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April 2015 Blog Posts (2)
JavaOne
Folks,
Perhaps this is old news for you, but JavaOne San Francisco registration is live. Various saving options are available leading up to the conference, and to take advantage of the current US$600 in savings registration needs to be completed by May 31st, 2015 (11:59pm PT).
I encourage you to read through the registration options by visiting the JavaOne registration site:…
Added by Michael Levin on April 24, 2015 at 11:00am — No Comments
An Inside Look at the Components of a Recommendation Engine
Recommendation engines help narrow your choices to those that best meet your particular needs. In this post, we’re going to take a closer look at how all the different components of a recommendation engine work together. We’re going to use collaborative filtering on movie ratings data to recommend movies. The key components are a collaborative filtering algorithm in Apache Mahout to build and train a machine learning model,…
ContinueAdded by Carol McDonald on April 13, 2015 at 9:14am — 1 Comment
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Notes
Welcome to Codetown!
Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.
Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.
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InfoQ Reading List
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By Renato LosioGoogle Cloud Introduces Chaos Engineering Framework and Recipes for Distributed Systems
Google Cloud's Expert Services Team has released a detailed guide on chaos engineering for cloud-based distributed systems. It highlights that the intentional creation of failures is essential for developing resilient architectures. The initiative provides open-source recipes and helpful guidance for applying controlled disruption testing in Google Cloud environments.
By Claudio MasoloArticle: When Reverse Proxies Surprise You: Hard Lessons from Operating at Scale
Operating massive reverse proxy fleets reveals hard lessons: optimizations that work on smaller systems fail at scale; mundane oversights like missing commas cause major outages; and abstractions meant to simplify become hidden fragility points. Success requires profiling on target hardware, relentlessly monitoring boring details, keeping hot paths lean, and trusting instrumentation over theory.
By Mitendra Mahto
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