article thumbnail

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
article thumbnail

The evolution of single-core bandwidth in multicore processors

John McCalpin

For most high-end processors these values have remained in the range of 75% to 85% of the peak DRAM bandwidth of the system over the past 15-20 years — an amazing accomplishment given the increase in core count (with its associated cache coherence issues), number of DRAM channels, and ever-increasing pipelining of the DRAMs themselves.

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

How to use Server Timing to get backend transparency from your CDN

Speed Curve

Looking at the industry benchmarks for US retailers , four well-known sites have backend times that are approaching – or well beyond – that threshold. Pagespeed Benchmarks - US Retail - LCP When you examine a waterfall, it's pretty obvious that TTFB is the long pole in the tent, pushing out render times for the page.

Servers 57
article thumbnail

PostgreSQL: Pgpool-II Use Cases and Benefits

Percona

In this blog post, we will explore the benefits of using pgpool-II for PostgreSQL. Query caching Pgpool-II can cache frequently used queries in memory, reducing the load on your PostgreSQL servers and improving response times. Two benchmarks from users can be found here: [1] [2] 4.

Cache 111
article thumbnail

The Most Important MySQL Setting

Percona

To illustrate this, I ran the Sysbench-TPCC synthetic benchmark against two different GCP instances running a freshly installed Percona Server for MySQL version 8.0.31 In MySQL, considering the standard storage engine, InnoDB , the data cache is called Buffer Pool. In PostgreSQL, it is called shared buffers.

Tuning 134
article thumbnail

The Return of the Frame Pointers

Brendan Gregg

Only in extreme circumstances does the cost (in processor time and I-cache footprint) translate to a tangible benefit - circumstances which usually resort to hand-coded assembly anyway. It shouldn't be 10%, unless it's cache effects. And for leaf routines (which never establish a frame), this is a non-issue.

Java 145
article thumbnail

How to Assess MySQL Performance

HammerDB

In this blog, we aim to call out some key considerations when trying to assess MySQL performance for your application. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench. Benchmarking the target Two of the more popular database benchmarks for MySQL are HammerDB and sysbench.