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MySQL on Azure Performance Benchmark – ScaleGrid vs. Azure Database

Scalegrid

While Microsoft offers their own Azure Database product, there are other alternatives available that may be able to help you improve your MySQL performance. 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. Throughput.

Azure 299
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Announcing bpftop: Streamlining eBPF performance optimization

The Netflix TechBlog

By Jose Fernandez Today, we are thrilled to announce the release of bpftop , a command-line tool designed to streamline the performance optimization and monitoring of eBPF applications. This tool minimizes overhead by enabling performance statistics only while it is active.

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Benchmark (YCSB) numbers for Redis, MongoDB, Couchbase2, Yugabyte and BangDB

High Scalability

Here Redis and Yugabyte have higher latencies, Yugabyte performs bad for both Insert and Read for the test. Yugabyte performs really good in this test. Application example: user status updates; people want to read the latest. The latency table for test D is as below. Workload E: Short ranges. Workload F: Read-modify-write. Conclusion.

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Running the ML-Perf Storage benchmark on Nutanix files.

n0derunner

Some technical notes on our submission to the benchmark committee. Background For the past few months engineers from Nutanix have been participating in the MLPerftm Storage benchmark which is designed to measure the storage performance required for ML training workloads. appeared first on n0derunner.

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Escape Analysis in Java 6 Update 14 - Some Informal Benchmarks

DZone

As well as the usual collection of bug fixes, this release includes some experimental new features designed to improve the performance of the JVM (see the release notes ). Sun released update 14 of the Java 6 JDK and JRE. One of these is Escape Analysis. What Is Escape Analysis?

Java 198
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Why applying chaos engineering to data-intensive applications matters

Dynatrace

Performance is usually a primary concern when using stream processing frameworks. See more about the performance of stream processing frameworks in our published paper. ShuffleBench i s a benchmarking tool for evaluating the performance of modern stream processing frameworks.

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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. performance advantage.