Remove Benchmarking Remove Event Remove Latency Remove Network
article thumbnail

Why you should benchmark your database using stored procedures

HammerDB

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

article thumbnail

How to Improve MySQL AWS Performance 2X Over Amazon RDS at The Same Cost

Scalegrid

As organizations continue to migrate to the cloud, it’s important to get in front of performance issues, such as high latency, low throughput, and replication lag with higher distances between your users and cloud infrastructure. No more network-based EBS, just blazing-fast local SSD. MySQL Performance Benchmark Configuration.

AWS 183
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

Redis vs Memcached in 2024

Scalegrid

On the other hand, an append-only file ensures data safety by recording every write operation that modifies the dataset, allowing for complete data reconstruction in the event of a restart. Snapshots provide point-in-time captures of the dataset, which are efficient for recovery on startup.

Cache 130
article thumbnail

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems

The Morning Paper

An open-source benchmark suite for microservices and their hardware-software implications for cloud & edge systems Gan et al., A typical architecture diagram for one of these services looks like this: Suitably armed with a set of benchmark microservices applications, the investigation can begin! ASPLOS’19.

article thumbnail

Real user monitoring vs. synthetic monitoring: Understanding best practices

Dynatrace

Data collected on page load events, for example, can include navigation start (when performance begins to be measured), request start (right before the user makes a request from the server), and speed index metrics (measure page load speed). In some cases, you will lack benchmarking capabilities. RUM generates a lot of data.

article thumbnail

Supercomputing Predictions: Custom CPUs, CXL3.0, and Petalith Architectures

Adrian Cockcroft

Here’s some predictions I’m making: Jack Dongarra’s efforts to highlight the low efficiency of the HPCG benchmark as an issue will influence the next generation of supercomputer architectures to optimize for sparse matrix computations. In early January a related paper was published by Satoshi Matsuoka et. petaflops, which is 0.8%

article thumbnail

Netflix at AWS re:Invent 2019

The Netflix TechBlog

We’ve compiled our speaking events below so you know what we’ve been working on. In this talk, we share how Netflix deploys systems to meet its demands, Ceph’s design for high availability, and results from our benchmarking. In order to maintain performance, benchmarking is a vital part of our system’s lifecycle.

AWS 100