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What Happened to HornetQ, the JMS That Shattered Records?

DZone

broke records and defeated top-ranked messaging services in benchmark tests. When testing a new product, it's important to see how it stacks up against its competition. For years, researchers at UT Darmstadt have compared the performance of message-oriented middleware servers based on Java Messaging Service (JMS).

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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

MySQL is the number one open source database that’s commonly hosted through Azure instances. MySQL Azure Performance Benchmark. In this benchmark report, we compare MySQL hosting on Azure at ScaleGrid vs. Azure Database for MySQL across these three workload scenarios: Read-Intensive Workload: 80% reads and 20% writes.

Azure 299
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Impact of Querying Table Information From information_schema

Percona

On MySQL and Percona Server for MySQL , there is a schema called information_schema (I_S) which provides information about database tables, views, indexes, and more. Disclaimer : This blog post is meant to show a less-known problem but is not meant to be a serious benchmark.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

As a MySQL database administrator, keeping a close eye on the performance of your MySQL server is crucial to ensure optimal database operations. A monitoring tool like Percona Monitoring and Management (PMM) is a popular choice among open source options for effectively monitoring MySQL performance. Hint Hint, ProxySQL helps.

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Lerner?—?using RL agents for test case scheduling

The Netflix TechBlog

using RL agents for test case scheduling By: Stanislav Kirdey , Kevin Cureton , Scott Rick , Sankar Ramanathan Introduction Netflix brings delightful customer experiences to homes on a variety of devices that continues to grow each day. Detect a regression in a test case. These problems could be solved in several different ways.

Testing 163
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20X Faster Backup Preparation With Percona XtraBackup 8.0.33-28!

Percona

The data is internally inconsistent because the server concurrently modifies the data files while they are being copied. The changes done by an uncommitted transaction can be flushed or written to the redo log by the server. Initializing a DD engine and the cache adds complexity and other server dependencies. ibd > t1.sdi

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How to Assess MySQL Performance

HammerDB

Therefore, before we attempt to measure our database performance, we should know the system or cloud instance to be tested in detail. For the network, we can use Iperf to assess the network bandwidth between the client and the database server to ensure it will be enough to meet our peak requirement. For storage, FIO is generally used.