DevOpsLinks

Deploying to prod is easy. Deploying culture? That's the real zero-downtime migration challenge.

The CNCF 2026 survey confirms what most of us already feel:

• 98% of orgs have adopted cloud native
• Kubernetes is now core infrastructure
• GitOps, CI/CD, and automation are everywhere
• OpenTelemetry is the fastest-growing CNCF project
• Hybrid and multi-cloud setups are standard

But behind the tooling, the real story is cultural.

47% of organizations say their biggest challenge isn't tech - it's team dynamics, alignment, and leadership support.

Turns out the hardest part of cloud native isn't Kubernetes. It's humans with opinions!

Cloud native is no longer just about clusters, pods, pipelines, and APIs. It's about how teams work, change, and scale together (and it was).

Have a great week!
Aymen

Sharp edges everywhere: supply chain cracks in trusted pipelines, bot virality turning into breach vectors, and ops going SSH-less by design. From nanoservices pragmatism to 98 percent cloud native reality, it all points to discipline over convenience; details inside.

🔓 CodeBreach: Supply Chain Vuln & AWS CodeBuild Misconfig
🛰️ I Cannot SSH Into My Server Anymore (And That’s Fine)
🚨 Moltbot Personal Assistant Goes Viral, And So Do Your Secrets
🧩 Nanoservices: Why Serverless Got Architecture Right
🛠️ OpenClaw - Former Moltbot, Former Clawdbot - Went Viral Overnight. Then Security Reality Hit.
🕷️ Supply-chain risk of agentic AI - infecting infrastructures via skill worms
📊 The Cloud Native Tipping Point: What 689 Companies Just Revealed

Stay sharp and ship with intent.

Take care!
FAUN.dev() Team

OpenClaw just dropped the corporate mask. New name, new direction. Support now spans Twitch, Google Chat, plus toys like KIMI K2.5 and MiMo-V2-Flash. Still all in on self-hosting, maybe even more so.

Version 2026.1.29 patched a nasty auth bypass flaw (CVE-2026-25253). Gateway connection checks are tighter now. Better late than never.

CNCF’s latest survey drops a clear signal: 98% of orgs run cloud native now. Kubernetes isn’t just popular - it’s cementing itself as a core infrastructure layer, especially for AI workloads.

Hybrid and multi-cloud setups own the field, but the biggest blocker? Not the tech. It’s the people, internal misalignment just overtook complexity as the top hurdle.

GitOps, CI/CD, automated security, declarative everything, no longer cutting edge. Just baseline.

Uncover how to level-up your GitHub Copilot and VS Code experience from an autocomplete assistant to an intelligent, agentic teammate that can navigate your codebase, execute tasks, reason across files and even manage your GitHub projects.

In Building with GitHub Copilot course, you're not just learning how to use GitHub Copilot. You're exploring a shift in how we write, reason about, and collaborate on code.

Get your copy today!

AI assistants with shell, network, or filesystem "skills" don't just help, they expose. These hooks can run commands before any human checks the model’s output. That means a bigger attack surface. More room for lateral movement. Easier persistence.

In setups where tools like Claude Code run often, it starts looking like a supply chain problem: malicious payloads creeping in through routines we trust and workflows we don’t question.

A fresh take on AWS Lambda and serverless: think nanoservices - tiny, isolated functions instead of chunky microservices.

No shared state or shared runtime but clean separation, lean logic, and fewer ways to screw up scaling.

Where microservices can spiral into spaghetti, nanoservices stay crisp. Each function stands alone. Easier to reason about and easier to maintain.

Wiz Research dropped details on CodeBreach, a serious flaw that cracked open AWS SDK GitHub repos, yes, including the popular JavaScript one. The root problem? Leaky regex filters in CodeBuild pipelines. They missed anchors, so attackers slipped in rogue pull requests, dodged build rules, and stole high-privilege GitHub creds.

A dev ditched their $100/month VPS for a clean, automated CoreOS setup. No SSH. No clicking around. Just Ignition, Podman Quadlets, and Terraform doing the heavy lifting.

It boots from YAML, spins up containers with systemd, and keeps itself fresh with Podman auto-updates, zero-touch, straight from the registry.

Moltbot, the self-hosted AI agent with native hooks for Slack, Telegram, and WhatsApp, exploded from 50-ish to over 3,000 GitHub forks a day after going viral on Jan 24, 2026. It's built around a file-backed workspace and automates everything from code deploys to cloud orchestration.

Cool? Definitely. But then came the leaks.

Exposed credentials from public repos and DockerHub cracked open corporate environments. Why? Weak default configs. No secrets scanning baked in.

Take a break, and get a coffee! Warm your soul with a nice mug perfectly sized black ceramic mug.

An MCP server that seamlessly creates infrastructure diagrams for AWS, Azure, GCP, Kubernetes and more

An open source, self-hosted implementation of the Tailscale control server

ENV management tool, consolidate and manage .env and env variables.

Run OpenClaw, (formerly Moltbot, formerly Clawdbot) on Cloudflare Workers

An embedded key-value database in pure Rust

Did you know that in an etcd cluster every write must be committed by a quorum of members, so a slow disk or overloaded follower can increase overall write latency and even contribute to leader election churn when heartbeats are delayed? A slow WAL fsync - visible as spikes in etcd_disk_wal_fsync_duration_seconds - often points to disk I/O latency issues, and upgrading from burst-credit volumes like AWS EBS gp2 to provisioned-performance types such as gp3 or io2 can reduce tail latency and stabilize commit times. High latency or I/O pressure on any member affects the entire Raft quorum because the leader must wait for a majority to persist entries before acknowledging writes, so improving disk and CPU resources avoids unexpected latency spikes and disruptive elections.

"In the cloud you can rent compute by the second, but you can't rent reliability; if your SLOs can't veto a deploy, they're just wallpaper. DevOps accelerates change, SRE decides when to say no."
SenseiOne

The DevOps and SREs I trust the most keep a private "production ledger": after every incident or risky deploy, they jot down a tiny factual note on what actually failed, the signals they almost missed, and which assumption quietly died. Rereading this ledger before designing a new failure‑handling path forces your instinct to align with reality, so that operability becomes something you can feel, not just architect.