Cassandra Performance Roadmap with Kathryn Erickson | Ep. 146 Distributed Data Show
Distributed Data Show
English - April 28, 2020 13:00 - 29 minutes - 27 MB - ★★★★★ - 15 ratingsTechnology apachecassandra database hybridcloud multicloud nosql opensource Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Kathryn Erickson joins the show to double-click on a few of the exciting possibilities she's tracking with the potential for continued improvement in Cassandra performance. Hardware options on the horizon include persistent memory, FPGAs and networked storage). At the operating system level, she's tracking asynchronous IO support in Linux via the io_uring library. Java performance continues to become more predictable with the Z Garbage Collector (ZGC), which is already available as an experimental option in Java 12. Finally, Cassandra specific improvements include adding a pluggable storage engine API, and automated operations (AIOps) for more efficient tuning and collaboration between nodes.
See omnystudio.com/listener for privacy information.
Kathryn Erickson joins the show to double-click on a few of the exciting possibilities she's tracking with the potential for continued improvement in Cassandra performance. Hardware options on the horizon include persistent memory, FPGAs and networked storage). At the operating system level, she's tracking asynchronous IO support in Linux via the io_uring library. Java performance continues to become more predictable with the Z Garbage Collector (ZGC), which is already available as an experimental option in Java 12. Finally, Cassandra specific improvements include adding a pluggable storage engine API, and automated operations (AIOps) for more efficient tuning and collaboration between nodes.
See omnystudio.com/listener for privacy information.