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Converge

Group Scheduling Simplified Discussion | Link

Oluwadarasimi Ajiboye 2026-06-25 05:40 👁 3 查看原文 →
Dev.to

HLD Fundamentas #7: Back-of-the-Envelope Calculations

When designing systems like Facebook, WhatsApp, Netflix, Amazon, or Instagram, one of the first questions a system designer asks is: Can a single server handle the traffic? How much storage will be needed? Do we need caching? How much RAM should our cache have? How many servers should we deploy? Before discussing databases, load balancers, microservices, or caching layers, we need a rough understanding of the scale. This is where Back-of-the-Envelope Calculations come into the picture. Why Do We Need Back-of-the-Envelope Calculations? Imagine you're asked to design Facebook. If you immediately start drawing: Load Balancer ↓ Application Servers ↓ Redis Cache ↓ Database without knowing the expected traffic, you're designing blindly. System design is fundamentally about making trade-offs. To make those trade-offs, we first need estimates. Back-of-the-envelope calculations help us answer: How much traffic will the system receive? How much data will be generated? How much cache memory is required? How many servers are needed? The numbers don't need to be perfect. They only need to be close enough to make architectural decisions. What Exactly Is a Back-of-the-Envelope Calculation? A quick estimation technique used to approximate: Traffic Storage Memory Server Capacity using rough assumptions. Think of it as: "Getting the order of magnitude correct rather than getting the exact number correct." A system designer rarely needs perfect accuracy during interviews. They need reasonable estimates. The Standard Estimation Flow Whenever you get a System Design question: Users ↓ Traffic ↓ Storage ↓ RAM / Cache ↓ Number of Servers ↓ Architecture Design Always estimate first. Design later. The Ultimate Estimation Cheat Sheet Storage Units Unit Value 1 KB 10³ Bytes 1 MB 10⁶ Bytes 1 GB 10⁹ Bytes 1 TB 10¹² Bytes 1 PB 10¹⁵ Bytes Time Units Unit Value 1 Minute 60 Seconds 1 Hour 3600 Seconds 1 Day 86,400 Seconds Common Assumptions Metric Approximation Peak Traffic 3× Average Traffic Active

Jaspreet singh 2026-06-24 23:42 👁 6 查看原文 →
The Verge AI

21 Prime Day deals Verge readers are buying right now

There are an overwhelming number of Prime Day deals to sort through, which is why we spend so much time highlighting products we’ve already tested and can stand behind. But our recommendations are only one way to identify a worthwhile deal: another is seeing which products fellow Verge readers actually buy. Below, we’ve rounded up […]

Sheena Vasani 2026-06-24 23:15 👁 6 查看原文 →
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Zaro

Build agents & apps on top of your context with one prompt. Discussion | Link

2026-06-24 21:54 👁 4 查看原文 →
HackerNews

Qualcomm to Acquire Modular

https://investor.qualcomm.com/news-events/press-releases/new... https://www.modular.com/blog/qualcomm-to-acquire-modular https://x.com/clattner_llvm/status/2069769232477192354 , https://xcancel.com/clattner_llvm/status/2069769232477192354

timmyd 2026-06-24 21:49 👁 2 查看原文 →
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MeetPoint

Find the city where everyone's flights are cheapest Discussion | Link

Florens von Buchwaldt 2026-06-24 21:38 👁 2 查看原文 →
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GetCompress

Lossless media compression without context switching Discussion | Link

Petr Samokhin 2026-06-24 21:31 👁 2 查看原文 →
The Verge AI

The Dyson PencilWash is down to its lowest price ever for Prime Day

Dyson’s PencilWash cordless hard floor cleaner is on sale for $199.99 ($150 off) at Amazon. This is the lowest price yet for the powered wet mop that’s a cousin to the silly-sounding-but-awesome Dyson PencilVac Fluffycones vacuum. The PencilWash basically takes the sleek styling and design of the PencilVac and simplifies it into a single-purpose electric […]

Antonio G. Di Benedetto 2026-06-24 19:31 👁 5 查看原文 →