Percona

DECEMBER 11, 2023

DLVs are particularly advantageous for databases with large allocated storage, high I/O per second (IOPS) requirements, or latency-sensitive workloads. We performed a standard benchmarking test using the sysbench tool to compare the performance of a DLV instance vs a standard RDS MySQL instance, as shared in the following section.

AWS 101

AWS Benchmarking Performance Traffic 101

Scalegrid

JANUARY 25, 2024

This blog post lists the important database metrics to monitor. Key Takeaways Critical performance indicators such as latency, CPU usage, memory utilization, hit rate, and number of connected clients/slaves/evictions must be monitored to maintain Redis’s high throughput and low latency capabilities.

Metrics 130

Metrics Monitoring Latency Cache 130

HammerDB

OCTOBER 23, 2023

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

Benchmarking 62

Benchmarking Database Network C++ 62

Dynatrace

JUNE 27, 2022

RUM, however, has some limitations, including the following: RUM requires traffic to be useful. In some cases, you will lack benchmarking capabilities. Because RUM relies on user-generated traffic, it’s hard to indicate persistent issues across the board. connectivity, access, user count, latency) of geographic regions.

Best Practices 172

Best Practices Monitoring Wireless Traffic 172

Speed Curve

FEBRUARY 5, 2024

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

Servers Cache Retail Benchmarking 57

Percona

JUNE 22, 2023

In this blog, we will explore various MySQL KPIs that are basic and essential to track using monitoring tools like PMM. PMM captures the MySQL connection matrix It is important to provide appropriate max_connections and also monitor max_used_connections, max_used_connections_time to review the history of max usage to estimate the traffic.

Performance 108

Performance Monitoring Traffic Database 108

The Netflix TechBlog

OCTOBER 19, 2020

In our previous blog post we introduced Edgar, our troubleshooting tool for streaming sessions. If we had an ID for each streaming session then distributed tracing could easily reconstruct session failure by providing service topology, retry and error tags, and latency measurements for all service calls.

Infrastructure 233

Infrastructure Transportation Storage Open Source 233