My session with PES about cloud computing and GCP introduction

1. Cloud & GCP 101
30-SEP-2020 | DSC, PES University Runcy Oommen

2. |In brief|
Generic cloud intro & overview
Specifics of cloud computing
GCP introduction
Learning resources for GCP (and cloud in general)
Cloud trainingcertifications
Where are we heading next?
Building a career in tech

3. Career
 Principal SDE, SONICWALL, 17+ yrs. industry experience
primarily in systems, cloud (private/public), security, networking
 10x multi-cloud certified (GCP, AWS, Azure, CNCF)
 Patent (India) in cloud security around distributed data storage
 Interested in serverless, containers and cloud native offerings.
Firm believer of a multi-hybrid cloud future
Community
 Organizer of GDG Cloud, AWS user Group and Cloud Native
meetup groups in Bangalore
 Regular speaker at domestic and international cloud, tech &
security conferences
 Multiple hackathon wins in cloud/security topics.
 Recognized by Google as a community influencer
[~]$ whoami
runcyoomme
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4. What does “Cloud Computing”
mean?
Cloud computing is the on-demand availability of
computer system resources (especially data
storage and computing power) without direct
active management by the user. The term is
generally used to describe data centers available
to many users over the Internet
Reference:
https://en.wikipedia.org/wiki/Cloud_computin

6. IT infrastructure & landscape
has undergone a paradigm
shift…

7. Traditional view

8. Modern view
PaaS

9. Ubiquitous
The cloud is always reachable
from anywhere, any time, any
device
Scalable
You can add new features and
thousands of users without breaking
a sweat
Integrated
Security and other services talk
to each other for full visibility
Comprehensive
The Cloud scans every byte –
ingress and egress – including SSL
& CDN
Intelligent
The cloud learns from every user and
connection; any new threat is blocked for
all
Important facets of
cloud

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11. Cloud

12. GCP - Compute
Capabilities
Compute
EngineVMs, GPUs and TPUs
Most common “cloud”
Kubernetes Engine
(GKE)Managed Kubernetes offering
For containerized workloads
App Engine
Managed app platform (PaaS)
Less overhead and easy setup
Cloud
FunctionsServerless functions
Event-driven and ephemeral

14. V
M Containe
r

17. How did we get here?

21. Cloud
Databases

22. GCP - Database
Capabilities
Cloud
SQLManaged MySQL,
PostgreSQL, SQL Server
Cloud Firestore
Serverless NoSQL document
style database
Cloud
BigtablePetabyte-scale, low-latency
Non-relational data
Cloud
SpannerRelational database
Horizontally scalable

23. Data &
Analytics

24. GCP – Data & Analytics
Capabilities
BigQuery
Data warehouseanalytics
Serverless offering
Cloud Composer
Managed workflow
orchestration service
Cloud
DataflowStreambatch data processing
High velocity needs
Cloud
DataprocManaged spark
and Hadoop

25. Cloud Networking

26. GCP – Networking
Capabilities
Cloud
CDNManaged Content Deliver
Network from GCP
Cloud Load
BalancingMulti-region load balancing
and distribution
Cloud Armor
Provides DDoS protection
Web Application Firewall
Cloud DNS
Programmable DNS for
serving resources

27. Cloud
Security

28. GCP – Security
Capabilities
Cloud
IAMBackbone for identity in cloud
Resource access control
Cloud
KMSHelp manage your keys
Hosted solution offering
Shielded
VMsHardened VMs
Prebuilt security controls
Cloud Security
ScannerSecurity scanner for your App
Engine deployments

29. Shared Responsibility Model (of
cloud)

30. https://github.com/gregsramblings/google-cloud-4-words

34. GCP specific training
resourcesSearch for official
exam guide on the
specific GCP
certification for
insights
Practice the concepts
with Qwiklabs. Credits
are paid; promos
available for quests
Video tutorials from
Coursera (official) is my
#1 recommendation
Do checkout courses
from ACG+LA as well for
some of the specialty
(security, n/w)
Subscribe to these YouTube channels:
• Learn GCP with Mahesh
• Awesome GCP
https://medium.com/@sathishvj/qwiklabs-
free-codes-gcp-and-aws-e40f3855ffdb

35. Multi-Hybrid Cloud – The New
Normal

37.  DON’T learn cloud, but understand the CS
fundamentals
 End of the day, majority workloads are based on x86/64
architecture mostly with Linux as the OS backbone
PS: Yes, there’s AMD, Windows etc…
 Always think in building blocks of compute, storage, memory
& networking but with different names
GCP Compute, AWS EC2, Azure Virtual MachineGCP CloudStorage, AWS S3, Azure Blob
Firestore, DynamoDB, CosmosDB BigQuery, Redshift, Synapse Analytics
 Think of cloud as a physical entity (servers) behind an API
endpoint
 GCP, AWS, Azure is NOT “cloud” but services defined by a
public API

39. “Build your fundamentals. Rest will
TAKE
AWAY

40. Questions | Comments |
Discussions
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