The internet has evolved from a human-centric client-server based architecture to one where humans and assets (or things) are equal stakeholders. Do our databases, middleware, and client applications still stand up? In this talk, Brian Gilmore outlines the unique challenges of data operations and analytics in the IoT environment, examines how human and machine interactions drive architecture and deployment, and identifies where we could work to improve our data strategies to fully leverage the IoT opportunity. Why time series data is the secret to success when it comes to Industry 4.0 How an IoT data platform fits in with any IoT architecture to manage the data requirements of every IoT implementation Effectively collect, manage, and analyze time series data to drive your ability to improve operations

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Rethinking the
Database in the IoT Era
Brian Gilmore
Director, IoT and Emerging Technology

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A bit about me…

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A bit about InfluxData
The team behind InfluxDB…
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At a glance
FOUNDED
FOCUS
DIFFERENCE
OSS FOUNDATION
BUSINESS MODEL
2013
San Francisco HQ, 230 FTE’s, 122+ in technical functions
Where developers build real-time applications
One platform; one API across Multiple Clouds and On-Prem
Ingest, query, story using common tools regardless of architecture
1300+ Customers and 550,000 daily active OSS deployments;
Google , Cisco, SAP, Comcast, Tesla, Siemens, PTC, Honeywell, JP Morgan Chase
PLG Driven Usage and Subscription Model
Pay for what you use; Pay how you want. Credit card, cloud provider, annual contract
for IoT, Analytics and Cloud native services
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Large and Growing Customer Base
1300+
Customers
Internet of things
Infrastructure & real-time apps
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Momentum & Adoption
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634,000
Active Instances
57,000
Cloud Signups
1st
Runaway Leader
23,000
GitHub Stars
InfluxDB Cloud InfluxDB stars
InfluxDB OSS
Database ranking
source: DB Engines

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Modern Application
Architectures for IoT
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The Evolution of the Internet
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The Cloud

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Your Datacenter

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Your Datacenter
The Edge

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Technology Considerations
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• Mostly always on
• High specificity
• Traditionally capEx
• Physical Networks
• Physical Machines
• Applications
• Servers
• Clients
• Mostly always on
• High elasticity
• Everything as a service
• Virtual Networks
• Virtual Machines
• Containers
• Microservices
• Orchestration
• Intermittent everything
• High autonomy
• Generally proprietary
• Telecommunications
• Electronics
• Programs
• Sensors
• Actuators
The Cloud The Datacenter The Edge

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IoT Value Proposition Pillars
Communicate
Automate
Optimize
Understand
Integrate
Edge<->Cloud Hybrid Applications
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Solutions
Monitoring Managing Securing Deploying Analyzing Optimizing Commercializing
IoT Archetype
Edge
Sensors
Actuators
Applications
Network
Automation
Gateway
Applications
Network
Network
Coordination
Cloud
Applications
Network
Integration
Consumers
Administrators
Time Series Database (TSDB)
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Monitoring
Analytics
Alerting
Frameworks
InfluxDB
Purpose-Built Time Series Database
Visualization, Query & Task Engine
Sensors
Setpoints
Alarms
Events
Reference Architecture –
IIoT with InfluxData
Sources
PLCs
HMIs
Robotics
Sensors
Devices
Telegraf
Client Libraries
• MQTT Consumer
• OPC UA
• Modbus
• HTTP
• Apache Kafka
• AWS Kinesis
• Azure Event Hubs
• GCP PubSub
• Python
• Arduino
• Node.js
• JavaScript
Data Types
MES, ERP, EAM,
CMMS
Middleware / IoT
Gateways
OT Infrastructure
Industrial Control
SCADA
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Hybrid TSDB with InfluxDB
Transparent, reliable, scalable time series data collection, transformation, enrichment, orchestration, and analytics.
InfluxDB Cloud
Multi-site Edge Data “Born-In” Cloud Data Query, API, WebUI Interfaces Cloud Native Integrations Application Development
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Edge Device Edge Gateway Datacenter
Existing
Applications
InfluxDB
Full Fidelity Data
Summarized Data
Query & Task Engine
InfluxDB
Full Fidelity Data
Summarized Data
Query & Task Engine
Existing Applications
InfluxDB
Full Fidelity Data
Summarized Data
Query & Task Engine
Existing
Applications

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We can’t operate in a vacuum…
Complementary Technologies
• Relational databases
• Document databases
• Graph databases
• Time series databases
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Quick Update:
InfluxDB Edge Data Replication
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How it Works
API CLI
/api/v2/remotes influx remote [create,delete,list,update]
/api/v2/replications influx replication [create,delete,list,update]
Cloud (InfluxDB Cloud) Database(s)
Enables:
• Raw data replication
• Downsampling
• Eventual consistency
Build:
• Distributed databases
• Hybrid apps
• ML pipelines
Bucket Queue
Bucket Queue
Flux
Edge (InfluxDB OSS) Databases
Disk
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Adding Value to the InfluxDB Ecosystem
• Strategic orchestration of datasets across edge and cloud
• Unified, single source of truth for everyone in your org
• You decide where precision and fidelity is required
• Enables better visibility, alerting, analytics and data science
• Empowers optimized operations and collaboration
• Build new apps - for customers or the business
• Drive cost savings and revenue from new lines of business
Enables New Time Series Solutions
Hybrid Edge/Cloud Applications and Operations
Local/Remote Operations Global Visibility
Edge Edge
Cloud
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InfluxDB EDR – Totally Awesome!
Durable Flexible
Ensure data gets to
where it needs to go
Simple code and
configuration
No complex code Data @ Edge & Cloud
Native Queueing
Persistent through
connectivity errors
and outages
Automatic
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Questions?
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Thank You!

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www.influxdata.com