article thumbnail

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. In addition, distributed data is a key factor in high availability.

Metrics 130
article thumbnail

How to Assess MySQL Performance

HammerDB

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

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

Advanced X-Ray: reducing runtime by re-using VMs.

n0derunner

How to speed up your X-ray benchmark development cycle by re-using/re-cycling benchmark VMs and more importantly data-sets. Assuming we have enough storage bandwidth, the throughput. Problem: For large datasets, creating the data on-disk can be time consuming.

article thumbnail

MySQL Key Performance Indicators (KPI) With PMM

Percona

Query performance Query performance is a key performance indicator (KPI) in MySQL, as it measures the efficiency and speed of query execution. They include backup success rate, backup duration, recovery time objective (RTO), recovery point objective (RPO), and backup storage utilization.

article thumbnail

PostgreSQL Performance Tuning: Optimizing Database Parameters for Maximum Efficiency

Percona

PostgreSQL performance optimization aims to improve the efficiency of a PostgreSQL database system by adjusting configurations and implementing best practices to identify and resolve bottlenecks, improve query speed, and maximize database throughput and responsiveness. Why is PostgreSQL performance tuning important?

Tuning 52
article thumbnail

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

Percona

Enhanced User Experience Whether you operate an e-commerce platform, a content management system, or any other application reliant on MySQL, users will notice and appreciate the improved speed and responsiveness. By analyzing disk I/O metrics, you can optimize queries to reduce disk reads or upgrade to faster storage solutions.

Tuning 52
article thumbnail

Five Data-Loading Patterns To Improve Frontend Performance

Smashing Magazine

On your first try, you can use it as a benchmark for optimizations later. Caching partially stores your data and is not used as permanent storage. Using the cache as permanent storage is an anti-pattern. Data-loading patterns are one way you can optimize your applications’ speed.