Configuring & Optimizing WebSocket Compression

“Good news, browser support for the latest draft of “Compression Extensions” for WebSocket protocol — a much needed and overdue feature — will be landing in early 2014: Chrome M32+ (available in Canary already), and Firefox and Webkit implementations should follow.

Specifically, it enables the client and server to negotiate a compression algorithm and its parameters, and then selectively apply it to the data payloads of each WebSocket message: the server can compress delivered data to the client, and the client can compress data sent to the server…”

https://www.igvita.com/2013/11/27/configuring-and-optimizing-websocket-compression/

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Optimizing NGINX TLS Time To First Byte (TTTFB)

“Network latency is one of our primary performance bottlenecks on the web. In the worst case, new navigation requires a DNS lookup, TCP handshake, two roundtrips to negotiate the TLS tunnel, and finally a minimum of another roundtrip for the actual HTTP request and response — that’s five network roundtrips to get the first few bytes of the HTML document!

Modern browsers try very hard to anticipate and predict user activity to hide some of this latency, but speculative optimization is not a panacea: sometimes the browser doesn’t have enough information, at other times it might guess wrong. This is why optimizing Time To First Byte (TTFB), and TLS TTFB in particular due to the extra roundtrips, is critical for delivering a consistent and optimized web experience…”

https://www.igvita.com/2013/12/16/optimizing-nginx-tls-time-to-first-byte/

Naive Bayes and Text Classification I

“Naive Bayes classifiers, a family of classifiers that are based on the popular Bayes’ probability theorem, are known for creating simple yet well performing models, especially in the fields of document classification and disease prediction.
In this first part of a series, we will take a look at the theory of naive Bayes classifiers and introduce the basic concepts of text classification. In following articles, we will implement those concepts to train a naive Bayes spam filter and apply naive Bayes to song classification based on lyrics…”

http://sebastianraschka.com/Articles/2014_naive_bayes_1.html