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Understanding cloud with Google Cloud Platform


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Understanding Cloud Computing with Google Cloud Platform.

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Understanding cloud with Google Cloud Platform

  1. 1. Understanding Cloud Computing
  2. 2. Dr. Ketan Parmar Sr. Tech Lead – InfoStretch Solutions Pvt. Ltd. @kpbird +ketanparmar
  3. 3. Traditional Way Apache MySql Programming Language Apache MySql OS (Linux / Windows) Not Scalable
  4. 4. Horizontal vs Vertical ScalingHorizontal v/s Vertical Scaling
  5. 5. Traditional Way Happy Web Server  Sad Database  Not Scalable Apache MySql Apache Apache
  6. 6. Traditional Way Happy Web Server  Master DB may die Not Scalable ApacheApache MySql Apache MySql Master Read / Write Slave Read
  7. 7. Traditional Way Not Scalable
  8. 8. Problem • Hard to Scale • Hard to Manage • Costly • Complex Deployment • Skilled People • Unpredictable Load / Spike • Security • Software License
  9. 9. Necessity is the mother of invention
  10. 10. Cloud Computing “A style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.”
  11. 11. Cloud Computing
  12. 12. Cloud Computing
  13. 13. Cloud Computing
  14. 14. Cloud Computing
  15. 15. Cloud Computing
  16. 16. 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
  17. 17. Google Cloud Platform
  18. 18. 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
  19. 19. Google App Engine Platform as a Service in Google Cloud Platform
  20. 20. 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
  21. 21. 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
  22. 22. 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
  23. 23. Google App Engine • DataStore API • Memcache API • Mail API • URL Fetch API • Users API • Image API • Blobstore API • Task Queue API • Mapper API
  24. 24. 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
  25. 25. Google App Engine
  26. 26. 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
  27. 27. 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
  28. 28. Google Compute Engine
  29. 29. Google Compute Engine
  30. 30. 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.
  31. 31. 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.
  32. 32. Google Compute Engine
  33. 33. 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
  34. 34. 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
  35. 35. 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
  36. 36. 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
  37. 37. 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
  38. 38. 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
  39. 39. Google’s Infrastructure
  40. 40. Cloud Hosting Architecture
  41. 41. Question?
  42. 42. Dr. Ketan Parmar Sr. Tech Lead – InfoStretch Solutions Pvt. Ltd. @kpbird +ketanparmar Thank You