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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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.
File systems unfit as distributed storage backends: lessons from 10 years of Ceph evolution Aghayev et al., In this case, the assumption that a distributed storage backend should clearly be layered on top of a local file system. What is a distributed storage backend? SOSP’19. This is not surprising in hindsight.
The AWS team launched this week Amazon Glacier , a cold storage archive service at the very low price point of $0.01 In 1997 Jim revisted his caculations with the help of Goetz Graefe , and it details the impact of 10 years of hardware and pricing progress. Goetz Graefe, ACM Queue 6(4): 40-52 (2008). . | Permalink. Comments ().
We had some fun getting hardware figured out, and I used a 3D printer to make some cases, but the whole project was interrupted by the delivery of the iPhone by Apple in late 2007. In September 2008 Netflix ran an internal hack day event. They were about to launch a public API and wanted internal teams to try it out before launch.
of administrative tasks such as OS and database software patching, storage management, and implementing reliable backup and disaster recovery solutions. Amazon RDS currently supports SQL Server 2008 R2 and plans to add support for SQL Server 2012 later this year. License Includedâ??
It progressed from “raw compute and storage” to “reimplementing key services in push-button fashion” to “becoming the backbone of AI work”—all under the umbrella of “renting time and storage on someone else’s computers.” Cloud computing? ” scenarios at industrial scale.
Jack: Since our launch in late 2008, weve grown to over 6 million teachers and students globally primarily through word of mouth of teachers who have shared Edmodo with each other. Moving to AWS has enabled us with operational agility to deliver more value to those customers without having to worry about scale and infrastructure maintenance.
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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.
It comes set to SQL Server 2008 compatibility (level 100), but we will start with a more modern setting of SQL Server 2017 (level 140): ALTER DATABASE StackOverflow2013 SET COMPATIBILITY_LEVEL = 140 ; The tests were performed on my laptop using SQL Server 2019 CU 2. The serial aggregate push down result of 13ms is equally impressive.
Table-valued parameters have been around since SQL Server 2008 and provide a useful mechanism for sending multiple rows of data to SQL Server, brought together as a single parameterized call. Where this really can make a difference is in cloud implementations where you are paying for more than just compute and storage resources.
It will also use less power than a two-socket Intel server, with a lower hardware cost, and potentially lower licensing costs (for things like VMware). Because of this, I think they will be a great choice for virtualization hosts and for Storage Spaces Direct nodes. AMD is not going to stand still and wait for Intel to catch up.
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?
Nowadays, there are three built-in tracers that you should know about: - **ftrace**: since 2008, this serves many tracing needs, and has been enhanced recently with hist triggers for custom histograms. Appliance manufacturers hire kernel engineers to develop custom features, including storage appliances.
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