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@laura_garcia shared a post, 3 months, 2 weeks ago
Software Developer, RELIANOID

🚗🔒 Automotive Cybersecurity: Connected Cars, Connected Risks

Modern vehicles are no longer just machines — they’re connected devices storing data, running AI-driven assistants, and linked to vast supply chains. But with innovation comes new threats: from remote car hacking to ransomware attacks targeting manufacturing lines. Recent incidents — like the cybera..

Blog_Automotive Cybersecurity_relianoid
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@laura_garcia shared a post, 3 months, 2 weeks ago
Software Developer, RELIANOID

Huge thanks to Design Tech Solutions for publishing an article about RELIANOID! 📰 🤩

They explore how the RELIANOID Load Balancer enhances maritime cybersecurity, helping secure connected vessels, ports, and critical infrastructure. Read the full article here: https://www.relianoid.com/about-us/relianoid-related-articles/ #MaritimeCybersecurity#CyberSecurity#ConnectedShipping#LoadBa..

design tech solutions Article
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@anjali shared a link, 3 months, 2 weeks ago
Customer Marketing Manager, Last9

7 Observability Solutions for Full-Fidelity Telemetry

A quick guide to how seven leading observability tools support full-fidelity telemetry and the architectural choices behind them.

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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

We are replacing OOP with something worse

Object-oriented programming didn’t die - it evolved. Now it lives in the guts of infrastructure. Services talk through strict interfaces, crossing process and network lines like pros. Classes and objects? They're nowOpenAPI schemas,Docker containers, andKubernetes clusters- same old encapsulation ga.. read more  

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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

Why is Zig so Cool?

Zig bringscross-compilationandC interoperabilityto the forefront - no extra setup, no toolchain fuss. It builds across architectures, links with C code like it was born to, and skips headers entirely. Its real flex?Compile-time execution, sharperror handling, and azero-fat runtime. All wrapped in a .. read more  

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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

How the classic anime 'Ghost in the Shell' predicted the future of cybersecurity 30 years ago

“Ghost in the Shell” turned 30 this week. Still hits hard. Back in 1989, it dropped cyberpunk bombs that would take the real world decades to catch up with: government-grade AI hackers, behavior-based intrusion detection, malware tailored for humans, and remote code attribution that vanishes into th.. read more  

How the classic anime 'Ghost in the Shell' predicted the future of cybersecurity 30 years ago
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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

Programming Languages in the Age of AI Agents

GitHub Copilot and friends tend to shine in languages with rich static types - think Rust or Scala. Why? The compiler does the heavy lifting. It flags mistakes fast, keeps structure tight, and gives the AI sharper signals to riff on. But drop that agent into a sprawling legacy repo, and cracks show... read more  

Programming Languages in the Age of AI Agents
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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

The (lazy) Git UI You Didn't Know You Need

Lazygit is a snappy terminal Git UI that’s picking up steam - and for good reason. It streamlines common tasks like staging, rebasing, and patching without dragging you through clunky menus. The interface sticks close to native Git commands but adds just enough structure to reduce context switches a.. read more  

The (lazy) Git UI You Didn't Know You Need
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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

Your URL Is Your State

Modern frontend apps love to complicate state. But they keep forgetting the URL - shareable, dependency-free, and built for the job. This piece breaks down how a well-structured URL can capture UI state, track history, and make bookmarking effortless. NolocalStorage. No cookies. No bloated global st.. read more  

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@varbear shared a link, 3 months, 2 weeks ago
FAUN.dev()

ChatGPT as My Coding Mentor: How I Learned React and Next.js as a Junior Developer

A junior dev leveled up their React and Next.js chops just by writing better prompts. Big wins came from getting specific - like stating their skill level, asking for analogies, and stacking questions to unpack how Next.js splits client and server. Trend to watch:Prompting is a core dev skill for an.. read more  

ChatGPT as My Coding Mentor: How I Learned React and Next.js as a Junior Developer
k3d is an open-source utility designed to simplify running Kubernetes locally by wrapping K3s (Rancher’s lightweight Kubernetes distribution) inside Docker containers. Instead of creating virtual machines, k3d uses Docker as the execution layer, allowing developers to spin up multi-node Kubernetes clusters in seconds using minimal system resources.

k3d is especially popular for local development, CI pipelines, demos, and testing Kubernetes-native applications. It supports advanced setups such as multi-node clusters, load balancers, custom container registries, port mappings, and volume mounts, while remaining easy to tear down and recreate.

Because it uses K3s, k3d inherits a simplified control plane, bundled components, and reduced memory footprint compared to full Kubernetes distributions. This makes it ideal for developers who want a realistic Kubernetes environment without the overhead of tools like Minikube or full VM-based clusters.

k3d integrates cleanly with common Kubernetes workflows and tools such as kubectl, Helm, Skaffold, and Argo CD. It is frequently used to validate manifests, test Helm charts, and simulate production-like environments locally before deploying to cloud or on-prem clusters.