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Why you should benchmark your database using stored procedures

HammerDB

HammerDB uses stored procedures to achieve maximum throughput when benchmarking your database. HammerDB has always used stored procedures as a design decision because the original benchmark was implemented as close as possible to the example workload in the TPC-C specification that uses stored procedures. On MySQL, we saw a 1.5X

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A MyRocks Use Case

Percona

The use case is the TPC-C benchmark but executed not on a high-end server but on a lower-spec virtual machine that is I/O limited like for example, with AWS EBS volumes. I decided to use a virtual machine with two CPU cores, four GB of memory, and storage limited to a maximum of 1000 IOPs of 16KB. MyRocks Vs InnoDB.

Storage 56
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HammerDB v4.0 New Features Pt1: TPROC-C & TPROC-H

HammerDB

The HammerDB TPROC-C workload by design intended as CPU and memory intensive workload derived from TPC-C – so that we get to benchmark at maximum CPU performance at a much smaller database footprint. For TPC-C this meant enough available spindles to reduce I/O latency and for TPC-H enough bandwidth for data throughput.

C++ 40
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What Adrian Did Next?—?Part 2?—?Sun Microsystems

Adrian Cockcroft

Another big jump, but now it was my job to run benchmarks in the lab, and write white papers that explained the new products to the world, as they were launched. I also learned how marketing worked, and began to build my presentation and training skills as I was sent around the world by Sun to teach workshops and speak at events.

Tuning 52
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Have You Tested Your App Performance & Capacity Recently?

Apica

Hollywood works closely with IT organizations to provide streaming (non-linear) content, especially during seasonal events, because e-business and e-commerce interactions via these web applications are as revenue critical as cable subscriptions are. Load and stress-testing benchmark goals for the backend technological components.

Testing 40
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Virtual consensus in Delos

The Morning Paper

Virtual consensus in Delos , Balakrishnan et al. USENIX is a nonprofit organisation committed to making content and research freely available – both conference proceedings and the recorded presentations of their events. Without in-person conferences this year, income is down and events are under threat.

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Kubernetes for Big Data Workloads

Abhishek Tiwari

Containerized data workloads running on Kubernetes offer several advantages over traditional virtual machine/bare metal based data workloads including but not limited to. Kubernetes has all necessary primitives available to make it happen. better cluster resource utilization. portability between cloud and on-premises. Performance.