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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

In this blog post, we compare Azure Database for MySQL vs. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latency performance. We measure latency in ms 95th percentile latency. MySQL Azure Performance Benchmark. At a glance – TLDR. Read-Intensive Workloads.

Azure 299
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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

High Scalability

In this blog post, we compare Azure Database for MySQL vs. ScaleGrid MySQL on Azure so you can see which provider offers the best throughput and latency performance. We measure latency in ms 95th percentile latency.

Azure 137
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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

This blog post lists the important database metrics to monitor. Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities.

Metrics 130
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How To Scale a Single-Host PostgreSQL Database With Citus

Percona

Leveraging pgbench , which is a benchmarking utility that comes bundled with PostgreSQL, I will put the cluster through its paces by executing a series of DML operations. And now, execute the benchmark: -- execute the following on the coordinator node pgbench -c 20 -j 3 -T 60 -P 3 pgbench The results are not pretty.

Database 102
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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 evolution of single-core bandwidth in multicore processors

John McCalpin

Some I will address today, and some in the next blog entry. link] ) For the single-core case the bandwidth reported by the STREAM benchmark kernels is very close to the same as the bandwidth for the all-read tests reported here. Details in the next blog entry.) These observations naturally give rise to a variety of questions.

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Maximizing Performance of AWS RDS for MySQL with Dedicated Log Volumes

Percona

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section.

AWS 93