Technical deep dives into distributed systems, backend architecture, and high-performance computing. Notes from the field on scaling infrastructure and exploring emerging tech.
Exploring the architectural upgrades and caching strategies involving Redis and DynamoDB that helped support massive conference list pushes.
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A deep dive into MIT 6.5840 course projects. How I implemented Leader Election and Log Compaction using the Raft consensus algorithm.
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An overview of current large model application technologies including RAG and MCP. My experience using Claude Code and ChatGPT CodeX.
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Techniques for mitigating high write pressure on DBs during massive message broadcasts by introducing specialized coroutine pools.
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Techniques for preventing cache stampedes and effectively using Redis pipelines to improve throughput in backend services.
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Looking back at my Master's in Computer Science at Clemson. From research to campus life in South Carolina.
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Redesigning the storage architecture for historical message queries to solve DB throughput limits and prevent production alarms.
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Transitioning from C++ to Golang: The pros, the cons, and why Go's concurrency model is a game changer for backend development.
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