The presentation provides a brief Introduction to Google Cloud Services and Platforms. In the course of this slide, we will introduce you the different Google cloud computing options, Compute Engine, App Engine, Cloud function, Databases, file storage and security features of Google cloud platform.

1. Google Cloud Platfrom
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Build, test, deploy and scale with ease.

2. Why Cloud?
• Flexibility and scalability
• Cost effectiveness
• Reliability
• Security
• Quick deployment time
• Low cost
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3. Google
8 cloud products with 1 billion users
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4. Why Google Cloud?
• High-Performance, scalable VMs
• Measured service & pay-as-you-go pricing model
• Global networks, over 33 geographic locations & multiple availability zones
• Automated container management
• Serverless Applications on Google’s Infrastructure
• Allows developers to focus on development
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5. Scale
• On-demand delivery of resources
• Automatically scale to handle demanding load
• Automatic scaling down when resources are no longer being used.
• Use-case: Pokemon go.
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6. Focus on product
• Managed services
• Handy developer tools and API’s
• Advanced management tools and console
• Highly secure.
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7. Availability regions
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https://cloud.google.com/about/locations

8. Networks
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9. Google Cloud Platform
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Compute
Compute
Engine
Container
Engine
App Engine Cloud
Functions
Storage
Bigtable
Cloud
Storage
Cloud SQL Cloud
Datastore
Big Data
Big
Query
Pub/Sub Dataflow Dataproc Datalab
Machine Learning
Natural Lang
API
Vision
API
Machine
Learning
Search
API
Translate
API

10. Computing
App Engine (PaaS)
PaaS for apps and backends.
Compare to Elastic Beanstalk or Web Apps.
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Container (Kubernettes) Engine
Run containerized applications.
Compare to ECS or Azure Container Service.
Compute Engine (SaaS)
Scalable, high performance VMS
Compare to EC2 or ARM VMs
Cloud Functions
Event-driven serverless compute platform.
Compare to Lambda or Azure Functions.

11. Compute Engine (GCE)
• Compute Engine is an Infrastructure-as-a-Service
• Run large-scale workload on virtual machines hosted on Google
infrastructure.
• Configure, customize the VM that fits your need.
• Complete control over VM’s and runtime.
• You have to manually configure your infrastructure to handle scalability by
using Load Balancer, etc.
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12. Compute Engine
• Mostly do-it-yourself, which can be challenging
to do adequately for reliability and security.
• More management overhead.
• Autoscaling is based on GCE instances, which
can be slower than App Engine
• Tendency is to install software on snowflake
GCE instances, which can be some effort.
Pros Cons
• Easy to ramp up, no need to learn Google
platform or how container container.
• Complete control. You can leverage many
Compute Engine features directly and install the
latest of all your favorite stuff to stay on the
bleeding edge.
• No need for public IPs.
• You can leverage the Container-Optimized OS
for running Docker containers
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13. App Engine (GAE)
• App Engine is a Platform-as-a-Service
• Run you App on fully scalable and fully-managed platform
• Since GAE is fully scalable, it automatically scale up/down to serve the
traffic
• Use engine, when you just want to focus on your code and not worry about
maintenance.
• Currently supports Python, PHP, Java, NodeJS, .NET, Ruby and **Go
languages.
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14. App Engine
• Generally more constrained
• Although this is good for rapid autoscaling,
many apps can benefit from larger instances,
such as GCE instance sizes up to 96 cores.
• Networking is not integrated
• Cannot put App Engine behind a Google Cloud
Load Balancer.
• Limited to supported runtimes. Supports Python
2.7, Java 7 and 8, Go 1.6-1.9, and PHP 5.5. In
Java, partial support for Servlets but not the full
J2EE standard.
Pros Cons
• Very economical for low traffic apps.
• Auto-scaling is fast.
• Version management and traffic splitting are fast
and convenient
• Minimal management, developers need to focus
only on their app.
• Access to Datastore is fast.
• Access to Memcache is supported.
• App Engine sandbox is very secure. Compared
with the development on GCE or other virtual
machines.
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15. Databases
Cloud Datastore
NoSQL document database service
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Cloud Bigtable
NoSQL wide column database services
Compare to DynamoDB or Azure Cosmo DB.
Cloud SQL
MySQL and PostgreSQL databases
Compare to RDS or Azure DB
Firebase
Store and sync data realtime

16. Cloud Datastore
• Fully managed relational mySQL database
• Automatic patch, backup, replication and other db management to ensure
high availability and performance.
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17. Storage
Cloud Filestore
High performance file storage
Compare to EFS or Azure files
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Persistance Disk
Block storage for VM instances
Compare with EBS or Page Blob
Cloud Storage
Object storage with global edge-caching
Compare with S3 and Blob storage
Cloud Memory store
Fully managed in-memory data store
Currently in BETA
Cloud Firestore
NoSQL document database service
Syncing for mobile apps

18. Cloud storage
• Durable and highly available object storage service
• Global edge caching that allow object access from any locations
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19. Networking
Cloud Armor
Protect from DoS and web attacks
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Cloud Load balancer
Compare to ELB or Azure Load balancer /
Application gateway
Virtual Private Cloud
VPC network for GCP resources
Cloud CDN
Compare to CloudFront, EdgeCast or Akamai
Cloud DNS
Compare to S3 or Azure DNS

20. Management
Logging
Logging for applications on GCP and AWS
Compare to CloudTrail or Azure Usage API
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Monitoring
Monitoring for applications on GCP and AWS.
Compare to CloudWatch or Azure Monitor.
Stackdriver
Monitor, logging and diagnostics
Find performance bottlenecks in production.
Investigate code behavior and identify
application errors.
Cloud Deployment manager
Manage cloud resources with simple templates
Compare to CloudFormation & Azure resource
manager.

21. Developer tools
Container registry
Fast, private image storage.
Compare to CodePipeline.
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Cloud Shell
Command-line management from any browser.
Compare to CLI.
Cloud SDK
CLI for GCP products and services.
Compare to AWS SDK or Azure SDK.
IntelliJ, PowerShell, VS, Eclipse
plugins
Monitoring for applications on GCP and AWS.
Compare to CloudWatch or Azure Monitor.

22. Security features
Enterprise grade access control
• Authorize access and visibility to manage cloud resources.
Cloud Key Management Service
• Manage encryption keys on GCP
Cloud Identity-Aware Proxy
• Controls access to your cloud applications running on Google Cloud Platform
Security key enforcement
• 2-step verification with a security key uses cryptography to provide two-way
verification.
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23. Security features..
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Automated Cloud Security Scanner
• Automatic web security scanner for common vulnerabilities.
• Scan and detect common vulnerabilities, including cross-site-scripting (XSS),
Flash injection, mixed content (HTTP in HTTPS), and outdated/insecure libraries.
Cloud Security Command Center
• A comprehensive security and data risk platform that gather data, identify threats,
and act on them before they result in business damage

24. < Thank you :) />
Nilanchala Panigrahy
twitter.com/@npanigrahy | stacktips.com
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References
• https://cloud.google.com/docs/
• https://cloud.google.com/pricing/
• https://cloud.google.com/about/locations
• https://cloud.google.com/security/