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2014 AWS RE:INVENT
和我們的故事
Mmik Huang
MMIK HUANG
 6 years in Trend, 2 years in IT and 4 years in QA
 12 years IT industry
 2014 project: SecureCloud disk encryption service @ AWS
 Current project: Deep Security @ Azure
PAIN POINT FOR RD/QA
 在過去4年的測試經驗中,發現最花時間的幾件事情有以下幾點
 In the previous 4 years experience, the pain point from RD/QA
 New feature/OS support.
 Prepare New OS template
 Keep system up to date
 Lab testing environment
 GA Deploy
 Collect log
 Cloud Service 可以幫助你解決的問題有哪些 ?
 What kind of cloud services you can use ?
 新版本的作業系統
 New version of OS
 自動化服務
 Automatically services
 有哪些Cloud我們有使用過?
 What kind of cloud we have experience?
 Aws (Xen)
 Azure (hyper-v)
 ETS (vCloud)
 Terremark (cloudstack)
 Hpcloud (openstack)
 Rackspace (openstack)
 試試看AWS吧 !!!
 Try AWS !!!
 極低的入門門檻
 Easy to leverage
 Free tier, easy to pay
 Free support
 SQL Services, Auto scale Services, monitoring Services……
CLOUD JOURNEY
 如果已經有使用Cloud的經驗,想要改善現有的測試架構,要如何開始?
 換個方式問: 如果你想蓋個房子,有哪幾種選擇?
 What is the first thing you will do, if you want to build a house?
 方案1: 直接動作做,大不了拆了重蓋?
 方案2: 聽聽看別人怎麼做?
 Option1: just do it~
 Option2: get advice from expert.
 以宅宅工程師的個性,方案1 !!!
 As a geek, option1 !!!
 做中學,從錯誤中學到經驗
 Learning from failure is a good thing.
 不過,如果是蓋300億的巨蛋呢?
 But if you want to build a 30 billion Taipei Dome?
 方案2 !!!
 Option2 !!!
 方案1跟方案2的差別在於哪裡?
 What is the different between option1 and option2?
 架構規劃
 Good planning before starting
 如果你想參考別人在AWS的架構,要去哪裡獲得呢?
 If you want to get advice for AWS services, where you can go?
 AWS Re:Invent !!!
 Learning AWS 2014 Re:Invent on Youtube
https://www.youtube.com/channel/UCd6MoB9NC6uYN2grvUNT-Zg
 Slide share
http://www.slideshare.net/AmazonWebServices/presentations
AWS 2014 RE:INVENT
MLB
 7TB of data per game, 2340 games per session = 17PB of raw data
 How will statcast change baseball (5:21)
 https://www.youtube.com/watch?v=847HY-JATrs
SUCCESS STORIES
 Yelp
 http://www.yelp.com/
 http://www.businessinsider.com/pacific-trust-
thinks-yelp-is-deteriorating-2015-4
 Map of restaurants
 S3: 1.2TB log per day
 Hadoop
MapReduce job: 30TB / 250 jobs
SUCCESS STORIES
SUCCESS STORIES
 AdRoll
 https://www.adroll.com/
 Provide CRM Service
 S3: 1.5PB
 Physical Servers
SUCCESS STORIES
 Kellogg
 http://www.kelloggs.com/en_US/home.html
 Food provider
 SAP HANA on AWS
 S3: 16TB
SUCCESS STORIES
 Novartis
 https://www.adroll.com/
 EC2: 10,600 spot instance
 Datacenter cost down (Own -> Rent)
 39 years data under 9 hours
 另外,聽聽看我們使用AWS的故事
 Here is our story
 出發前,當時測試環境的狀態
 嘗試使用AWS做測試環境,beta site,staging site
 嘗試透過AWS 作環境自動化
 嘗試建立 log collect system
 The status before AWS Re:invent
 Try to use AWS as test lab, beta site and staing server
 Try to use 3rd party tool to build environment automatically
 Survey and build log collect system.
 出發前收到 AWS 2014 Re:invent 的重點項目
 The hightlights of AWS 2014 Re:invent
 Service
 App development & mgmt.
 Big data & DR
 Security
 AWS development tool
 All kind of architecture
 Success stories in different view
 AWS infra enhance
 了解自己的需求,跟看過重點項目後
 記得出發前的第一件事情是
 Remember, the first thing before going to AWS Re:invent is
 針對自己需求選課!!!!,四天可以聽的東西實在多到爆炸…
 Pick sessions online, there are too many thing need to share in 4 days
 很多想聽的會衝堂,要提早做決定
 Sometimes, the sessions you want to go will start in the same time, you need to pick one
 最好提早一天到飯店,到的時候放完行李,就去會場逛逛,熟悉一下
 Go to seminar before AWS Re:Invent, check the map and the room location before you
go
 早起的鳥兒 AWS 有得吃,準時開動準時開課,記得帶個水瓶去,沙漠水很貴
 Get up early, you can get breakfast from AWS ($0, $28.99)
 Water is free in AWS, but not free outside
 人實在太多,很多資源都是有限的,座位,食物,正妹解說員 : P
 Attend to any session on time, everything is limited, food , seats, even representative : P
 這次參加AWS Re:Invent最大的收穫,不是上課,是認識人
 問講師問題,快速判斷哪些自動化服務可用,跟講師留聯絡資訊
 吃飯時跟旁邊其他的公司員工打屁,順便 promote 一下自己的產品
 去 Booth 看哪些廠商的產品可以試用看看
 The best experience from AWS Re:Invent is not the sessions, is ….
 Asking questions to presenter, learning failure experience from them
 Talking to the people seat with you, lunch with you, get some feedback related
to your own product
 Going to booth and survey what you can use on the market
 要認識人,記得要帶名片,還有準備一個 twitter account
 Bring your name cards there!!! As possible as you can, left email to 3rd party venders and
get evaluate license for service you are interesting.
 People use twitter there, not facebook, not line, not skype
 四天吸收足夠的最新資訊後,就可以決定一下…..
 After 4 days, you will learn a lot of new technical knowledge
 要賭一把大的,還是回家繼續當宅宅工程師
 You can decide to use it in casino, or go home
 回去後,運用新知識,做出測試環境自動化
 把小範圍測試,擴大測試範圍到100個OS
 把python code 移植到 aws
 利用 chef 做到auto launch/purge vm
 利用 Sumologic 蒐集log
 After back home, we use knowledge to enhance QA testing
 Extend OS coverage to 100
 Use the same python code to test AWS, ETS lab vm
 Use chef to build environment on AWS
 Use Sumologic as log collect system
 改善環境自動化後,對我們的效益
 Benefit for our product
 過去,非常多的地方需要QA花時間,人力下去準備
 Too many human resource (QA) manually trigger script, maintain environment
 Phrase1 prepare environment
 [QA] Launch AWS instance
 [QA] install staff
 [QA] Setup related environment information (hosts, DNS, shell)
 [QA] Save as template
 [QA] Study AWS api, write code to handle instance (start,stop)
 Phrase 2 trigger test
 [QA] Launch AWS instance
 [QA] execute python + staff
 [staff] Deploy testing code
 [staff] Trigger testing and collect result/log
 Phrase 3 get log and test result
 [QA] check instance one by one, cost high for investigate
 經過環境自動化改善後,每個階段都大幅減少人力的時間
 After leverage new knowledge, we can do things smart than before
 Phrase1 prepare environment
 [AWS] leverage default aws template, no need to customize
 Phrase 2 trigger test
 [QA] Launch AWS instance
 [Chef] execute python + staff
 [staff] Deploy testing code
 [staff] Trigger testing and collect result/log
 Phrase 3 get log and test result
 [Sumologic] collect log to Lab server
 [QA] check log, reproduce fail case
 並且讓品質測試更穩定,涵蓋率更高,需要的人力更少
 Product background
 Support OS template on AWS: 58 (windows/linux)
 Support AWS 11 regions (different region with different AWS template)
 Aws will renew template every 6 months
 AWS templates/regions will increase day by day
 Old day:
 Prepare 58 template every 6 months (launch instance, implement staff, save as template)
 Maximum coverage will be 638 templates (58*11) * ? hours
 Can not collect log back to lab
 New way:
 No need to prepare template, use default AWS template
 Using chef to launch instance in 15 sec then deploy staf/python code to client
 Collect log back to lab for investigate.
 新架構的好處
 Benefit for new test framework
 Benefit – easy scale out
 CSP (HP/Azure/AWS/vCloud…….)
 Zone (public/VPC/US/JP…..)
 OS (RHEL/Cent/uBuntu….)
 Benefit – easy adopt current test script
 You can move any shell command into chef
 Benefit – efficient
 testing for 1 instance from [1 day ] to [10-15 min]
 Benefit – Cost
 No storage cost for keep customized templates
 Benefit – easy investigate
 reduce cost for keep AWS vm running
 Centralized console for log search
 讓品質更好,不一定要全部都自己來
 在AWS Re:invent的Booth 認識了Chef的TAM,他幫我們搭建了跟工程師的橋梁
 淘汰了Puppet
 找到了三家collect log的廠商,在後來的POC決定用sumologic
REFERENCE
 如果聽完後,如果你對chef有興趣
 If you are interesting about chef software
 Create your first cookbook
 http://learn.getchef.com/legacy/tutorials/create-your-first-cookbook/
 Learning Chef on Youtube
 http://www.youtube.com/channel/UCxEieNpB_tXiUBoF9zkPmAw
 http://nathenharvey.com/blog/2012/12/06/learning-chef-part-1/
 Example
 http://gettingstartedwithchef.com/first-steps-with-chef.html
 如果聽完後,如果你對sumologic有興趣
 If you are interesting about sumologic software
 Sumologic official site
 https://www.sumologic.com/
 如果你正要去Las Vegas
 If you are interesting about Las Vegas
 Vegas
 bus
http://www.lasvegas-how-to.com/strip-downtown-express.php
 Show
https://www.caesars.com/ballys-las-vegas/shows/jubilee#.VE3YavmUd8G
 Buffet
http://www.totalrewards.com/microsites/las-vegas/buffet-of-buffets/
 Q&A

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