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      <title>Sarthak Kumar</title>
      <link>https://sarthakvk.com</link>
      <description>Last 10 notes on Sarthak Kumar</description>
      <generator>Quartz -- quartz.jzhao.xyz</generator>
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    <title>Building Gokey A Key-Value Store on Raft</title>
    <link>https://sarthakvk.com/Blogs/Building-Gokey-A-Key-Value-Store-on-Raft</link>
    <guid>https://sarthakvk.com/Blogs/Building-Gokey-A-Key-Value-Store-on-Raft</guid>
    <description><![CDATA[ Building a replicated key-value store in Go on HashiCorp's Raft — how SET/DELETE turn into log entries, replicate across nodes, and apply via an FSM. ]]></description>
    <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Building NSE tick collector with Zerodha Kite Connect</title>
    <link>https://sarthakvk.com/Blogs/Building-NSE-tick-collector-with-Zerodha-Kite-Connect</link>
    <guid>https://sarthakvk.com/Blogs/Building-NSE-tick-collector-with-Zerodha-Kite-Connect</guid>
    <description><![CDATA[ Building a real-time NSE tick collector with Zerodha Kite Connect — ~9,000 instruments over multiple websockets, batched to Parquet on S3, queried with DuckDB. ]]></description>
    <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Designing a scalable fanout service</title>
    <link>https://sarthakvk.com/Blogs/Designing-a-scalable-fanout-service</link>
    <guid>https://sarthakvk.com/Blogs/Designing-a-scalable-fanout-service</guid>
    <description><![CDATA[ Designing a scalable fanout service that decouples event processing from delivery using Kafka, queues, and workers — linearly scalable to millions of recipients. ]]></description>
    <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
  </item><item>
    <title>Scaling Acoustic Scene Simulation Pipeline</title>
    <link>https://sarthakvk.com/Blogs/Scaling-Acoustic-Scene-Simulation-Pipeline</link>
    <guid>https://sarthakvk.com/Blogs/Scaling-Acoustic-Scene-Simulation-Pipeline</guid>
    <description><![CDATA[ Building a distributed acoustic scene simulation pipeline for Audio ML — turning 10M scenes (~20 years of CPU and petabytes of audio) into a tractable workflow. ]]></description>
    <pubDate>Tue, 02 Jun 2026 00:00:00 GMT</pubDate>
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