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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

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. Ford, et al., “TCP

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

## 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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USENIX LISA2021 Computing Performance: On the Horizon

Brendan Gregg

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. Ford, et al., “TCP

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Use Physical Backups With MySQL InnoDB Redo Log Archiving

Percona

Now, since backup speed and compactness are important for busy, important databases, Percona’s open source physical backup solution – Percona XtraBackup (PXB) , takes into account all these aspects and benefits MySQL world with its exceptional capabilities! Copyright (c) 2016, 2023, Oracle and/or its affiliates.

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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

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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MongoDB Rollback: How to Minimize Data Loss

Scalegrid

Data-bearing members face a higher risk of encountering issues caused by rollbacks, compared to others who utilize different storage methods. This particular write concern prioritizes data longevity over reading speed. The files look something like this: <dbname> <collectionname> 2016-02-08T19-34-44.0.bson

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How It Works (It Just Runs Faster): Non-Volatile Memory SQL Server Tail Of Log Caching on NVDIMM

SQL Server According to Bob

SQL Server 2016 Service Pack 1 (all SKUs) , in combination with Windows Server 2016 (All SKUs) or Windows 10 Client introduces non-volatile memory support for the tail of the log file (LDF) which can significantly increase transaction throughput. Block storage is what you think of today as disk access. Tail Of Log Caching.

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