Benchmarking Cache Speed Storage 
Scalegrid
MARCH 28, 2024
Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis is better suited for complex data models, and Memcached is better suited for high-throughput, string-based caching scenarios.
Scalegrid
JANUARY 25, 2024
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. Cache Hit Ratio The cache hit ratio represents the efficiency of cache usage.
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HammerDB
APRIL 19, 2023
As database performance is heavily influenced by the performance of storage, network, memory, and processors, we must understand the upper limit of these key components. For storage, FIO is generally used. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. 0.42 %sys 9.52
Percona
MARCH 23, 2023
By caching hot datasets, indexes, and ongoing changes, InnoDB can provide faster response times and utilize disk IO in a much more optimal way. Storage The type of storage and disk used for database servers can have a significant impact on performance and reliability. Benchmark before you decide.
HammerDB
JUNE 27, 2022
This post is targeted towards the questions most often asked by non-technical management who want to get up to speed on what HammerDB is (what it isn’t) and how it can benefit their organization. HammerDB is a software application for database benchmarking. What is HammerDB? Derived Workloads. The NOPM Metric.
Percona
JUNE 22, 2023
Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. This includes metrics such as query execution time, the number of queries executed per second, and the utilization of query cache and adaptive hash index.
Smashing Magazine
SEPTEMBER 28, 2022
On your first try, you can use it as a benchmark for optimizations later. Active Memory Caching. When you want to get data that you already had quickly, you need to do caching — caching stores data that a user recently retrieved. Caching partially stores your data and is not used as permanent storage.
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