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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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Why Tcl is 700% faster than Python for database benchmarking

HammerDB

Python is a popular programming language, especially for beginners, and consequently we see it occurring in places where it just shouldn’t be used, such as database benchmarking. We use stored procedures because, as the introductory post shows, using single SQL statements turns our database benchmark into a network test).

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Crucial Redis Monitoring Metrics You Must Watch

Scalegrid

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. offers the Software Watchdog specifically designed for this purpose.

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Container security: What it is, why it’s tricky, and how to do it right

Dynatrace

To function effectively, containers need to be able to communicate with each other and with network services. If containers are run with privileged flags, or if they receive details about host processes, they can easily become points of compromise for corporate networks. Network scanners. Why is container security tricky?

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Grafana Dashboards: A PoC Implementing the PostgreSQL Extension pg_stat_monitor

Percona

This allows for much better data accuracy, especially in the case of high-resolution or unreliable networks. A script executing a benchmarking run: #!/bin/bash Multi-Dimensional Grouping : While pg_stat_statements groups counters by userid, dbid, queryid, pg_stat_monitor uses a more detailed group for higher precision.

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Redis vs Memcached in 2024

Scalegrid

Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility. It is designed to cache plain text values, offering fast read and write access to frequently accessed data. Memcached’s primary strength lies in its simplicity. Global Reach and Cloud Integration ScaleGrid.io

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Core Web Vitals Tools To Boost Your Web Performance Scores

Smashing Magazine

PageSpeed Compare is a page speed evaluation and benchmarking tool. It graphs server, network, CSS, Javascript, critical content, and image optimizations to show the potential savings you could gain by incorporating fixes into your site. Network and CPU are throttled for lab data tests for more realistic conditions. Once a week.