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DPS909 & OSD600 Fall 2019

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* Readings for this week: [https://people.gnome.org/~jdub/bzr/planet/devel/trunk/ source code for Planet]
 
== Week 9 ==
 
* Hacktoberfest 2019 Stats
** 62 Students and a 95% completion rate (4 or more PRs)
** 246 PRs, with 56% currently merged
** 647 Commits to 881 files
** 32K lines of code added, 14K lines removed
** Languages
*** Most popular: JS/TS (124), Python (25), HTML/CSS (28), C/C++/C# (27), Java (14)
*** New/Interesting: Swift (4), PHP (3), Go (2), Rust (2), and 1 in each of OCaml, PowerShell, Ruby, Elixir, Kotlin, Shell
** Notable Projects:
*** xterm.js, Polymer, Bitcoin, Angular, Ethereum, VSCode, Microsoft (Calculator, React Native Windows, STL), Jest, Facebook, WordPress, node.js, Nasa, Salesforce, Mozilla, Home Assistant, Google, Instacart,
 
* Releases 0.3 - due Friday Nov 15
** Be working on your external PR
** Everyone needs a telescope Issue by the end of the week. We need to make this happen together
** Friday's Lab will require you to document what you are doing for both.
 
* Open Source Case Study: Redis
** [https://redis.io/ Redis (REmote DIctionary Server)]
** https://github.com/antirez/redis - [https://www.openhub.net/p/redis ~175K lines of code]
** Cross-platform, high performance, in-memory, key/value, data structure database server. Written in mostly in C, as well as Tcl and Lua, with front-ends in just about every language and platform.
** [https://github.com/antirez/redis/blob/unstable/COPYING BSD 3-Clause]
** Started in 2009 by [https://github.com/antirez Salvatore Sanfilippo (antirez)]
** Since 2015, development has been sponsored by Redis Labs (see https://en.wikipedia.org/wiki/Redis_Labs)
** Redis is among the most popular NoSQL databases in the world, and the most popular key/value store. It is used by everyone:
*** Twitter
*** Instagram
*** GitHub
*** StackOverflow
*** Pinterest
*** Snapchat
*** Shopify
*** AirBnB
*** Uber
*** Tumblr
*** Slack
*** Medium
*** Imgur
*** Kickstarter
** Common Use Cases:
*** User Session Cache (e.g., reduce DB lookups for user info, shopping cart data)
*** Full Page Cache (e.g., by URL or route)
*** Queues (e.g., Message Queue, Worker Queue)
*** Counting (e.g., metrics, analytics)
*** Pub/Sub (e.g., chat systems, notifications)
** Redis Tutorial and Walkthrough: https://try.redis.io/
* [http://antirez.com/news/124 Writing Code Comments] based on [https://github.com/antirez/redis/tree/32e0d2376fe91e76be04bb62825af5d95737b13e 32e0d237 commit]
* His [https://www.youtube.com/channel/UCDDG9vOcmgwlslJJpCWjqOg YouTube channel] has more video discussions of the code in Redis

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