid uptime, same setup everywhere. No yak-shaving.
It shines when you pair it with Git hooks for hands-off, zero-downtime deploys. No need to drag in Kubernetes unless you’re actually wrangling a fleet.