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@faun shared a link, 2 weeks, 5 days ago

Becoming a Research Engineer at a Big LLM Lab - 18 Months of Strategic Career Development

To land a big career role like Mistral, mix efficient **tactical** moves (like LeetCode practice) with **strategic** ups, like building a powerful portfolio and a solid network. Balance is key; aim to impress and prepare well without overlooking the power of strategy in shaping a successful career...

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@faun shared a link, 2 weeks, 5 days ago

Shai-Hulud npm Supply Chain Attack

Malicious npm packages just leveled up: this one dropped a self-spreading worm that hijacks repos and leaks secrets the moment it lands. It abuses `postinstall` scripts to run TruffleHog and swipe tokens straight from your codebase. Then it uses GitHub Actions to exfiltrate the loot and auto-publis..

Shai-Hulud npm Supply Chain Attack
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@faun shared a link, 2 weeks, 5 days ago

Demystifying Log Retention in Azure

Azure logs come in three flavors: **Activity Logs**, **Diagnostic Logs**, and **Log Analytics**. Each with its own rules for retention and billing. The catch? Those differences aren’t quirks—they’re baked in...

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@faun shared a link, 2 weeks, 5 days ago

Observability for the Invisible: Tracing Message Drops in Kafka Pipelines

When an event drops silently in a distributed system, it is not a bug, it is an architectural blind spot. Detect, debug, and prevent message loss in Kafka-based streaming pipelines using tools like OpenTelemetry, Fluent Bit, Jaeger, and dead-letter queues. Make sure observability gaps in event strea..

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@faun shared a link, 2 weeks, 5 days ago

How FinOps Drives Value for Every Engineering Dollar

Duolingo’s FinOps crew didn’t just track cloud costs—they wired up sharp, automated observability across 100+ microservices. Real-time alerts now catch AI and infra spend spikes before they torch the budget. They sliced TTS costs by 40% with in-memory caching. Dumped pricey CloudWatch metrics for P..

How FinOps Drives Value for Every Engineering Dollar
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@faun shared a link, 2 weeks, 5 days ago

Top 30 Argo CD Anti-Patterns to Avoid When Adopting Gitops

A teardown of Argo CD anti-patterns calls out 28 common misfires—stuff like skipping Git for Application CRDs or stuffing Helm/Kustomize config right into Argo CD manifests. Yikes. It pushes for a cleaner setup: use **ApplicationSets** instead of rolling your own YAML, turn on **auto-sync/self-heal..

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@faun shared a link, 2 weeks, 5 days ago

Introducing DigitalOcean Organizations, a new and comprehensive account layer

DigitalOcean just dropped **Organizations**—a real upgrade for anyone juggling multiple Teams. Think one top-level account to rule them all: centralized user control, one invoice to track, and org-wide settings for taxes, credits, and permissions...

Introducing DigitalOcean Organizations, a new and comprehensive account layer
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@faun shared a link, 2 weeks, 5 days ago

What are Error Budgets? A Guide to Managing Reliability

OneUptime shows how to put **error budgets** to work—keeping feature velocity in check without tanking reliability. The goal: ship fast, stay within SLOs. They do it by tracking **burn rates**, syncing across teams, and tuning SLOs to match how users actually use the product. Less guesswork, more s..

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@faun shared a link, 2 weeks, 5 days ago

v1.34: Pod Level Resources Graduated to Beta

Kubernetes v1.34 bumps **Pod Level Resources** to Beta—and flips them on by default. Now you can set CPU, memory, and hugepages limits for the whole Pod, not just per container. That means smoother scheduling, stricter resource caps, and less sidecar thrashing. **Why it matters:** This shifts Kuber..

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@faun shared a link, 2 weeks, 5 days ago

Why Rancher's Founders Pivoted From Kubernetes to Agentic AI

Obot.ai just dropped out of stealth with $35M in seed and a big swing: it’s building a control plane for agentic AI, anchored on the now-standard **Model Context Protocol (MCP)**. Its **MCP Gateway** handles registry, secure proxying, RBAC, and observability for MCP servers. Think API gateway, but ..

Why Rancher's Founders Pivoted From Kubernetes to Agentic AI
bugfree.ai is an advanced AI-powered platform designed to help software engineers master system design and behavioral interviews. Whether you’re preparing for your first interview or aiming to elevate your skills, bugfree.ai provides a robust toolkit tailored to your needs.

Key Features:

150+ system design questions: Master challenges across all difficulty levels and problem types, including 30+ object-oriented design and 20+ machine learning design problems.
Targeted practice: Sharpen your skills with focused exercises tailored to real-world interview scenarios.
In-depth feedback: Get instant, detailed evaluations to refine your approach and level up your solutions.
Expert guidance: Dive deep into walkthroughs of all system design solutions like design Twitter, TinyURL, and task schedulers.
Learning materials: Access comprehensive guides, cheat sheets, and tutorials to deepen your understanding of system design concepts, from beginner to advanced.
AI-powered mock interview: Practice in a realistic interview setting with AI-driven feedback to identify your strengths and areas for improvement.

bugfree.ai goes beyond traditional interview prep tools by combining a vast question library, detailed feedback, and interactive AI simulations. It’s the perfect platform to build confidence, hone your skills, and stand out in today’s competitive job market.

Suitable for:

New graduates looking to crack their first system design interview.
Experienced engineers seeking advanced practice and fine-tuning of skills.
Career changers transitioning into technical roles with a need for structured learning and preparation.