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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.
s announcement of Amazon RDS for Microsoft SQL Server and.NET support for AWS Elastic Beanstalk marks another important step in our commitment to increase the flexibility for AWS customers to use the choice of operating system, programming language, development tools and database software that meet their application requirements.
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). Comments (). per GB/month.
Empowering innovation is at the heart of everything we do at Amazon Web Services (AWS). I often get to meet, discuss, and learn from innovators how they are using AWS to deliver transformative applications to their users, customers and partners. Troy: We moved our service from internal servers to AWS.
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.
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.
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.
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. But there's another factor at play: jobs are also migrating from both Solaris and Linux to cloud jobs instead, specifically AWS.
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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