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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

You will need to know which monitoring metrics for Redis to watch and a tool to monitor these critical server metrics to ensure its health. Redis returns a big list of database metrics when you run the info command on the Redis shell. You can pick a smart selection of relevant metrics from these.

Metrics 130
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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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Benchmarking spreadsheet systems

The Morning Paper

Benchmarking spreadsheet systems Rahman et al., construct a set of benchmarks to try and understand what might be going on under the covers in Microsoft Excel, Google Sheets, and LibreOffice Calc. Basic complexity testing. Finally a metric that penalises marketing departments for exaggeration! Rahman et al.

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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

This PoC demonstrates how to install and configure pg_stat_monitor in order to extract useful and actionable metrics from a PostgreSQL database and display them on a Grafana dashboard. About the environment Grafana: version 10.0.0 Grafana database backend: Prometheus version 2.15.2+d

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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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SKP's Java/Java EE Gotchas: Clash of the Titans, C++ vs. Java!

DZone

This begins not only in designing the algorithm or coming out with efficient and robust architecture but right onto the choice of programming language. One, by researching on the Internet; Two, by developing small programs and benchmarking. Input The input will contain several test cases (not more than 10).

Java 207
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The evolution of single-core bandwidth in multicore processors

John McCalpin

The primary metric for memory bandwidth in multicore processors is that maximum sustained performance when using many cores. This metric is interesting because we don’t always have the luxury of parallelizing every application we run, and our operating systems almost always process each call (e.g., Details in the next blog entry.)