This document provides an introduction to cloud computing, including what cloud is, its benefits and drawbacks, common cloud service models (SaaS, PaaS, IaaS), major cloud providers, and common cloud computing services. Key cloud computing services discussed include compute services (like AWS EC2 and Google Compute Engine), databases, storage, and additional AI/ML and serverless services. The document also highlights some free cloud credits and resources available for students.

1. Intro to Cloud

2. Sign In! Please sign-in via QR Code or
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3. The Problem
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4. The Problem
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5. What is da cloud
● Online collection of software and services
● Runs on servers throughout the world
● Alternative to local physical hardware
● Driven by virtualization
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6. Benefits of cloud
● Low initial investment
○ Economy of scale
● Scalable/Flexible
○ provide more servers when needed
● Rapid Deployment
● Very consistent, 99.99+% uptime for AWS
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7. why cloud bad
● Expensive once scaled
○ on-premise solution might be
cheaper at a certain point
● Vendor lock-in
● Improper configurations can be very
harmful
● Giving up control
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8. Saas, PaaS, and IaaS
● Software as a Service
(SaaS)
○ Ex. Shopify, Slack
● Platform as a Service (Paas)
○ Ex. Heroku, Netlify
● Infrastructure as a Services
(IaaS)
○ Ex. DigitalOcean,
Sketchy minecraft
server hosting site
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9. Cloud Providers
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● Cloud market is booming
● Azure carried by enterprises
● AWS and GCP most familiar to college
students

10. Compute Services
● Fall under IaaS
○ Usually Specced/Billed
by hardware (CPUs,
Memory, GPU)
● Provisioned virtual machine
or bare metal server
● Often used with docker
● Costing you money as long
as they’re running
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11. AWS EC2/Google
Compute Engine
● Probably the most used cloud service in
existence (EC2)
● Choose from a number of machines with the
resources that you expect to use
● Can easily resize and stop instances
● Autoscale computing resources based on
metrics
● Free tiers are actually pretty good
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12. DigitalOcean/Linode
● Solid alternatives if you just
need a server
● Generally cheaper and
shallower learning curve
than mainstream providers
● Most economic if you expect
to have a consistent
workload
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13. Databases
● Relational (SQL)
○ Structured data
○ Better for queries
○ Tends to favor AWS
● Key-Value (noSQL)
○ Nested data
○ Generally better
performance
○ Tends to favor GCP
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14. Storage
GCP Offerings:
● Nearline, Coldline, Archive
○ Used for backups
○ Tiered based on
availability and cost
● Persistent disks
○ Unmanaged
○ Scale when read only
● Filestore
○ Managed
○ Read/Write capable
○ Built on NFS
AWS Offerings:
● Simple Storage Service (S3)
○ static web content
● S3 Glacier
○ low cost storage
○ rarely accessed data
● Storage Gateway
○ link on-prem and online
services
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15. Additional Services
● ML
● Data analysis
● BigQuery
● ML SageMaker
● Serverless with Lambda
● App Development/Deployment
with Amplify
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16. Free Stuff
● Github Student Developer Pack
○ Digitalocean, Azure - $100
○ https://education.github.com/pack?
○ Tons of other useful stuff
● AWS
○ $100 from Educate
○ https://aws.amazon.com/free/
○ $100 Aws credit for Alexa skill
■ Possible to have recurring monthly
● GCP Free
○ https://cloud.google.com/free
○ Free GPU in google collab
● Azure Free Tier
○ https://azure.microsoft.com/en-us/free/
● Hackathon Credit - Look for cloud sponsors
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17. “
Which one do I choose?
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18. Don’t do this
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:(
● Remember to close your instances
● Never expose your API keys
○ Put keys in .env file
○ Put .env file in .gitignore

19. Questions?

20. Sources
● https://www.statista.com/chart/18819/worldwide-market-share-
of-leading-cloud-infrastructure-service-providers/
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21. Demo Links
● https://cloud.google.com/sdk
● https://cloud.google.com/free
● https://cloud.google.com/compute/docs/gcloud-
compute/common-commands
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