Varnish (software) | Wikipedia audio article
Channel: wikipedia tts
Date: 2019-01-18

This is an audio version of the Wikipedia Article:
https://en.wikipedia.org/wiki/Varnish_(software)


00:01:02 1 History
00:02:17 2 Architecture
00:04:25 3 Performance
00:05:06 3.1 Performance metrics
00:05:49 3.2 Metric collection
00:06:19 3.2.1 varnishstat
00:07:05 3.2.2 varnishlog
00:07:25 4 Load balancing
00:07:47 5 Other features
00:08:37 6 See also



Listening is a more natural way of learning, when compared to reading. Written language only began at around 3200 BC, but spoken language has existed long ago.

Learning by listening is a great way to:
- increases imagination and understanding
- improves your listening skills
- improves your own spoken accent
- learn while on the move
- reduce eye strain

Now learn the vast amount of general knowledge available on Wikipedia through audio (audio article). You could even learn subconsciously by playing the audio while you are sleeping! If you are planning to listen a lot, you could try using a bone conduction headphone, or a standard speaker instead of an earphone.

Listen on Google Assistant through Extra Audio:
https://assistant.google.com/services/invoke/uid/0000001a130b3f91
Other Wikipedia audio articles at:
https://www.youtube.com/results?search_query=wikipedia+tts
Upload your own Wikipedia articles through:
https://github.com/nodef/wikipedia-tts
Speaking Rate: 0.8365190257932335
Voice name: en-US-Wavenet-E


"I cannot teach anybody anything, I can only make them think."
- Socrates


SUMMARY
=======
Varnish is an HTTP accelerator designed for content-heavy dynamic web sites as well as APIs.  In contrast to other web accelerators, such as Squid, which began life as a client-side cache, or Apache and nginx, which are primarily origin servers, Varnish was designed as an HTTP accelerator. Varnish is focused exclusively on HTTP, unlike other proxy servers that often support FTP, SMTP and other network protocols.
Varnish is used by websites including Wikipedia, online newspaper sites such as The New York Times, The Guardian, The Hindu, Corriere della Sera, social media and content sites such as Facebook, Twitter, Reddit, Vimeo, and Tumblr. In 2012, 5% of the top 10,000 sites in the web used the software.