Understanding Cloud Computing with Google Cloud Platform.

1. Understanding Cloud
Computing

2. Dr. Ketan Parmar
Sr. Tech Lead – InfoStretch Solutions Pvt. Ltd.
@kpbird
+ketanparmar
www.kpbird.com

5. Traditional Way
Apache
MySql
Programming Language
Apache
MySql
OS (Linux / Windows)
Not Scalable

6. Horizontal vs Vertical ScalingHorizontal v/s Vertical Scaling

7. Traditional Way
Happy Web Server 
Sad Database 
Not Scalable
Apache
MySql
Apache Apache

8. Traditional Way
Happy Web Server 
Master DB may die
Not Scalable
ApacheApache
MySql
Apache
MySql
Master Read / Write Slave Read

9. Traditional Way
Not Scalable

10. Problem
• Hard to Scale
• Hard to Manage
• Costly
• Complex Deployment
• Skilled People
• Unpredictable Load / Spike
• Security
• Software License

11. Necessity is the mother of invention

12. Cloud Computing
“A style of computing in which dynamically
scalable and often virtualized resources are
provided as a service over the Internet.”

13. Cloud Computing

14. Cloud Computing

15. Cloud Computing

16. Cloud Computing

17. Cloud Computing

18. Scalability Elasticity
"Increasing" the capacity to meet the "increasing"
workload.
"Increasing or reducing" the capacity to meet the
"increasing or reducing" workload.
In a scaling environment, the available resources
may exceed to meet the "future demands".
In the elastic environment, the available
resources match the "current demands" as closely
as possible.
Scalability adapts only to the "workload increase"
by "provisioning" the resources in an "incremental"
manner.
Elasticity adapts to both the "workload increase"
as well as "workload decrease" by "provisioning
and deprovisioning" resources in an "autonomic"
manner.
Scalability enables a corporate to meet
expected demands for services with "long-term,
strategic needs".
Elasticity enables a corporate to meet
unexpected changes in the demand for services
with "short-term, tactical needs".
Scalability vs ElasticityScalability v/s Elasticity

19. Google Cloud Platform

20. Google Cloud Platform
Compute
Compute Engine
App Engine
Storage
Cloud Data Storage
Cloud SQL
Cloud Storage
Networking
Load Balancing
Interconnect
DNS
Big Data
Big Query
Data Flow
Cloud Pub/Sub
Services
Cloud DNS
Cloud Endpoint
Cloud Translate
Prediction

21. Google App Engine
Platform as a Service in Google Cloud Platform

22. Google App Engine
• Popular Languages and Frameworks
• Focus on your code
• Multiple Storage Options
• Powerful built-in Services
• Familiar Development Tools
• Deploy at Google Scale

23. Google App Engine
• Easy to Build
• All you need to do is preparing your application code
• Easy to Run
• Deploy with single command, and it works
• Easy to Scale
• Scale on GAE is automated and easy to configure

24. Google App Engine
• Java
• Support standard APIs like JDO, JPA, JavaMail, etc.
• Python
• Python 2.7 and full support of any phone libraries
• PHP
• Preview stage, but enough to run wordpress
• Go
• Experimental stage

25. Google App Engine
• DataStore API
• Memcache API
• Mail API
• URL Fetch API
• Users API
• Image API
• Blobstore API
• Task Queue API
• Mapper API

26. Google App Engine
Hard Limit
• 10 - Apps per developer
• 30 sec - Time per request
• 2 GB - Blobstore size
• 10 MB - HTTP request size
• 10 MB - HTTP response size
• 1 MB - Datastore item size
• 3000 - Number of files per app
• 10 MB - Size of any static or app file
• 150 MB - Application code size
• 5000 - Number of values in an index for an entity
• 500 - Number of entities in a batch put or delete

27. Google App Engine

28. Google Compute Engine
• High Performance Virtual Machines
• Power by Google’s Global Network
• Pay for what you use – Really
• Fast and easy provisioning
• Compliance and Security
• Click to Deploy

29. Google Compute Engine
Machine types determine the physical
specifications of your machines, such as the
amount of memory, virtual cores, and
persistent disk limits an instance will have. All
machine types are currently managed by
Google Compute Engine.
Machine types are divided in different classes,
including:
• Standard machine types
• High CPU machine types
• High memory machine types
• Small machine types

30. Google Compute Engine

31. Google Compute Engine

32. Google Compute Engine
All machine types are charged a minimum of 10 minutes. For example, if you
run your instance for 2 minutes, you will be billed for 10 minutes of usage. After
10 minutes, instances are charged in 1 minute increments, rounded up to the
nearest minute. For example, an instance that lives for 11.25 minutes will be
charged for 12 minutes of usage.

33. Google Compute Engine
If you run an instance for a significant portion of the billing month, you can
qualify for a sustained use discount. When you use an instance for more than
25% of a month, Compute Engine automatically gives you a discount for every
incremental minute you use for that instance. The discount increases with
usage and you can get up to a 30% net discount for instances that run the
entire month. Sustained use discounts are calculated and applied to your bill at
the end of the month.

34. Google Compute Engine

35. Cloud SQL
Store and manage data using a fully-managed, relational
MySQL database. Google handles replication, patch
management and database management to ensure
availability and performance.
• Familiar Infrastructure
• Flexible Charging
• Security, Availability, Durability
• Easier Migration; No Lock-in
• Control
• Fully managed

36. Cloud Storage
Use a durable and highly available object storage service. With
global edge-caching, your users have fast access to your app’s
data from any location.
• Secure and safe
• Competitive and flexible pricing
• Object storage with a fully-featured API
• Flexible access
• Get started now

37. Cloud DataStore
Use a managed, NoSQL, schemaless database for storing non-
relational data. Cloud Datastore automatically scales as you
need it and supports transactions as well as robust, SQL-like
queries.
• Schemaless access, with SQL-like querying
• Managed database
• Autoscale with your users
• ACID transactions
• Built-in redundancy
• Local development tools
• Access your data from anywhere

38. Cloud Networking
Google's network technology helps provide fast and
consistent performance for your apps and services.
• Load Balancing
• HTTP*, Network (TCP, UDP)
• Interconnect
• Direct Peering
• VPN
• Cloud DNS

39. Data Flow (Alpha)
Build, deploy, and run data processing pipelines that scale
to solve your key business challenges. Google Cloud
Dataflow enables reliable execution for large scale data
processing scenarios such as ETL (Extract, Transform, Load),
analytics, real-time computation, and process
orchestration.
• Unified programming model
• Managed scaling
• Reliable & consistent processing
• Built for the cloud
• Monitoring

40. Cloud Pub/Sub (Preview)
Connect your services with reliable, many-to-many,
asynchronous messaging hosted on Google's infrastructure.
Cloud Pub/Sub automatically scales as you need it and
provides a foundation for building your own robust, global
services.
• Reliable and real-time messaging
• Flexibility to embrace change
• Designed for Google scale
• Designed for Fast Data

41. Google’s Infrastructure

42. Cloud Hosting Architecture

43. Question?

44. Dr. Ketan Parmar
Sr. Tech Lead – InfoStretch Solutions
Pvt. Ltd.
@kpbird
+ketanparmar
www.kpbird.com
Thank You
http://goo.gl/IdUkvN