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@faun shared a link, 10 months, 3 weeks ago

FAUN.dev()

Atlassian moved 4 million Postgres databases to AWS Aurora

Atlassianpulled off a major coup, relocating 4 million Jira Postgres databases toAWS Aurora. They slashed expenses by taming CPU beasts and carved out a rock-solid 99.99% uptime. A delightful efficiency cocktail. SamsungandTSMCare brooming through some project cobwebs. Samsung's rethinking its Texas.. read more

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@faun shared a link, 10 months, 3 weeks ago

FAUN.dev()

Serving 200 million requests per day with a cgi-bin

UsingGoandRustwith CGI-style requests taps into multi-core CPU might, poking fun at long-held CGI inefficiency myths... read more

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@faun shared a link, 10 months, 3 weeks ago

FAUN.dev()

Insights from paper — Bigtable: A Distributed Storage System for Structured Data

Bigtableisn't just another footnote in Google's lineup. It dominates the data landscape, wrangling petabytes like a charm. Built for atomic row operations and sly tablet splits. Plus, it’s backed by Chubby’s fault-tolerance magic. Picture it as a NoSQL and relational database crossbreed with the fle.. read more

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@faun shared a link, 10 months, 3 weeks ago

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OpenYurt Becomes a CNCF Incubating Project

OpenYurt, a CNCF brainchild, shakes up cloud-edge orchestration. It dances with Kubernetes like Fred Astaire and partners with any vendor under the sun... read more

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@faun shared a link, 10 months, 3 weeks ago

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Understanding Network Packet Offsets & Safe Parsing in eBPF

eBPFandRustteam up to drive a network packet parser that catches packets at breakneck kernel speed. Welcome to the future of observability and security.XDPsteps in, slicing latency to the bone for real-time inspection... read more

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@faun shared a link, 10 months, 3 weeks ago

FAUN.dev()

Building a Cloud Strategy That Delivers

Cloud strategy? It's not about fancy slideshows but shaking up how teams build and deploy. Master new skills. EmbraceSRE practiceslike it's your favorite hobby... read more

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@faun shared a link, 10 months, 3 weeks ago

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GitOps Introduction with Argo CD

GitOpsturns deployment upside down. A cunningpull-basedmethod. Tools likeArgo CDautomate app updates by keeping a hawk's eye on Git repos. Toss those convoluted CD pipelines into the trash. If updates stumble—justGit committo roll back. Safe teamwork—no need to touch the cluster... read more

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@faun shared a link, 10 months, 3 weeks ago

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Caching is an Abstraction, not an Optimization

Cachingdoes more than rev up performance; it cuts through the chaos of software design, making it tidier and more modular. Sure,LRUandLFUsound like they should open for a prog rock band, but their trusty old formulas stand strong against those wild swings in data access... read more

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@faun shared a link, 10 months, 3 weeks ago

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Hewlett Packard Enterprise completes $14B acquisition of Juniper after settlement of DOJ suit

Hewlett Packard Enterprise closed its acquisition of Juniper Networks following the settlement of a lawsuit by the U.S. Department of Justice. This acquisition will allow HPE to expand its networking business and compete in the AI networking market. HPE officials stated that the merger positions the.. read more

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@faun shared a link, 10 months, 3 weeks ago

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Why Kubernetes Throttled My Idle Pods

70% CPU throttlingbaffled me in Kubernetes—minimal CPU usage, yet throttling? Alexandru Lazarev nailed it: ditch the CPU limits. Instant fix. Prometheus paints the spikes, while Grafana smooths them into a bore. Maybe those burstable CPU limits will swoop in to save us soon... read more

Levelop is an interview preparation platform designed specifically for working software engineers (typically with 2–6 years of experience) who want to land jobs at top-tier tech companies.

Instead of just handing you endless lists of problems or passive videos to watch, Levelop uses an active, AI-guided approach to help you build the right mental models for tough technical interviews.

Here is how it works:

Two Specialized AI Mentors: * Orion (Coding AI): Instead of just telling you that your code is wrong, Orion steps in when your code fails, maps out where your knowledge gap is, and guides you to fix it yourself.

Aurora (System Design AI): Rather than making you watch a 40-minute video, Aurora has a live conversation with you to explain foundational system design concepts before you even start drawing on the canvas.

Sprint-Based Practice: You practice in structured loops called "sprints," which combine both Data Structures & Algorithms (DSA) and system design problems.

Actionable Feedback Loop: At the end of every sprint, you receive a detailed report. It scores your technical skills, gives you a behavioral profile, and ranks the exact weaknesses you need to focus on during your next sprint.

In short, it is a smart, interactive practice arena that focuses on actively fixing your specific weaknesses rather than just tracking how many hours you spend studying.