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PHILIPS LIGHTING:
LIGHTING THE WAY TO
HOME TRANSFORMATION
PHILIPS HUE
 Philips hue is a first globally successful Internet of Things product which control your lights from your smart
phone or tablet, or even with your voice.
 The Philips Hue bridge is the heart of the system.
 It unlocks endless possibilities through the Philips Hue app.
BASIC ARCHITECTURE
WHY CLOUD?
 It is estimated that there is over 1 Exabyte of data stored in the cloud at the moment, or 1,073,741,824
gigabytes of data.
 By adopting the cloud, companies are relying on an automated decision making system to reduce the
number of the staff they need to perform complex calculations, analysis, and to actually maintain the
system.
WHICH CLOUD?
o Public cloud
 A Public Cloud is implemented using a shared data center infrastructure of hardware and software that is
shared by multiple organizations. The data center is off-premises.
 The data, however, for each organization is kept separate.
 A Public Cloud may participate in a Hybrid Cloud.
 The following figure uses Customer Relationship Management (CRM) Software as a Service (SaaS) to
illustrate a Public Cloud.
PRIVATE CLOUD
 Philips chose Google Cloud Platform to power Philips Hue’s backend because it scales instantly, freeing
engineers to work on product development rather than managing infrastructure.
 Runs a platform at 10 times the scale of other similar projects with one-tenth the workforce.
 Routes 200 million transactions per day through a Google powered backend.
 Integrates Philips Hue with other smart home devices and platforms, including Nest.
 Apart from that, Philips Lighting needed a cloud platform that would let the apps securely
access, monitor, and interact with the new lighting system. The company decided to build the
backend using Google Cloud Platform.
 Philips Lighting built the Philips Hue backend with the help of design and engineering
services from Q42.
 Q42 makes apps, websites, connected devices, games, robots, AI and VR.
 Using Google Cloud Platform, Philips Hue was able to get services up and running quickly,
with minimal upfront costs and the confidence that the platform would scale to support the
ultimate success of the business.
 Today, Philips Lighting uses a full suite of Google Cloud Platform products to
power the backend.
 Google App Engine
 Google Cloud SQL
 Google Cloud Storage
 Google Compute Engine
APP ENGINE FEATURES
 Popular Languages - Node.js, Java, Ruby, C#, Go, Python, or PHP
 Open & Flexible - allow you to bring any library and framework to App
Engine
 Fully Managed – It lets you focus on code while App Engine manages
infrastructure concerns
CLOUD SQL FEATURES
 Scalability - Easily scale up to 64 processor cores and more than 400GB of RAM with in fraction of moment.
 High Performance - Deploy data with high speed.
 Security - Every Cloud SQL instance includes a network firewall, allowing you to control network access to
your database instance.
GOOGLE CLOUD STORAGE
 Highly scalable and performant
 Strongly consistent
COMPUTE ENGINE FEATURES
 Predefined Machine Types - Compute Engine offers predefined virtual machine configurations.
 Custom Machine Types - Create virtual machines with the shape (i.e. vCPU and memory) that is right for
your workloads.
 Linux & Windows Support - Run your choice of OS
 Batch Processing - Cost effectively run large compute and batch jobs
 Compliance & Security - All data written to persistent disk in Compute Engine is encrypted on the fly
and then transmitted and stored in encrypted form.
 Per-Second Billing - pay only for the compute time that you use.
Philips hue using google cloud
Philips hue using google cloud

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Philips hue using google cloud

  • 1. PHILIPS LIGHTING: LIGHTING THE WAY TO HOME TRANSFORMATION
  • 2. PHILIPS HUE  Philips hue is a first globally successful Internet of Things product which control your lights from your smart phone or tablet, or even with your voice.  The Philips Hue bridge is the heart of the system.  It unlocks endless possibilities through the Philips Hue app.
  • 4.
  • 5. WHY CLOUD?  It is estimated that there is over 1 Exabyte of data stored in the cloud at the moment, or 1,073,741,824 gigabytes of data.  By adopting the cloud, companies are relying on an automated decision making system to reduce the number of the staff they need to perform complex calculations, analysis, and to actually maintain the system.
  • 6. WHICH CLOUD? o Public cloud  A Public Cloud is implemented using a shared data center infrastructure of hardware and software that is shared by multiple organizations. The data center is off-premises.  The data, however, for each organization is kept separate.  A Public Cloud may participate in a Hybrid Cloud.  The following figure uses Customer Relationship Management (CRM) Software as a Service (SaaS) to illustrate a Public Cloud.
  • 8.  Philips chose Google Cloud Platform to power Philips Hue’s backend because it scales instantly, freeing engineers to work on product development rather than managing infrastructure.  Runs a platform at 10 times the scale of other similar projects with one-tenth the workforce.  Routes 200 million transactions per day through a Google powered backend.  Integrates Philips Hue with other smart home devices and platforms, including Nest.
  • 9.  Apart from that, Philips Lighting needed a cloud platform that would let the apps securely access, monitor, and interact with the new lighting system. The company decided to build the backend using Google Cloud Platform.  Philips Lighting built the Philips Hue backend with the help of design and engineering services from Q42.  Q42 makes apps, websites, connected devices, games, robots, AI and VR.  Using Google Cloud Platform, Philips Hue was able to get services up and running quickly, with minimal upfront costs and the confidence that the platform would scale to support the ultimate success of the business.
  • 10.  Today, Philips Lighting uses a full suite of Google Cloud Platform products to power the backend.  Google App Engine  Google Cloud SQL  Google Cloud Storage  Google Compute Engine
  • 11. APP ENGINE FEATURES  Popular Languages - Node.js, Java, Ruby, C#, Go, Python, or PHP  Open & Flexible - allow you to bring any library and framework to App Engine  Fully Managed – It lets you focus on code while App Engine manages infrastructure concerns
  • 12. CLOUD SQL FEATURES  Scalability - Easily scale up to 64 processor cores and more than 400GB of RAM with in fraction of moment.  High Performance - Deploy data with high speed.  Security - Every Cloud SQL instance includes a network firewall, allowing you to control network access to your database instance.
  • 13. GOOGLE CLOUD STORAGE  Highly scalable and performant  Strongly consistent
  • 14. COMPUTE ENGINE FEATURES  Predefined Machine Types - Compute Engine offers predefined virtual machine configurations.  Custom Machine Types - Create virtual machines with the shape (i.e. vCPU and memory) that is right for your workloads.  Linux & Windows Support - Run your choice of OS  Batch Processing - Cost effectively run large compute and batch jobs  Compliance & Security - All data written to persistent disk in Compute Engine is encrypted on the fly and then transmitted and stored in encrypted form.  Per-Second Billing - pay only for the compute time that you use.