This slide deck explores the evolution of middleware, the status quo, and discussion about how, at WSO2, we think those technologies will evolve. Watch video: https://wso2.com/library/conference/2018/07/wso2con-usa-2018-unravelling-todays-disruptive-tech-landscape/

1. Vice President, Research,
WSO2
Unravelling Todays Disruptive Tech
Landscape
Srinath Perera

3. ● Landscape and market forces shape technology competition
○ With the added complexity that the landscape changes very fast
● Global Market Outlook (internal use)
○ Categorize middleware into segments and subsegments and estimate their
sizes and growth
● Global Technology Outlook (externally published)
○ A yearly critical review of emerging tech
● Goals
○ Internal understanding and planning
○ Sharing how we think about current and future markets
○ A means for dialog and feedback
CTO Office

4. Middleware Landscape (Market Outlook)
● We identified seven segments
○ Apps
○ Integration - ESB, APIs, Messaging, Workflows
○ Observability
○ Storage - RDBMS & NoSQL
○ Infrastructure - DevOps and Orchestration
○ Security
○ IoT
● We did an exercise to estimate their size and growth (CAGR)

5. ObservabilityApps Integration
AI & Analytics
Infrastructure
Security
Middleware Landscape
Application
Platforms
4.5(7%)
aPaas
ESB
Data
Integration
Analytics
AI
Storage
Data
Center
Automation
IoT
IMG
iPaas
API iSaaS
APM
Log
Analytics
DevOps
iDaaS
Access
Management
Security
Analytics
PIM
iDaaS
Legend
Growth>20%
10%<Growth <20%
Growth<10%
Increasing Growth
Decreasing Growth
Stream
Processing
CIAM
2B(25%)
1B(50%) 3.5(2%) 2.5(5%)
1B(50%) 1B(50%)
4B(25%) 3B(25%)
25(5%)
3B(5%) 40B(10%)
2.0(5%) 2B(34%)
0.5B
(30%)
3B(5%)
1B
(50%)
1B(30%) 1.5B(40%) 1.5B(20%)
Container
Orchestration

6. Interactions Between Segments
IoT
Integration
InfrastructureStorage
Security
AI&Analytics
Observability
Apps

7. Emerging Technologies (ET) Shapes the Landscape
IoT
Integration
InfrastructureStorage
Security
AI&Analytics
Observability
Apps
Sharing
Economy
3D Printing
Fintech
ServiceMesh
Serverless
Blockchain
Quantum
Computing
Chatbots
AR/VR

8. Understanding ETs: History
EDI
AI(take 1) RPC
Automatic
computing
VM
NoSQL Binary
RPC JSON
Chatbots
GPU
Deep
Learning
Big Data
AI
Serveless Blockchain
API IoT
Edge
Computing
AR/VR
3D
Printing
Quantum
Computing
Limited Success
Died
Major Impact
Current
Semantic Web
Cloud
DevOps
Containers
Microservices
ROA
SOA
Web
Services
CORBA
RMI
OOP
Design
Patterns
XML
-2000
2000-05
2005-10
2010-15
2015-
Legend

9. Understanding ETs: Gartner Hype Cycle

10. Understanding ETs: Carlota Perez Framework

12. ServiceMesh
Serverless
BlockChain
AR/VR
Chatbots
Quantum
Computing
3DPrinting
Sharing
Economy
Fintech
IoT
AI&Analytics
Apps
Security
Integration
Observability
Infra&Cloud
Storage
Cost Saving Agility,
& Productivity
Automation
Communication,
Integration, and
Trust
Loose Coupling
Between Entitle
Lack of
Programmers
Privacy
Government
Policy and Law
Complexity
Security
Monopoly/
Vendor Lock-in

13. ServiceMesh
Serverless
BlockChain
AR/VR
Chatbots
Quantum
Computing
3DPrinting
Sharing
Economy
Fintech
IoT
AI&Analytics
Apps
Security
Integration
Observability
Infra&Cloud
Storage
Cost Saving Agility,
& Productivity
Automation
Communication,
Integration, and
Trust
Loose Coupling
Between Entitle
Lack of
Programmers
Privacy
Government
Policy and Law
Complexity
Security
Monopoly/
Vendor-Lock-in
Cost savings is the
key driver!
Everything
drives
integration

14. Fintech AR/VR
Quantum
Computing
3D
Printing
ServiceMesh Serveless
Sharing
Economy
Blockchain
Chatbots
EDA BigData
AI/ML
API
Microservices
Cloud-Native
IoT
Potential Impact
StageofProgress
Major Advantage Change Industry Worldwide
Deployment
Disillusionment
Hype
Incubation

15. Technology Canvas
(work in progress)
● A framework for us to analyze technologies
○ Are we asking the right questions
● Inspired by “Business Model Canvas”
○ Designed to capture a business model narrative
○ https://strategyzer.com/canvas/business-model-canvas
● The narrative and questions let us analyze an emerging
technology with a critical approach

16. Can it be
done with
reasonable
effort?
Is there real
impact?
Net positive drivers
Future & risks
Narrative

19. Blockchain
A distributed immutable ledger that
provides trust without a third party
Technology
Slow (8 trans/minute)
Scale is limited
Can’t undo operations
e.g. Ethereum, HyperLedger
Vision
Electronic cash (Bitcoin)
Decentralized systems without central
control (social network, DNS, auction,
prediction markets, global reputation)
Safe ledgers (Government records, land
registry)
Opinion
Still early, vision is too big in many ways

20. Artificial Intelligence
Enable computer based data driven
decisions
Enables automation
Currently world is limited by humans in
the loop.
Next industrial revolution may be
powered by unlimited decision making
power (as opposed to by unlimited
mechanical power in the last)
Opinion:
it has slowed down due to lack of
programmers and data scientists (needs
automation for the data science process
itself and turnkey solutions)
Many initial wins
Nate Silver Election Forecasts IBM Watson
Moneyball (Baseball)

21. Timeline
● Timeline for publication of GTO outputs
○ Serverless - end of July
○ Blockchain - end of September
○ We will release each technology updates independently and do
summaries connecting them at end of each year.
● Other candidate areas
○ Chatbots, IoT, Immersive AR/VR, AI & Analytics, etc

22. THANK YOU
wso2.com