ACM Sigarch

MARCH 25, 2019

With two blog posts, we argue for more use of simple models beyond Amdahl’s Law. Part 1 previously discussed Bottleneck Analysis and Little’s Law, while this post (Part 2) presents the M/M/1 Queue. Previously, Part 1 of these two blog posts provided our thesis that analytic models can complement measurement and simulations to give quick insight, show what is not possible, provide a double-check, and suggest future directions.

Systems 53

Systems Latency Performance C++ 53

The Polyglot Developer

MARCH 25, 2019

As you know, The Polyglot Developer is a static generated website that is built with Hugo. Given the nature of static generated websites, they are generally much faster than the CMS alternatives, but just because they’re fast, doesn’t mean they pass all of Google’s tests by default. In an ongoing effort to try to satisfy Google PageSpeed Insights and Lighthouse when it comes to search engine optimization (SEO) and other best practices, I was lead to the progressive web applicat

Cache 45

Cache Best Practices Google Website 45

QAMentor

MARCH 25, 2019

Artificial intelligence is currently being used in an array of sectors, from processing natural language to analyzing facial expressions, and more. It has become more of a buzzword in recent years. However, it’s also important to understand that the capability of artificial intelligence is constantly evolving. For example, Alexa and Siri were once considered state-of-the-art, … The post How Artificial Intelligence Can Help Software Testing?

Artificial Intelligence 45

Artificial Intelligence Software Software Testing 45

The Netflix TechBlog

MARCH 25, 2019

Building and Scaling Data Lineage at Netflix to Improve Data Infrastructure Reliability, and Efficiency By: Di Lin , Girish Lingappa , Jitender Aswani Imagine yourself in the role of a data-inspired decision maker staring at a metric on a dashboard about to make a critical business decision but pausing to ask a question?—?“Can I run a check myself to understand what data is behind this metric?

Infrastructure 219

Infrastructure Big Data Transportation Architecture 219