Check out RocksDB (maintained by Meta). It is a prime example of a log-structured merge-tree used in high-performance applications.
The Apache Spark and Apache Flink repositories provide the blueprint for processing petabytes of "data at rest." github designing data-intensive applications
One of the most praised sections of DDIA is the deep dive into storage engines. On GitHub, you can move beyond diagrams and inspect actual implementations: Check out RocksDB (maintained by Meta)
Repositories that let you spin up a distributed cluster (Kafka, ZooKeeper, Postgres) with a single command. Postgres) with a single command.
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