This document summarizes a presentation about clouds in 2016. It discusses trends like serverless computing and containers replacing virtualization. Challenges include security but also the growing complexity of cloud computing. Native cloud applications that leverage cloud services are presented as a way to more efficiently develop applications at scale. The document also provides an example IoT architecture using AWS services and discusses Softimize's approach to common building blocks to develop cloud applications.

1. Apr-2016
Guy Vinograd, CEO

2. Your R&D Team
 Cloud-native SaaS Providers
 Million-scale users, 10000s devices, 1000s TPS
◦ AWS’s leading R&D partner
 IoT clouds builders for device vendors
◦ Fully managed service
◦ Enables device makers to focus on their core
 Customers - global $Bn companies to start-ups
About Me and Softimize

3. Your R&D Team
Agenda
 Who are the Cloud of 2016
 Trends in the Clouds
 Challenges of 2016 Clouds

4. Your R&D Team
 Elastic
 Self Service
Cloud Recap (NIST)
 Global
 Multi-Tenant
 Pay per Use
IaaS
PaaS
SaaS

5. Your R&D Team
Clouds in 2016 are the Default

6. Your R&D Team
Public Clouds

7. Your R&D Team
Private Clouds

8. Your R&D Team
Agenda
 State of the Cloud in 2016
 Trends in the Clouds
 Challenges of 2016 Clouds

9. Your R&D Team
◦ No servers, no deployments onto servers, no installed software
◦ 11/2014 – AWS Lambda
◦ 2/2016 – Google Cloud Functions (Alpha)
◦ 31/3/2016 - Microsoft Azure Functions (Alpha).
Trends – Serverless Computing

10. Your R&D Team
◦ Micro-service & Continues Deployment enabler
◦ AWS EC2 Container Service (11/2014)
◦ Google Container Engine (8/2015)
◦ Azure Container Service (9/2015)
Trends – Containers In, Virtualization Out

11. Your R&D Team
 Cloud-optimized application architecture and design
 Go beyond hosting service. Use the cloud services
◦ Queues, Storage, Databases, Auto Scaling, Security, Workflow
engines, Big Data Streaming, IoT services
 Why?
◦ Scale
◦ Much less Dev Ops – installs, deploys
◦ Speedier R&D – less provisioning
◦ Traceable – Centralized Logs, Metrics
 Bottom line: 70% more efficient
Trends - Native Cloud Apps Become the Norm

12. Your R&D Team
Trends - IoT

13. Your R&D Team
REST
IoT Architecture
HTTP | MQTT | CoAP | XMPP
IoT
Backend Service
GW

15. Your R&D Team
Shopping List Using TBB Integration with AWS IoT

16. Your R&D Team
Let’s See Something Working

17. Your R&D Team
Shopping List Architecture
Sensor
Hub
Raspberry PI
TBB RPI JS SDK
AWS
IOT
Kinesis
DynamoDB
Auto Scaling
TBB
Streamer
Sensor
Actuator
Actuator
E
L
B
TBB
Device
Mgmt
Auto Scaling
Web
REST API Client
TBB AngularJS SDK
MQTT,
Hub Certificate
Provision Things
Set/Get shadow
Push notifications
MQTTWebSocket
IoT Service app
Device management

18. Your R&D Team
Agenda
 State of the Cloud in 2016
 Trends in the Clouds
 Challenges of 2016 Clouds

19. Your R&D Team
Challenges – Security – Not #1

20. Your R&D Team
Challenges – Cloud Computing Became COMPLEX
 SaaS requirements- scalability, multi tenancy, security,
soft real time, multi-cloud, multi-region
 Critical to choose the right cloud services
◦ AWS has 161 services!
◦ Or no scale, security breaches, high latency, big $$$
◦ Need architects with broad cloud knowledge
 Critical to effectively utilize the cloud resources
◦ CPU utilization – Can you do 80%?? Or 30%?
◦ Or big $$$ or high latency
◦ Need developers with deep experience with cloud SDKs

21. Your R&D Team
Challenges – Mitigation In Israel
 DIY
◦ Most fail
 Expert sharing economics
 DevOPS - Deployments, security, NOC
◦ emind, CloudZone,..
 Native Cloud Applications - Scalability,
multi tenancy, security, soft real time, multi-
cloud, multi-region
◦ Softimize

22. Your R&D Team
Security Multi Tenant DB
Data Streaming Vendor Services
Management
CBBTM = Common Building Blocks by Softimize
Push notificationsDevice Interaction
On Premise
MQTT, HTTP
Built for Clouds

23. Your R&D Team
Sensor Hub
E
L
B
API
Server
Play
K
i
n
e
s
i
s
Everything
DynamoDB
S3 or EFS
Session Files
Cloud Front
SQS
Agg
Trigger
Algo Agg
SQS
Agg
Ready
S3
Agg Out
Hub Logs
S3
Agg In
Auto Scaling
Auto Scaling
Auto Scaling
S3
DB
Backups
Redshift
Any SQL
BI Tool
Session Cache
RT Algo
*H1/2016 - MQTT (including AWS IoT)
CBBTM Streaming – Implementation over AWS

24. Your R&D Team
Softimize Case Studies

25. Your R&D Team
Summary
 State of the Cloud in 2016
 Trends in the Clouds
 Challenges of 2016 Clouds
◦ Complexity, lack of expertise

26. Guy Vinograd
guy@softimize.co
Thank You 