Scalegrid

MARCH 28, 2024

Key Takeaways Redis offers complex data structures and additional features for versatile data handling, while Memcached excels in simplicity with a fast, multi-threaded architecture for basic caching needs. Redis Data Types and Structures The design of Redis’s data structures emphasizes versatility.

Cache 130

Cache Storage Scalability Architecture 130

The Morning Paper

MAY 14, 2019

Seer: leveraging big data to navigate the complexity of performance debugging in cloud microservices Gan et al., Finally, we show that Seer can identify application level design bugs, and provide insights on how to better architect microservices to achieve predictable performance. ASPLOS’19.

Big Data 45

Big Data Cloud Performance Hardware 45

Rigor

JANUARY 13, 2020

Take, for example, The Web Almanac , the golden collection of Big Data combined with the collective intelligence from most of the authors listed below, brilliantly spearheaded by Google’s @rick_viscomi. Information Architecture. Designing for Performance. High Performance Responsive Design. Mobile First.

Performance 75

Performance Social Media Website Website Performance 75

Percona

JANUARY 19, 2023

This may not be a huge problem for small tables, but for tables with millions of records, overprovisioning data types will only make the table to be bigger in size and performance, not the most optimal. Make sure you design the data types correctly while planning for the future growth of the table.

Open Source 90

Open Source Storage Database Big Data 90

All Things Distributed

NOVEMBER 19, 2010

There was an excellent first benchmarking report of the Cluster GPU Instances by the folks at Cycle Computing - " A Couple More Nails in the Coffin of the Private Compute Cluster " The Top500 supercomputer list. a Fast and Scalable NoSQL Database Service Designed for Internet Scale Applications. Science & Engineering.

AWS 67

AWS Cloud Benchmarking Storage 67

Highly Scalable

MARCH 10, 2015

This article describes six major optimization problems related to marketing and pricing that can be solved leveraging data mining techniques. Although these problems are very different, we are trying to establish a common framework that helps to design optimization and data mining tasks required for solutions.

Retail 152

Retail C++ Analytics Metrics 152