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From Apache Cassandra to Serverless: Exploring Cloud-Native Databases
An airhacks.fm conversation with Jake Luciani (@tjake) about:
from Commodore 64 to cloud databases,
early programming experiences with Basic and Excel macros,
studying cognitive science and its influence on his career,
transition to computer science,
working at Bell Labs on R language,
developing open-source projects like Night Rider MP3 player,
creating a NoSQL database that led to involvement with Cassandra,
building search API on top of Cassandra,
joining datastax as an early employee,
working on various aspects of Cassandra including compaction and streaming,
challenges of byte buffer implementation,
development of CQL (Cassandra Query Language),
transition from NoSQL to SQL-like interfaces,
separation of compute and storage in cloud databases,
using S3 as the source of truth for Astra DB,
implementing a Java file system abstraction for S3 integration,
using etcd as a transactional cache for metadata,
offering multiple APIs including REST and CQL drivers for astra DB,
implementing JSON document storage and querying capabilities,
cross-AZ cost considerations in cloud deployments,
Java as a language for database development,
future plans for jlama (Java-based LLM inference engine),
the importance of open-source in cloud technologies,
cost-driven architectures in cloud deployments,
serverless vs. traditional deployments trade-offs,
integration of AstraDB with cloud marketplaces and security considerations
Jake Luciani on twitter: @tjake
View all episodes
By Adam Bien
5
77 ratings
An airhacks.fm conversation with Jake Luciani (@tjake) about:
from Commodore 64 to cloud databases,
early programming experiences with Basic and Excel macros,
studying cognitive science and its influence on his career,
transition to computer science,
working at Bell Labs on R language,
developing open-source projects like Night Rider MP3 player,
creating a NoSQL database that led to involvement with Cassandra,
building search API on top of Cassandra,
joining datastax as an early employee,
working on various aspects of Cassandra including compaction and streaming,
challenges of byte buffer implementation,
development of CQL (Cassandra Query Language),
transition from NoSQL to SQL-like interfaces,
separation of compute and storage in cloud databases,
using S3 as the source of truth for Astra DB,
implementing a Java file system abstraction for S3 integration,
using etcd as a transactional cache for metadata,
offering multiple APIs including REST and CQL drivers for astra DB,
implementing JSON document storage and querying capabilities,
cross-AZ cost considerations in cloud deployments,
Java as a language for database development,
future plans for jlama (Java-based LLM inference engine),
the importance of open-source in cloud technologies,
cost-driven architectures in cloud deployments,
serverless vs. traditional deployments trade-offs,
integration of AstraDB with cloud marketplaces and security considerations
Jake Luciani on twitter: @tjake
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