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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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

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

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory.

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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. I also wrote about these topics in detail for my recent [Systems Performance 2nd Edition] book.

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Expanding the Cloud for Windows Developers - All Things Distributed

All Things Distributed

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. Comments ().

Cloud 115
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Finding Distinct Values Quickly

SQL Performance

This follow-up post revisits the question for SQL Server 2019, using a larger number of rows. It has 32GB RAM, with 24GB available to the SQL Server 2019 instance. It would be nice if SQL Server could push the aggregation down into the scan and just return distinct values from the column store directly. Test Environment.

Servers 86
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USENIX SREcon APAC 2022: Computing Performance: What's on the Horizon

Brendan Gregg

My personal opinion is that I don't see a widespread need for more capacity given horizontal scaling and servers that can already exceed 1 Tbyte of DRAM; bandwidth is also helpful, but I'd be concerned about the increased latency for adding a hop to more memory. That's about 24 hours from now!

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Customer Conversations - How Intuit and Edmodo Innovate using.

All Things Distributed

Troy: We moved our service from internal servers to AWS. 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. How are your users adopting and responding to your service? the recoverability of data.