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FEATURED DEEP DIVEschedule14 MIN READEngineering & Distributed Systems

Deconstructing Sharded LRU Caches & Distributed Lock Contention: What Tier-1 Interviewers Actually Look For

A rigorous walkthrough of memory leak heuristics, cache stampede mitigation under 100k RPS spikes, and Redlock race conditions observed during our recent capstone cluster stress tests.

RV

Rohan Varma

Staff Engineer & Mentor · ex-Razorpay

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cache_shard.go
type ShardedLRU struct {
    shards    []*CacheShard
    mask      uint64
    hasher    hash.Hash64
}

func (c *ShardedLRU) GetWithSingleflight(key string) (any, error) {
    shard := c.getShard(key)
    shard.mu.RLock()
    if val, ok := shard.items[key]; ok {
        shard.mu.RUnlock()
        return val, nil
    }
    shard.mu.RUnlock()
    // Singleflight coalescing on cold-cache miss
    return c.sfGroup.Do(key, func() (any, error) {
        return c.populateFromDB(key)
    })
}
Stress BenchmarkP99 < 1.4ms
Lock contention drops 84%120k QPS / Node
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Engineered For Clarity

Every piece is vetted by an industry engineering mentor. No aggregate clickbait, only tested implementation details.

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6 MIN READ·PORTFOLIO SIGNALS

The AI Resume Paradox: Why Recruiters Reject 90% of Automated Portfolios

When thousands submit identical AI-generated resumes, hiring panels look for tangible proof: verified commit graphs, latency trade-off documentation, and telemetry logs.

SP

Siddharth Pant

Recruitment Partner

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