A high level introduction to Cloud Computing, including IaaS, SaaS, PaaS & iPaaS.

1. Cloud Computing
Introduction
@lopezlucasf

2. Cloud Computing
Cloud computing is a
style of computing in
which scalable and
elastic IT-enabled
capabilities are delivered
as a service using
internet technologies
Some Key Aspects
The resources are scalable and elastic in near
real time, and metered by use
The resources may be single-tenant or
multi-tenant, and hosted by the service provider
or on-premises in the data center
Self-Service interfaces are exposed directly to
the customer, including web-based UI and APIs
Source: Gartner 2017

3. Terminology
XaaS
IaaSNaaS RaaS
DaaS
SaaSAaaS
VPN VPC
PaaSiPaaS
MBaaS
aPaaS
FaaS
IDaaS
BPaaS
CaaS

4. Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Software
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
SaaS- Software as a Service
Rapid Deployment - it can be up and running in
just matter of hours
Specialized Offering - there are SaaS solution for
almost every business need
Difficult Differentiation - its low entry barrier
allows nearly any competitor adopt the same
technology
Speed & New Capabilities
Customization - large and/or complex
enhancements reduce benefit, increase cost and
foster vendor-lock
The Business acceleration & the Consumerization of IT​

5. Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Infrastructure
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
IaaS- Infraestructure as a Service
Location - it has the capability to be close to the
user instead to be centralized
Flexibility- it provides the freedom to deploy any
system no matter the requirements. Lift and
Shift approach
Consistency - the divergence on OS and Runtime
configuration increase operation complexity
Cost Savings & Consolidation
Operations - there is still the need to manage
foundation software components
Be able to grow without capital investments​

6. Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Platform
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
PaaS - Platform as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
I
Architecture - optimized for the cloud to achieve
benefits that are difficult in monolithic and
on-premise apps
Cost - the vendors are moving to very efficient
models for billing based on utilization, e.g. pay
per compute by second
Migration - existing apps require significant code
refactoring or rewriting
Focus & App Development
Maturity - the software practices around cloud
optimized apps are an addition step in the
learning cloud
Buy the commodity. Build the meaningful

7. Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Integration
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
iPaaS - Integration as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
I
Abstraction - provide a High Cohesion/Low
Coupling integration capability
Connectivity - Based on APIs and connectors, it
is capable to connect and orchestrated almost
any system
Logic - risk to implement business logic in the
middleware instead the application layer
Consistency and Reducibility
Infrastructure - Since it is more likely to be based
on IaaS than PaaS, costs need to be kept under
review
The next generation of integration software​

8. Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Software
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Platform
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Integration
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
Infrastructure
as a Service
Network
Storage
Servers
Virtualization
OS
Middleware
Runtime
Data
Applications
Customizations
On
Premise
XaaS - Everything as a Service

9. Cloud Services - The 3 Big Players
■ Each platform has their own characteristics and
benefits based on the customer profile​
■ The platforms are competing in features but also price​
■ Less granular billing models – per hour to per second​
■ Storage is one of the key cost drivers compared to
compute​
■ There is more than compute and storage –
Management, integration, AI & Machine Learning, IoT,
Development​ Tools
As in any competition, the customer ALWAYS win​ Source: Magic Quadrant for Cloud Infrastructure as a Service, Worldwide -
Gartner 2017
The Cloud War - Amazon vs Microsoft vs Google

10. One More Thing - AaaS & DaaS
Analytics as a Service & Data as a Service
The challenge is related how to transfer data
to the AaaS ​
AaaS
Unlock the big data potential without the
need to set-up and operate servers and
platforms
■ Some of the SaaS solutions already includes
strong Analytics solutions
■ Normally most of the Analytics platform are
deployed on premise, requiring a high
investment on hardware
■ Lately many cloud provider are adding
Analytics capabilities to their offering. From
Big Data platforms to Stream Analytics, from
Data Lakes to Machine Learning & AI
The challenge is how to expose data for
unspecific - ALL - consumers
DaaS
Break the silos barriers enabling share
data across and beyond the company
■ Most of the data oriented solutions for
Analytics or Reporting capabilities follows a
bottom-up architecture
■ The challenge arise when the data itself
become a product and it needs to be available
to the consumers
■ Typically just research oriented companies
offers Data as a product but as the platforms
grow, more companies are enabling this model

11. Further Reading
Open course available online - Self Paced
SAP Cloud Platform Essentials
(Update Q3/2017)
Extending SAP S/4HANA with SAP HANA
Cloud Platform
Microsoft Azure Virtual Machines
Microsoft Azure App Services
Architecting Distributed Cloud
Applications
AWS Cloud Practitioner Essentials
AWS Developer: Building on AWS

12. Thanks!
@lopezlucasf
https://www.linkedin.com/in/lopezlucas/