Remove Benchmarking Remove Latency Remove Virtualization
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Investigation of a Workbench UI Latency Issue

The Netflix TechBlog

Using this approach, we observed latencies ranging from 1 to 10 seconds, averaging 7.4 To efficiently utilize our compute resources, Titus employs a CPU oversubscription feature , meaning the combined virtual CPUs allocated to containers exceed the number of available physical CPUs on a Titus agent. We then exported the .har

Latency 217
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Virtual consensus in Delos

The Morning Paper

Virtual consensus in Delos , Balakrishnan et al. If you think of this a bit like mapping memory addresses to data in memory, then another parallel comes to mind: the virtual address space. We propose the novel abstraction of a virtual shared log (or VirtualLog). Facebook, Inc. ), OSDI’2020. What does the VirtualLog give us?

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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

HammerDB doesn’t publish competitive database benchmarks, instead we always encourage people to be better informed by running their own. So over at Phoronix some database benchmarks were published showing PostgreSQL 12 Performance With AMD EPYC 7742 vs. Intel Xeon Platinum 8280 Benchmarks .

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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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The Speed of Time

Brendan Gregg

A Cassandra database cluster had switched to Ubuntu and noticed write latency increased by over 30%. CLI tools The Cassandra systems were EC2 virtual machine (Xen) instances. Note that Ubuntu also has a frame to show entry into vDSO (virtual dynamic shared object). include <sys/time.h>

Speed 103
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What Is a Workload in Cloud Computing

Scalegrid

Various forms can take shape when discussing workloads within the realm of cloud computing environments – examples include order management databases, collaboration tools, videoconferencing systems, virtual desktops, and disaster recovery mechanisms. This applies to both virtual machines and container-based deployments.

Cloud 130
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The Most Important MySQL Setting

Percona

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 We have long been surfing the virtualization wave (to keep it broad). MySQL (B) 2517529 2610323 389048 5516900 194140 11523.48

Tuning 139