akshat @akshonite

3/4 stack engineer Joined July 2019

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akshat @akshonite

2 months ago

@insanekrishnaa Interested

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Mrinal @Hi_Mrinal

4 months ago

Read somewhere There's a reason why the word "Niyati / (नियति)" ( meaning destiny ) originates from the word "Niyat / (नियत)" ( meaning intent )

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Arpit Bhayani @arpit_bhayani

5 months ago

Redis is just a HashMap with marketing.

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Here is something interesting about memory management in Linux: most systems use 4KB pages by default. But, there is something called Transparent Huge Pages (THP) that configures your system to use 2MB pages instead. Here's why it matters... Every time the CPU needs to translate a virtual address to a physical one, it looks up the page table. This lookup is expensive, so there is a small cache called the Translation Lookaside Buffer that stores recent translations (yes, the one we studied in operating systems). The problem? TLB is tiny - it can only hold a few hundred entries. So if each page is just 4KB, the TLB can only cache translations for a small slice of memory (128KB to 512KB). But if each page is 2MB, suddenly the same number of TLB entries can cover 64MB to 256MB, which is 500x more memory accesses cached. Fewer TLB misses mean faster memory access. When this setting is changed, the applications need not do anything; it is a pure OS setting change. But here is the catch - THP can hurt database performance. To create these 2MB contiguous pages, the kernel sometimes needs to "compact" memory by shuffling pages around. This can stall your application for hundreds of milliseconds, sometimes even seconds. Databases like MongoDB, Redis, and MySQL have sparse, random memory access patterns. They do not benefit from huge pages, and the compaction overhead just adds unpredictable latency. Not only that, but if your application only needs 100KB, a 2MB page still gets allocated. That is 1.9MB wasted. For applications with lots of small, sparse allocations, this adds up quickly. Also, when the system needs to swap out a huge page, it first has to split it back into 4KB pages. This splitting operation takes time and adds latency during memory pressure. Even when a process forks, pages are shared until one process writes to them. With huge pages, a single byte write triggers a 2MB copy instead of a 4KB copy. This is why most databases recommend disabling THP entirely. If you want to check your THP status, you can just fire the command ``` cat /sys/kernel/mm/transparent_hugepage/enabled ``` When I benchmarked it, I saw tremendous results for Spark workloads and Redis with large KV data. But the penalty when data is sparse is actually much worse. THP is a classic trade-off. So, know your memory access patterns before you decide to turn it on.

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akshat @akshonite

8 months ago

@ai_x_man @codewithpri @rohit_negi9 Backlog reh gya dost clear hogya😔

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akshat @akshonite

8 months ago

@WasimShips @dreamlaunchhq akshonite.vercel.app

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aiman @ai_x_man

9 months ago

I made a CLI tool for Fitgirl Repacks

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akshat @akshonite

9 months ago

@vikpai @ReferRush akshonite.vercel.app

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Virat Kohli @imVkohli

9 months ago

The only time you truly fail, is when you decide to give up.

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@

10 months ago

This is so stupid but so awsome

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akshat @akshonite

10 months ago

@aryanposts Learned

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akshat @akshonite

10 months ago

@aavvvacado @k_sauraj yeahh it might shoot as well

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akshat @akshonite

10 months ago

@adityaberry2004 @Sanatan_dive Kheti

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akshat @akshonite

10 months ago

@lzndon Randy lookss ahm

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akshat @akshonite

10 months ago

@imabeer_16 😋

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akshat @akshonite

11 months ago

@elonmusk we were supposed to have flying tesla by now 😭

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akshat @akshonite

11 months ago

@jacobvcreech scaling my capstone up x.com/akshonite/stat… please do take a look at it

akshat @akshonite

11 months ago

here you gooo MintCraft is a decentralized marketplace where AI generates content (art, music, text, code) that's instantly minted as NFTs on Solana, with built-in ownership tracking and monetization. Users can also register their own AI models and earn from usage fees.