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Redis® Monitoring Strategies for 2024

Scalegrid

Identifying key Redis® metrics such as latency, CPU usage, and memory metrics is crucial for effective Redis monitoring. To monitor Redis® instances effectively, collect Redis metrics focusing on cache hit ratio, memory allocated, and latency threshold. It is important to understand these challenges properly to find solutions for them.

Strategy 130
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InnoDB Performance Optimization Basics

Percona

Hardware Memory The amount of RAM to be provisioned for database servers can vary greatly depending on the size of the database and the specific requirements of the company. Some cloud providers also offer specialized instances for database workloads, which may provide additional features and optimizations for performance and scalability.

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MySQL Performance Tuning 101: Key Tips to Improve MySQL Database Performance

Percona

This results in expedited query execution, reduced resource utilization, and more efficient exploitation of the available hardware resources. This reduction in latency ensures that applications and websites provide a more rapid and responsive user experience. This can significantly elevate user satisfaction and engagement.

Tuning 52
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Image CDN - Speed Up the Delivery of Your Most Important Asset

KeyCDN

Using an image CDN, such as KeyCDN, can significantly reduce the latency of your image delivery. This is crucial due to mobile devices requiring additional optimizations because they typically have less powerful hardware and a slower network connection when compared to desktop devices. Mbps ( Opensignal ). How Can an Image CDN Help?

Speed 52
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Why Traditional Monitoring Isn’t Enough for Modern Web Applications

Dotcom-Montior

Modern web applications and pages, such as single-page applications, that put the user experience at its utmost priority are expected to be available 24/7, anywhere in the world, usable on any screen size, secure, flexible, scalable and be ready to meet traffic spikes on demand. Network latency. Hardware resources. Wi-Fi usage.

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How to maximize CPU performance for PostgreSQL 12.0 benchmarks on Linux

HammerDB

cpupower frequency-info analyzing CPU 0: driver: intel_pstate CPUs which run at the same hardware frequency: 0 CPUs which need to have their frequency coordinated by software: 0 maximum transition latency: Cannot determine or is not supported. hardware limits: 1000 MHz - 4.00 hardware limits: 1000 MHz - 4.00

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HammerDB Best Practice for PostgreSQL Performance and Scalability

HammerDB

This limitation is at the database level rather than the hardware level, nevertheless with up to date hardware (from mid-2018) PostgreSQL on a 2 socket system can be expected to deliver more than 2M PostgreSQL TPM and 1M NOPM with the HammerDB TPC-C test. . CPUs which run at the same hardware frequency: 0. Latency: 0.