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Answering Common Questions About Interpreting Page Speed Reports

Smashing Magazine

Answering Common Questions About Interpreting Page Speed Reports Answering Common Questions About Interpreting Page Speed Reports Geoff Graham 2023-10-31T16:00:00+00:00 2023-10-31T17:06:18+00:00 This article is sponsored by DebugBear Running a performance check on your site isn’t too terribly difficult. Source: Source: DebugBear.

Speed 97
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Netflix Cloud Packaging in the Terabyte Era

The Netflix TechBlog

Virtual Assembly Figure 3 describes how a virtual assembly of the encoded chunks replaces the physical assembly used in our previous architecture. It downloads the part(s) that contain the referenced, uploaded bytes and keeps them in an LRU active cache. For write operations, those challenges do not apply.

Cloud 237
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Azure Virtual Machines for SQL Server Usage

SQL Performance

One important choice you will still have to make is what type and size of Azure virtual machine you want to use for your existing SQL Server workload. Microsoft currently has eight main types of virtual machines designed for different types of workloads. GHz, 128MB of L3 cache, 128 PCIe 4.0 Azure VM Types and Series. Conclusion.

Azure 72
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Percona Toolkit – A Quick Introduction to Summary

Percona

virtual = 2.2G Caches | 12.4G virtual = 2.2G Caches | 12.4G 2004l# Percona Toolkit System Summary Report ###################### Date | 2023-09-25 14:43:34 UTC (local TZ: CDT -0500) Hostname | testbox Uptime | 44 min, 1 user, load average: 0.47, 0.67, 0.57 Platform | Linux Release | Ubuntu 22.04.3 Shared | 475.0M

Cache 99
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AMD EPYC Processors in Azure Virtual Machines

SQL Performance

Back on December 5, 2017, Microsoft announced that they were using AMD EPYC 7551 processors in their storage-optimized Lv2-Series virtual machines. This processor has a base clock speed of 2.0GHz, with an all-core boost speed of 2.55GHz, and a max boost clock speed of 3.0GHz. The L3 cache size is 64MB.

Azure 42
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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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Static Analysis of Java Enterprise Applications: Frameworks and Caches, the Elephants in the Room

The Morning Paper

Static analysis of Java enterprise applications: frameworks and caches, the elephants in the room , Antoniadis et al., Instead, analyses expect their users to provide customization for web applications, which is a significant burden, virtually never overcome in practice. PLDI’20. Introducing JackEE.

Java 80