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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.

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MySQL Key Performance Indicators (KPI) With PMM

Percona

In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM. PMM captures the MySQL connection matrix It is important to provide appropriate max_connections and also monitor max_used_connections, max_used_connections_time to review the history of max usage to estimate the traffic.

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

This blog post lists the important database metrics to monitor. Key metrics like throughput, request latency, and memory utilization are essential for assessing Redis health, with tools like the MONITOR command and Redis-benchmark for latency and throughput analysis and MEMORY USAGE/STATS commands for evaluating memory.

Metrics 130
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From Heavy Metal to Irrational Exuberance

ACM Sigarch

I suggest it’s long past time to move beyond C and SPEC benchmarks and our exclusive focus on “metal” languages. There are already standard benchmark suites for JavaScript performance in the browser, and we can include applications written in node.js (server-side JavaScript), Python web servers, and more.

C++ 108
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High Availability vs. Fault Tolerance: Is FT’s 00.001% Edge in Uptime Worth the Headache?

Percona

This blog article will examine shared attributes of high availability (HA) and fault tolerance (FT). Some of the most important elements include: No single point of failure (SPOF): You must eliminate any SPOF in the database environment, including any potential for an SPOF in physical or virtual hardware. What is fault tolerance?

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The Ultimate Guide to Database High Availability

Percona

Defining high availability In general terms, high availability refers to the continuous operation of a system with little to no interruption to end users in the event of hardware or software failures, power outages, or other disruptions. Load balancers can detect when a component is not responding and put traffic redirection in motion.

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The Speed of Time

Brendan Gregg

Since instances of both CentOS and Ubuntu were running in parallel, I could collect flame graphs at the same time (same time-of-day traffic mix) and compare them side by side. As a Xen guest, this profile was gathered using perf(1) and the kernel's software cpu-clock soft interrupts, not the hardware NMI. But I'm not completely sure.

Speed 126