HammerDB

APRIL 19, 2023

Instead, focus on understanding what the workloads exercise to help us determine how to best use them to aid our performance assessment. 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. Operating System: Ubuntu 22.04

Performance 54

Performance Benchmarking Cache Storage 54

The Netflix TechBlog

SEPTEMBER 10, 2024

Where aws ends and the internet begins is an exercise left to the reader. KeyValue is an abstraction over the storage engine itself, which allows us to choose the best storage engine that meets our SLO needs. For these requests where caching removed KeyValue from the hot path, we were able to greatly speed things up.

Latency 225

Latency Cache Tuning Efficiency 225

All Things Distributed

OCTOBER 2, 2017

As we began growing the AWS business, we realized that external customers might find our Dynamo database just as useful as we found it within Amazon.com. So, we set out to build a fully hosted AWS database service based upon the original Dynamo design.

Internet 124

Internet Internet AWS Performance 124

The Netflix TechBlog

MARCH 6, 2019

Mounting object storage in Netflix’s media processing platform By Barak Alon (on behalf of Netflix’s Media Cloud Engineering team) MezzFS (short for “Mezzanine File System”) is a tool we’ve developed at Netflix that mounts cloud objects as local files via FUSE. Our object storage service splits objects into many parts and stores them in S3.

Media 215

Media Storage Processing Cache 215