Dmitry Lavrinenko, DevOps Solutions Architect, SoftServe, тема: «DevOps in IoT» (RU) https://www.facebook.com/events/472708259891041/

1. DEVOPS
IN
IOT

2. WHO AM I
• Solutions Architect
• DevOps
• Serverless
• IoT
• Big Data
• Blockchain
• AI
• ML
dlavrin@softserveinc.com

3. AGENDA
1. IoT Services
2. DevOps Implementation as a Service
3. IoT Projects Landscape
4. Programmable Edge
5. IoT (Hybrid) Infrastructure
6. Event Flow
7. Data Processing on IoT Edge
8. Enterprise IoT
9. Enterprise Hybrid Cloud
10. IoT Edge Auto-Discovery
11. Visibility
12. Real-Life examples

4. IOT SERVICES
SOLUTIONS ARCHITECTURE
AND DEVELOPMENT
in Hybrid-Cloud environment
BUILD CONTINUOUS DEVOPS
EXPERIENCE
across IoT Edge & Clouds
QA/QC PROCESS SETUP AND
AUTOMATION
in Micro-Services environment
MICROSERVICES ADOPTION
For IoT
PROVIDING ESSENTIAL
SECURITY
for customer’s solutions, threat detection,
visibility and control
OPEN SOURCE COMPONENTS
CUSTOMIZATIONS
to fit requirements
• IoT & Hybrid Infrastructure
• Securing components
• Facilitates the growths of the IoT

5. DEVOPS IMPLEMENTATION AS A SERVICE
Business
• KPI’s, CSF’s, how they align with
Hybrid Cloud
• Allign current business process
with HC strategy
Discovery
• Define use cases
• FR & NFR ( like capacity,
availability,security, ops, scale,
assurance )
Architecture Design
• Define context
• Allign high-level Architecture with
HC principles
• Document Architecture decisions
• Ops Model design
• Components considering
Roadmap
• Define timeline, phases, milestones
• Deliverables aligning
• Define scope
• Define inclusions and exclusions

6. PROGRAMMABLE
EDGE
IOT PROJECT LANDSCAPE
HYBRID
CLOUDS/HYBRID
INFRASTRUCTURE
IOT &
SERVERLESS
DATA
PROCESSING
SECURITY
• IoT Edge
• SP Edge
• Identity management
• Data processing and
anomaly detection

7. PROGRAMMABLE EDGE
What for
•Performing data processing at the edge
•Reducing the communications bandwidth
•Analytics and knowledge generation
•Machine Learning predictions.
•Data Reduction & Data Aggregation
•Manage Time Critical Workload via AI
Value
•Cost Saving
•Efficiency Resource Utilization
•Faster Data Processing

8. IOT HYBRID INFRASTRUCTURE
• Cloud & On-Premise
• Data Aggregation
• Data Reduction
• Event Processing
• Etc.
• IoT Edge
• Data Processing on the fly
• Predictive analytics
• Programmable Edge
• Event Driven Flow
• IoT Devices
Fn
Fn
Fn
Fn
SDK

9. EVENT FLOW
• Ability to define «workflow»
• Ability to define «build blocks» – tasks
• Ability to create different scenarios
• Ability to assign triggers
• React to events
• Manage workload

10. DATA PROCESSING ON IOT EDGE
• Continuous data loading
• Massively parallel processing
• Data consolidation
• Dimensional processing
• Data normalization &
denormalization (depends on
tech stack)
• Structured & dimensional data
models
• Hybrid distributed
warehouses
• Data WH
• Processing
• Analytics
• Visualization
• Machine Learning
• Data Virtualization
• Data Ingestion
• Identity

11. ENTERPRISE IOT
• Security
• AuthN/AuthZ
• RBAC
• Policies
• Assurance
• Monitoring
• Telemetry
• Logging
• Tracing
• Orchestration
• Service Identity
• Intelligence

12. ENTERPRISE HYBRID CLOUD
OVERVIEW
TIGHT INTEGRATION WITH
DIFFERENT VENDORS
to expose key features like programmability,
security, and scale across all resource types
PLATFORMS MANAGEMENT
AUTOMATION
(deployment, updates, control)
SERVICE CATALOG ASSURANCE
USAGE METERING POLICIES
INFRASTRUCTURE CAPACITY
REPORTING
SELF-HEALING PIPELINE
(analytics, visibility, tracing, real-time control )
SECURITY

13. IOT EDGE DISCOVERY
• API-Gateways
• Load Balancers
• Traffic Management Services
• High Availability management
• Canary deployments
• Access control
• Geo-distribution
• Auto-Discovery

14. VISIBILITY
• Open Tracing (tracing in general )
• Enterprise solutions
• Telemetry
• Monitoring
• Logging

15. IOT: WAREHOUSE MICROCLIMATE
REDUCTION IN RISKS OF
FOODS’
DETERIORATION
CONTROLLING
MICROCLIMATE IN THE
WHOLE SUPPLY CHAIN
FAST DETECTION
OF SYSTEM
BREAKDOWNS

16. OIL WELLEarly prevention system to detect oil production anomalies in real time
9,000+
DISTRIBUTED
ACOUSTIC SENSORS
(DAS)
1,200,000 events per min
30GB per min
10,000+
DISTRIBUTED TEMPERATURE
SENSORS (DTS)
30Gb per day
• Solution architecture
• Reference Architecture
• Real-Time Analytics
• Retrospective Analytics
• Capture and transform data on the fly
• Apply rules to data in motion
• Securely deliver data
• Distributed Big Data stack

17. SMART BACK WALLRevenue growth and cost-saving solution for a B2B customer in retail
INCREASED PRODUCT
AVAILABILITY ON THE
SHELVES
COST SAVING (FOR
EXTRA DELIVERIES)
TOBACCO BACK WALLS
MEET REQUIREMENTS SET
BY CIGARETTE VENDORS
• Special camera installation to recognize empty slot tags
by SKU in the tobacco back wall and to control
equipment technical conditions;
• The software platform to collect and process data,
transfer them to server and online reports;
• Different views and drill-down options for different users
inside the company;
• The system of notifications being sent to the proper
employees depending on the problem occurred.

18. R&D: SMART COFFEE MACHINE
• IoT + Blockchain
• Biosensors
• Apple Watch

19. IOT DATA BEACON TRACKER

20. IOT AND ACOUSTIC DATA PROCESSING
Reference & solution architecture
Speed Layer
(Real-Time Analytics)
Storage Layer
Sensors
Streaming Layer Processing Layer
Visualization
Data Collector
Message
Queue
Data
Pipeline
Batch Layer
(Retrospective Analytics)
IoT
Data
Real-Time Stream
Processing
Real-Time
Data Storage
Real-Time Data
Visualization
Batch
Processing
Historical Data
Storage
Retrospective Data
Visualization

21. SOFTSERVE AND NATIONAL
UNIVERSITY LVIV POLYTECHNICS
Program features
• 23 SoftServe employees took part in program
development
• 70% - renovated courses
• SoftServe IT specialists are involved as instructors
• SoftServe representatives supervise and consult final
bachelor program execution
BACHELOR’S PROGRAM

22. KHARKIV DEVOPS COMMUNITY
& UKROPS
https://www.facebook.com/KharkivDevOpsCommunity/
https://www.facebook.com/KyivDevOpsCommunity/
http://ukrops.club

23. FOR
THE
FUTURE