| |
| 🔗 Stories, Tutorials & Articles |
| |
|
| |
| The most severe Linux threat to surface in years catches the world flat-footed |
| |
| |
| Publicly released exploit code for a critical privilege escalation vulnerability in Linux, known as CopyFail (CVE-2026-31431), allows attackers to gain root access across all vulnerable distributions with a single piece of code. The researchers from Theori disclosed the vulnerability 5 weeks after notifying the Linux kernel security team, who patched it in several versions, but many distributions had not yet incorporated the fixes at the time of disclosure. The exploit poses a serious threat to data centers and personal devices, enabling attackers to compromise systems and containers. |
|
| |
|
| |
|
| |
| How incidents can teach us about what’s already working well ✅ |
| |
| |
| A famous optical illusion developed by Edward H. Adelson shows that two squares, despite appearing different in shade, are actually the same gray. This illusion demonstrates how the brain processes light, shadow, and objects when interpreting visual signals from the optic nerve. Studying such illusions can provide insight into how the visual system normally functions, just as analyzing incidents can help identify how systems typically succeed. |
|
| |
|
|
| |
|
| |
| The Human Infrastructure: How Netflix Built the Operations Layer Behind Live at Scale ✅ |
| |
| |
| Netflix has massively scaled its live content, now streaming over nine shows per day with up to 17.9M peak viewers per game, thanks to a complex Broadcast Operations Center, strict transmission quality standards, and a tiered human operations model, including specialized engineering teams and dedicated Control Operators. |
|
| |
|
|
| |
|
| |
| The Silent Failure of Reliability Metrics at Scale: Lessons Learned from a Decade of Broken Metrics |
| |
| |
At scale, observability breaks when SLIs and metrics mix different behaviors and lose clear meaning.
Complexity grows: more event types, extra labels, and rising cardinality. That bloats queries, slows evaluation pipelines, and distorts Prometheus, PromQL, and Elastic metrics.
Why this matters: Teams must treat metrics like paid resources. Constrain index scopes. Curb label cardinality. Preserve SLI semantics. |
|
| |
|
| |
|
| |
| The Software Development Lifecycle Is Dead |
| |
| |
| AI agents collapse the classic SDLC - requirements, design, implementation, testing, review, deployment - into an intent-driven loop. They generate code, tests, and pipelines together. They commit to main. Automated verification runs. Deployment and release split with feature flags. |
|
| |
|
| |
👉 Got something to share? Create your FAUN Page and start publishing your blog posts, tools, and updates. Grow your audience, and get discovered by the developer community. |
