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Ready to transition from a commercial database to opensource, and want to know which databases are most popular in 2019? Wondering whether an on-premise vs. public cloud vs. hybrid cloud infrastructure is best for your database strategy?
PostgreSQL is an opensource object-relational database system that has soared in popularity over the past 30 years from its active, loyal, and growing community. For the 2nd year in a row, PostgreSQL has kept the title of #1 fastest growing database in the world according to the DBMS of the Year report by the experts at DB-Engines.
AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought provoking.
It was a battle of not only proprietary vs opensource but also static vs dynamic. MovableType was one of the first static site generators on the market, although that term wouldn’t become popular until 2008. By the end of 2008, Tom Preston-Werner announces Jekyll — a simple, blog-aware, static site generator.
Its an open design developed starting in 2010 by David Pattersons team at Berkeley University, freely usable, kind of like Apache licensed opensource software. However most people dont know that NVIDIA is also going to ship a billion or so RISC-V CPU cores in 2024. Thats where RISC-V comes in.
That's about 24 hours from now! ## References I've reproduced the references from my SREcon22 keynote below, so you can click on links: - [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] Jul 2008 - [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] 2010 - [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double (..)
AWS Graviton2); for memory with the arrival of DDR5 and High Bandwidth Memory (HBM) on-processor; for storage including new uses for 3D Xpoint as a 3D NAND accelerator; for networking with the rise of QUIC and eXpress Data Path (XDP); and so on. Note that my predictions in this talk may be wrong, but they should be thought-provoking.
References I've reproduced the references from my SREcon22 keynote below, so you can click on links: [Gregg 08] Brendan Gregg, “ZFS L2ARC,” [link] , Jul 2008 [Gregg 10] Brendan Gregg, “Visualizations for Performance Analysis (and More),” [link] , 2010 [Greenberg 11] Marc Greenberg, “DDR4: Double the speed, double the latency?
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