Download as PDF, PPTX
Uploaded byDmitry Lavrinenko
DevOps in IoT
The document outlines a comprehensive agenda for implementing DevOps practices within Internet of Things (IoT) environments, focusing on services, architecture, and security. It includes use cases for programmable edge computing, data processing on IoT devices, and hybrid cloud infrastructure, along with real-world examples of IoT applications. The content also highlights collaboration with educational institutions to enhance knowledge and skills in the field.
More Related Content
DevOps in IoT
- 1.
- 2. WHO AM I •Solutions Architect • DevOps • Serverless • IoT • Big Data • Blockchain • AI • ML [email protected]
- 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 ANDDEVELOPMENT 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 ASA 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 •Performingdata 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 • Abilityto 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 ONIOT 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 TIGHTINTEGRATION 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 REDUCTIONIN RISKS OF FOODS’ DETERIORATION CONTROLLING MICROCLIMATE IN THE WHOLE SUPPLY CHAIN FAST DETECTION OF SYSTEM BREAKDOWNS
- 16. OIL WELLEarly preventionsystem 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 WALLRevenuegrowth 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 COFFEEMACHINE • IoT + Blockchain • Biosensors • Apple Watch
- 19. IOT DATA BEACONTRACKER
- 20. IOT AND ACOUSTICDATA 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 UNIVERSITYLVIV 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.