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![Images by Connie Zhou
Wired, 'Google Throws Open Doors To Its Top Secret Data Center', October 2012
Google's Platform
"[Google's] ability to build, organize, and
operate a huge network of servers and
fiber-optic cables with an efficiency and
speed that rocks physics on its heels.
This is what makes Google Google: its
physical network, its thousands of fiber
miles, and those many thousands of servers
that, in aggregate, add up to the mother of
all clouds."
- Wired](https://image.slidesharecdn.com/sharednode-140519101720-phpapp01/75/node-js-on-Google-Compute-Engine-7-2048.jpg)
![Images by Connie Zhou
Wired, 'Google Throws Open Doors To Its Top Secret Data Center', October 2012
Google's Platform
"[Google's] ability to build, organize, and
operate a huge network of servers and
fiber-optic cables with an efficiency and
speed that rocks physics on its heels.
This is what makes Google Google: its
physical network, its thousands of fiber
miles, and those many thousands of servers
that, in aggregate, add up to the mother of
all clouds."
- Wired](https://crownmelresort.com/image.slidesharecdn.com/sharednode-140519101720-phpapp01/75/node-js-on-Google-Compute-Engine-7-2048.jpg)
Uploaded byArun Nagarajan
node.js on Google Compute Engine
This document discusses running Node.js applications on Google Compute Engine. It provides an overview of Compute Engine and how to set it up, install Node.js, and create a sample Node.js application. The document also mentions other Google Cloud Platform services like Cloud Storage, Cloud SQL, and App Engine.
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node.js on Google Compute Engine
- 1. Google confidential │Do not distributeGoogle confidential │ Do not distribute Running Node.js on Google Compute Engine Arun Nagarajan google.com/+ArunNagarajan @entaq
- 2. Intro Google Cloud Platform Livedemo Questions Agenda: May 8th, 2014 2 4 3 1
- 3. 75 years 1957 2003 2013 500 25 years 10 years (averageage of a company joining the S&P 500)
- 4. The decreasing costof storage enables virtually limitless storage in the cloud. $600 can buy enough storage for the world’s music* . (Source: McKinsey Global Institute May 2011) Computing as a utility is now available for easy purchase, provided from massively efficient data centers. (Source: Nicholas Carr, The Big Switch, 2008) The internet allows for a model of real-time access to new innovation, information and applications from a wide range of devices. Affordable capacity On-demand computing Instant access Big Trends *more accurately, one could store 3.6 million music tracks at 3.5 MB each, assuming ~$50/TB HDD storage price. Noted by John Wilkes!
- 5. Google confidential |Do not distribute “People tend to overestimate what can be done in one year and to underestimate what can be done in five or ten years.” Amara's Law
- 6. Google confidential |Do not distribute Cloud Platform is built on the same infrastructure that powers Google. For the past 15 years, Google has been building out the world’s fastest, most powerful, highest quality infrastructure on the planet.
- 7. Images by ConnieZhou Wired, 'Google Throws Open Doors To Its Top Secret Data Center', October 2012 Google's Platform "[Google's] ability to build, organize, and operate a huge network of servers and fiber-optic cables with an efficiency and speed that rocks physics on its heels. This is what makes Google Google: its physical network, its thousands of fiber miles, and those many thousands of servers that, in aggregate, add up to the mother of all clouds." - Wired
- 8. 72 hours 100 MillionGigabytes Over 425 Million 1/4 second Video uploaded to YouTube every minute Google's "Caffeine" Search index, circa 2010 Number of active Gmail users How long it takes for Google to respond to a search query Google and Big Data
- 9. $2.9B in additionaldata center investments worldwide Investing In Our Infrastructure
- 10. Store data withreliability, redundancy and consistency Go from data to meaning At scale Fast Google white papers Google File System (2003) MapReduce: Simplified Data Processing on Large Clusters (2004) BigTable: A Distributed Storage System for Structured Data (2006) Dremel: Interactive Analysis of Web-Scale Datasets (2010) Machine Translation (2004-2011) 2008 2010 2002 2004 2006 2012 GFS MapReduce Big Table Colossus Spanner Dremel FlumeJava Pregel What Did We Learn? To Innovate!
- 11. Application Runtimes &Services ● Iterate & deploy fast ● Scale to global demand ● Standards compliant Data Services ● Data Intelligence ● Designed for Big Data ● High Performance Data Storage and Distribution ● Global Resilient Architecture ● Global Edge Distribution ● Huge Secure Capacity Global Data Centre & Networks ● Highly Resilient, Efficient & Performant ● 3rd Largest Server Manufacturer ● 2nd Largest Global Data Network Google Research Publications referenced are available here: http://research.google.com/pubs/papers.html Company’s ApplicationsGoogle Products etc... App Engine, Cloud Endpoints BigQuery, Flume Cloud Storage, Cloud SQL, Cloud DataStore Compute Engine, Cloud Networking, Cloud DNS GRTE, Stubby, BorgCron Sawmill, Dremel, MapReduce Colossus, BlobStore, Spanner, BigTable, F1 Borg, GFE, GSLB, GTC
- 12.
- 13. Managed by CompaniesManaged by Google Cloud Computing SaaS Software-as-a-Service Applications Data Runtime Middleware OS Virtualization Servers Storage Networking Applications Data Runtime Middleware OS Virtualization Servers Storage Networking Applications Data Runtime Middleware OS Virtualization Servers Storage Networking IaaS Infrastructure-as-a-Service Applications Data Runtime Middleware OS Virtualization Servers Storage Networking PaaS Platform-as-a-Service Packaged Software
- 14. Google confidential │Do not distribute Storage Cloud Storage Cloud SQL Cloud Datastore Compute Compute Engine App Engine App Services BigQuery Cloud Endpoints Google Cloud Platform
- 15.
- 16. ● Google’s Infrastructure-as-a-Service ●Create Linux VMs, and connect to them as you would any other remote machine ● Static + Dynamic Addressing ● Persistent disks and snapshotting ● Live migration ● Network and firewall creation ● Load balancing ● Regional and zonal resources for high availability Compute Engine Features
- 17. Google confidential │Do not distribute “Google Compute Engine is not just fast. It’s Google fast. In fact, it’s a class of fast that enables new service architectured entirely.” - Sebastian Stadil, Scalr Scalr
- 18. ● Built onChrome's JavaScript runtime ● Building fast, scalable network applications. ● Uses an event-driven, non-blocking I/O model ● Lightweight and efficient ● Perfect for data-intensive real-time applications ● Run across distributed devices. Node.js
- 19. Google confidential │Do not distribute Compute Engine Images by Connie Zhou
- 20. ● console.developers.google.com ● createproject ● setup billing ● Install gcloud tool - ○ curl https://sdk.cloud.google.com | bash Compute Engine Setup
- 21. ● gcloud componentsupdate compute ● gcloud auth login ● gcloud config set project eastern-button-574 ● gcloud compute instances create arun-hello-world --zone europe-west1-a ● gcloud compute firewalls create allow-http --description "Incoming http allowed." --allow tcp:80 ● gcloud compute ssh arun-hello-world --zone europe-west1-a Alternatives: ● gcutil - still around but gcloud is focus ● REST API - very powerful ● UI - easy to use Compute Engine Create Instance
- 22. Google confidential │Do not distribute Cloud Credit $500 Code - “dr-in” Images by Connie Zhou
- 23. ● sudo apt-getinstall python g++ make checkinstall ● mkdir ~/src && cd $_ ● wget -N http://nodejs.org/dist/node-latest.tar.gz ● tar xzvf node-latest.tar.gz && cd node-v* ● ./configure ● sudo checkinstall (make sure to fix version) Compute Engine node.js installation
- 24. application: my-application runtime: go vm:true … manual_scaling: instances: 1 vm_settings: machine_type: n1-standard-1 apt_get_install: redis-server vim Built using Modules https://developers.google.com/appengine/docs/python/modules/ Limited preview - https://developers.google.com/cloud/managed-vms Managed VMs (limited preview)
- 25. Google confidential │Do not distribute Images by Connie Zhou