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Most people think it’s random. It’s not. Comment "blog" for detailed article on this. Here’s what actually happens: 1️⃣ Health checks first Only healthy servers receive traffic. 2️⃣ Load balancing
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Low level design topics you should know 👇🏻 Comment anything to get this and resources in Dm Core OOP Foundations 1. OOPS fundamentals - classes/Objects 2. Encapsulation 3. Abstraction 4.
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403 isn’t a “code bug”. It’s usually a **policy / auth / gateway** problem. Here’s the exact checklist I follow: 1️⃣ Confirm WHO is blocking • App logs show request reached? • Or blocked before a
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🚨 Interviewer Question: How does a 100GB file become 20GB when zipped without losing data? Short answer: Compression removes redundancy, not meaning. Explain like I’m 5 years old: 1. Imagine writi
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Order : FROM → JOIN → WHERE → GROUP BY → HAVING → SELECT → ORDER BY → LIMIT Explanation: 1. FROM ✅ • SQL first decides which tables it will use. • It loads the data from those tables. 2. JOIN✅ •
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In enterprise RAG, “retrieved from XYZ.pdf” is NOT enough. Legal & compliance teams want precise provenance — clause, page, section, and even bounding boxes. Here’s how real teams build traceable RAG
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Correct approach: Hashing (not encryption) How to store passwords securely: 1️⃣ Never store the password itself → Not plaintext → Not encrypted 2️⃣ Use a strong hashing algorithm → bcrypt / Argo
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Stop building toys. If your RAG chatbot is slow, it’s because you’re treating production like a Jupyter Notebook. Use the following strategies: 1️⃣Stream your responses Show the answer as it’s bei
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Not coincidence — it’s backend systems and ad pipelines at work 1️⃣ Collects Your Actions (Event Streaming) • Tracks searches, clicks, views, likes — even off-platform activity. • Example: You search
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The no.1 mistake people make while building RAGS is Optimizing embeddings while ignoring metadata filtering. Vector search answers *how similar* documents are. Metadata decides which documents are e
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If you’re not using pagination, your database is silently suffering. Comment "Pdf" for clean easy notes. ➡️ Offset-based pagination (works, but slow at scale) Uses LIMIT + OFFSET. Example: Page 10
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Handling 1 Million RPS isn’t about code — it’s about smart architecture. 1️⃣ Traffic Distribution (Load Balancers) ➡️ Spreads incoming requests across many servers so nothing overloads. Example: 1M r
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About @neatroots

Rana Tahir Bilal is a Instagram micro influencer in the Science, Technology & Engineering category. With 25.5K followers and 12 posts, neatroots's account shows a follower-to-following ratio of 500.7:1. This profile demonstrates strong community engagement within its niche. View all content anonymously on Pictame - no login required.

neatroots's engagement rate sits at 1.67%. For accounts with 10K-100K followers, the average is around 2.5%, so there's some room to grow — though every community is unique.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 10 days. Captions lean detailed, averaging 1425 characters.

1.67% engagement rate — room to grow compared to average for 10K-100K follower accounts.
Posts about every 10 days.
500.7:1 follower-to-following ratio.

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neatroots
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@neatroots

Rana Tahir Bilal

PublicScience, Technology & Engineering
Posts
12
Followers
25.5K
Top Hashtags
#systemdesign#backenddeveloper#developer#backenddevelopment#codinginterview#programming#interview#llm

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

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Popular Hashtags

#foodie#travelphotography#sky#nails#moda#video#naturephotography#photographer#sun#trend#workout#instafood
Following
51
Avg. Likes
405
Avg. Comments
22
Engagement
1.67%

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