The document discusses the evolution and future of technology, particularly in relation to cloud computing and Software as a Service (SaaS). It highlights the significant growth in cloud adoption, projecting that 94% of companies will be using the cloud, with SaaS revenue expected to reach $85.1 billion in 2019. The text also mentions serverless computing and hybrid fog computing as integral to scalable and reliable cloud solutions.

2. “The only constant in the
technology industry is change”
Marc Benioff

4. 2008 2011 2014 2018 2020 2024
5.2B 25.5B 78B 141B 159B 166B

5. TERMINALS & TERMINAL ACCESS TO
MAINFRAME APPLICATIONS

6. MULTIPLE DISTRIBUTED SERVERS &
DESKTOP APPLICATIONS

7. LARGE SERVERS &
CLIENT-SERVER APPLICATIONS

8. MULTIPLE DISTRIBUTED SERVERS &
WEB SITE HOSTING

9. HIGH DENSITY SERVER FARMS &
INTERNET APPLICATIONS

10. VIRTUALIZED &
CLOUD-ENABLED APPLICATIONS

11. WHERE COULD THE FUTURE LEAD US?
CAAS
?
?

12. 94% OF COMPANIES ARE
ON THE CLOUD

13. CLOUD DATA CENTERS WILL PROCESS 94% OF
WORKLOADS IN 2021

14. 89% OF COMPANIES USE
SAAS

15. THE REVENUE FROM SAAS IS EXPECTED TO
REACH $85.1 BILLION IN 2019

16. 75% OF ALL CLOUD WORKLOADS AND
COMPUTE INSTANCES WILL BE SAAS BY 2021
HOW CAN WE ACHIEVE SAAS IN A SCALABLE
AND RELIABLE WAY?

18. SERVERLESS

19. SERVERLESS

20. FUTURE IS HYBRID

21. FOG COMPUTING

22. END DEVICES
FOG COMPUTING
CLOUD SERVICES

23. END DEVICES
FOG COMPUTING
CLOUD SERVICES
SERVERLESS
JUSTCODE

24. AZURE
AZURE
STACK HUB
AZURE
STACK HCI
AZURE
STACK EDGE
CLOUD
CLOUD-NATIVE
INTEGRATIVE
SYSTEM
HYPERCONVERGED
SOLUTIONS
CLOUD
MANAGED
APPLIANCE
RUN EDGE
COMPUTING
WORKLOADS
RUN
VIRTUALIZED
APPLICATIONS
ON-PREMISES
USE CLOUD
SERVICES ON
PREMISES
RUN INSIDE
CLOUD

25. AZURE
AZURE
STACK HUB
AZURE
STACK HCI
AZURE
STACK EDGE
CLOUD
AZURE STACK
(CLOUD P/SAAS)
AZURE STACK
(VM & STORAGE)
AZURE DATA BOX
EDGE

30. REST | GRAPHQL | ROA | RDF | REMOTE API

32. DEVELOPMENT CLOUD
EMULATORS
EMULATORS
λ

33. INFRASTRUCTURE AS A SERVICE

34. INFRASTRUCTURE AS A SERVICE
PROMOTE FEEDBACK | ENABLING COMMUNICATION | CORRELATE DATA
ACROSS PLATFORMS | FLURRY ALERTS | PAST AND PREDICT PERFROMANCE |
SOFTWARE TESTING

35. CUSTOM PROFILES FOR SPECIFIC
INDUSTRY & BUSINESS DOMAINS

36. COST OF INFRASTRUCTURE WILL BE AS A UTILITY
WITH NO UPFRONT COST
CUSTOM PROFILES FOR SPECIFIC
INDUSTRY & BUSINESS DOMAINS

38. CPU | GPU | TPU | QPU

39. CHEAP AI & ML INFRASTRUCTURE
OUT OF THE BOX SOLUTIONS INSIDE CLOUD

41. PREDICTABLE

43. WHAT WE CAN DO TO SUPPORT
CLOUD AS A SERVICE?

45. Thank you!
@RaduVunvulea
vunvulearadu.blogspot.com
https://www.linkedin.com/in/raduvunvulea/
vunvulear@outlook.com