Join us

ContentUpdates and recent posts about Syself Autopilot..
Link
@varbear shared a link, 1 week ago
FAUN.dev()

Skill Issues: How We Discovered Supply Chain Attack Vectors in an AI Agent Skills Marketplace

Orca Security researchers identified four attack primitives in an AI coding-agent skills marketplace: install-count inflation without authentication, security scans at creation and popularity thresholds, same-name overrides without user alerts, and bulk updates without per-skill review or version pi.. read more  

Skill Issues: How We Discovered Supply Chain Attack Vectors in an AI Agent Skills Marketplace
Link
@varbear shared a link, 1 week ago
FAUN.dev()

I Deleted My Clever Code and the Database Got Better

A first-person walkthrough of rewriting an embedded key-value store after a friend spotted that the lock-free ring buffer was writing to a slot before claiming ownership, with the rebuilt single-mutex version 76 lines smaller, more correct, and explicit about every tradeoff (fsync on every write, no.. read more  

Link
@varbear shared a link, 1 week ago
FAUN.dev()

Slop Creep: The Great Enshittification of Software

The argument is that coding agents accelerate codebase decay by removing the natural speed limit on bad architectural decisions, compressing months of compounding mistakes into days. The defense is to invest ten times more in the planning phase, with concrete code snippets for the data models and ab.. read more  

Link
@kaptain shared a link, 1 week ago
FAUN.dev()

CNCF Project Antrea Compromised in Daring GitHub Attack

A throwaway GitHub account compromised CNCF projectAntrea's Jenkins infrastructure on May 2 by opening a malicious PR and firing/test-*slash-commands that detonated the workflow against PR-fork code with credentials in scope. The same operator ran parallel campaigns against at least seven other proj.. read more  

CNCF Project Antrea Compromised in Daring GitHub Attack
Link
@kaptain shared a link, 1 week ago
FAUN.dev()

How Cloud Native Infrastructure Powers AI on Kubernetes

A vendor piece from Mirantis arguing that GPU multi-tenancy on Kubernetes is widely misrepresented, with most platforms shipping namespace-based isolation while production GPU clouds require hardware-enforced separation through MIG partitioning, cluster-per-tenant architecture, and DPU-based network.. read more  

How Cloud Native Infrastructure Powers AI on Kubernetes
Link
@kaptain shared a link, 1 week ago
FAUN.dev()

v1.36: Moving Volume Group Snapshots to GA

Volume group snapshots reachedGAin Kubernetesv1.36, with the API promoted togroupsnapshot.storage.k8s.io/v1. The feature lets aVolumeGroupSnapshotobject take crash-consistent snapshots across multiple PVCs selected by label, removing the need to quiesce applications that span separate data and log v.. read more  

Link
@kaptain shared a link, 1 week ago
FAUN.dev()

v1.36: Server-Side Sharded List and Watch

Alpha inv1.36, server-side sharded list and watch adds ashardSelectorfield toListOptionsso the API server uses an FNV-1a hash onmetadata.uidormetadata.namespaceto send each controller replica only its slice of the resource collection. This eliminates the cost of every replica deserializing the full .. read more  

Link
@kaptain shared a link, 1 week ago
FAUN.dev()

v1.36: Declarative Validation Graduates to GA

Declarative validation graduated toGAin Kubernetesv1.36, replacing handwritten Go validation with+k8s:marker tags on field definitions... read more  

Link
@kala shared a link, 1 week ago
FAUN.dev()

How We Built an AI Second Brain for 60K Knowledge Workers

Meta built an AI agent system internally called the AI Second Brain that now has over 63,000 installs and ~10,000 daily active users across engineering, PM, design, legal, finance, comms, and sales, growing from zero in roughly three months after a non-technical PM's adoption post. The architecture .. read more  

How We Built an AI Second Brain for 60K Knowledge Workers
Link
@kala shared a link, 1 week ago
FAUN.dev()

Orchestrating AI Code Review at scale

Cloudflare engineers built an AI code review platform on OpenCode. They split GitLab integration, model providers, prompts, and policy into separate plugins. A coordinator assigns up to seven domain reviewers across security, performance, code quality, documentation, release checks, and AGENTS.md co.. read more  

Orchestrating AI Code Review at scale
Syself Autopilot takes care of the entire lifecycle of clusters, from provisioning to scaling, updates and other day-2 tasks. Free up your teams to work on what really matters . Use Kubernetes, don't manage.

For companies in need of tailored services, we have a dedicated team of experts in delivering cloud-native software and enterprise-grade infrastructure configuration.

Why Choose Syself:
• We've built and maintained the most popular Cluster API Provider, that manages thousands of servers in production at Hetzner
• We actively participate in the Kubernetes community, contributing to other provider integrations and the Cluster API project, ensuring alignment with community standards
• We have a team of experts distributed in 4 continents, aways ready to assist you with urgent issues or tailored advice
• We've won a public tender from the German government to build a Kubernetes-as-a-service framework for managing cluster lifecycle, aiding the government and agencies to use Cluster API

About Syself Autopilot:
• Pre-built, immutable base for 100% reproducible clusters
• Declarative, idempotente cluster definition as Kubernetes resources
• Fully compatible with GitOps and other Kubernetes-native tools
• GDPR compliant
• One click or automated upgrades of clusters, including OS, Kubernetes control and data planes and add-ons
• Self-healing: automated issue detection and fixes, without human intervention
• Users own the entire infrastructure, including control planes