[{"data":1,"prerenderedAt":195},["ShallowReactive",2],{"project-18995551":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":28,"sentiment":29,"stance_mix":30,"scored_comments":33,"aspects":34,"strip":38,"post_text":41,"what":42,"said":56,"maker_in_thread":118,"shape":122,"grid":125,"attempts":155,"same_week":156,"maker_shows":15,"maker_hidden":187,"reader_version":188,"card":189},"18995551","Queueing theory","Queueing theory intro for software developers","title","Show HN: Queueing theory intro for software developers","https:\u002F\u002Fgithub.com\u002Fjoelparkerhenderson\u002Fqueueing_theory","github.com","jph",1548390265,2019,126,12,364,2195,17,"notable","learning_science","educational write-up","other",[24,25,26,27],"queueing theory","little's law","software development","devops metrics","mixed",0.063,{"positive":31,"neutral":31,"mixed":32,"critical":32},2,1,6,{"idea":35,"docs":36},{"positive":32,"critical":32},{"positive":32,"critical":37},0,[32,37,37,39,37,37,37,40,37,40,39,39],3,5,null,{"problem":43,"audience":50,"pricing":41,"motivation":41,"time_to_build":41,"stack":54,"openness":55,"stage":55,"team_size":55},{"value":44,"source":45,"evidence":46},"Explains queueing theory concepts in software development contexts.","maker",[47],{"id":48,"by":11,"text":49},"18995578","Request for comments about queueing theory. This is a one-page GitHub README that introduces queueing theory and does it in context of software development, such as product…",{"value":51,"source":45,"evidence":52},"Software developers and devops teams.",[53],{"id":48,"by":11,"text":49},[],"unknown",{"praise":57,"objections":70,"requests":82,"questions":98,"alternatives":110},[58],{"value":59,"source":60,"evidence":61},"Good introduction to queueing terminology and KPIs","commenter",[62,66],{"id":63,"by":64,"text":65},"18999771","prickledpear","This is a good introduction to the terminology and symbology used to describe queues, and the KPIs that it highlights are useful. I'm left wishing that the writeup included some…",{"id":67,"by":68,"text":69},"18997185","kreck","Nice write up on a completely underrated but important and universal topic. I had to deal with queuing theory a lot in university in a course on stochastic modeling. IMHO you…",[71,75],{"value":72,"source":60,"evidence":73},"Lacks concrete applications and counterintuitive results",[74],{"id":63,"by":64,"text":65},{"value":76,"source":60,"evidence":77},"Missing Little's law",[78],{"id":79,"by":80,"text":81},"18998172","Sahhaese","I did an undergrad course on queueing theory and I'm surprised there's no mention of little's law here. Is there some reason it doesn't \"apply\" here?",[83,90,94],{"value":84,"source":60,"evidence":85},"Add Little's law",[86,87],{"id":79,"by":80,"text":81},{"id":88,"by":11,"text":89},"18998542","Good idea! I'll add it.",{"value":91,"source":60,"evidence":92},"Add Markov chains and stationary distribution",[93],{"id":67,"by":68,"text":69},{"value":95,"source":60,"evidence":96},"Add more real-world applications",[97],{"id":63,"by":64,"text":65},[99],{"value":100,"source":60,"evidence":101},"Why the Poisson distribution is justified for arrivals",[102,106],{"id":103,"by":104,"text":105},"18997016","zvrba","> a poisson distribution of incoming calls with a rate r1 This is what always confuses me about queueing theory. The analysis is valid assuming a particular distribution, but the…",{"id":107,"by":108,"text":109},"18997254","beagle3","Poisson is the limit distribution you converge to when n people each flip a coin with probability p to do something, when you drive n to infinity but keep np constant. It is well…",[111],{"value":112,"source":60,"evidence":113},"Ciw Python queueing library and a video introduction",[114],{"id":115,"by":116,"text":117},"18998507","motohagiography","Recommend this video instead. Comes with a python library (Ciw). https:\u002F\u002Fwww.youtube.com\u002Fwatch?v=0_sIus0mPSM I played with some python queuing to model an analysis pipeline of…",{"comments":31,"answered":32,"key":119},[120,121],{"id":88,"text":89},{"id":48,"text":49},{"commenters":123,"max_depth":39,"maker_replies":31,"first_comment_mins":124,"lifespan_hours":15},10,8,[126,128,130,134,136,139,140,143,145,146,150,153],[79,37,32,127,80,37],"project\u002Fcritical\u002Fidea",[88,37,37,129,11,32],"maker\u002Fpositive\u002Fdocs",[131,32,37,132,133,37],"18996940","other\u002Fneutral\u002Fnone","spapas82",[103,32,39,135,104,37],"project\u002Fneutral\u002Fidea",[137,32,37,138,133,37],"18997039","commenter\u002Fneutral\u002Fidea",[107,32,37,138,108,37],[141,32,37,132,142,37],"18997164","SuddsMcDuff",[67,31,40,144,68,37],"project\u002Fpositive\u002Fdocs",[48,39,37,135,11,32],[147,39,40,148,149,37],"18995992","project\u002Fpositive\u002Fidea","shay_ker",[115,151,39,152,116,37],4,"project\u002Fneutral\u002Fdocs",[63,40,39,154,64,37],"project\u002Fmixed\u002Fdocs",[],[157,162,167,172,177,182],{"id":158,"name":159,"points":160,"category":161},"19025560","Open Startups (postmake.io\u002Fopen)",475,"data",{"id":163,"name":164,"points":165,"category":166},"19017270","X-spreadsheet",347,"languages",{"id":168,"name":169,"points":170,"category":171},"19025709","AiFiddle",216,"ai",{"id":173,"name":174,"points":175,"category":176},"19023196","Apprise",163,"infrastructure",{"id":178,"name":179,"points":180,"category":181},"18997160","MadCO2",146,"hardware",{"id":183,"name":184,"points":185,"category":186},"19013445","Notepin",144,"productivity",false,"v2",{"id":190,"name":5,"line":6,"ai":187,"cat":20,"year":13,"points":14,"comments":15,"rec":28,"s":191,"top":18,"kw":192,"maker":11,"domain":10,"tier":19,"attempts":37,"strip":193,"url":9,"mix":194,"praise":59,"objection":72,"sub":21},18995551,0.06,[24,25,26,27],"100300050533",[31,31,32,32],1794036574292]