Webinar Registration Getting Started with Building Your First IoT App

Miroslav Malecha / Product Manager
Bonitoo.io
IoT Center Workshop
InﬂuxDB

© 2020 InfluxData. All rights reserved.
2
Agenda
• What is InfluxDB?
• IoT Center Demo Application
• Install IoT Center
• Build InfluxDB data queries
• InfluxDB JS Client library introduction
• Add geo widget into Node.js application
• InfluxDB as monitoring platform for Node.js

3
Issues, Questions?
Please use Chat in Zoom:
• Something does not work
• Questions
• Comments
All the decks are available in
the chat for copy-paste

4
InﬂuxDB
Time Series Platform
EMPOWERS DEVELOPERS TO
BUILD IOT, ANALYTICS, &
MONITORING SOFTWARE.
– Purpose built to handle the
massive volumes of time stamped
data
– Easy to share, easy to extend
– Multi data source
– Open Source (MIT license)
– Easy to get started but powerful to
scale

5
Powerful APIs, Tools, & Ecosystem
Developers using the InfluxDB platform build their applications with
less effort, less code, and less configuration.
Unrestricted developer
productivity
Client and server
libraries in everything
from React, JavaScript,
Go, Python and more.
Get a head-start with
templates
Inspiring templates for
every use case. Easy to
create and share — find
what’s right for you.
Vibrant open source
community
A diverse and highly
motivated community,
making contributions in
code, & documentation.
Powerful & active
ecosystem
200+ Telegraf plugins,
integrations with
Grafana or data sources
like Google Bigtable.

6
InﬂuxDB Introduction

7
Deployment options
• InﬂuxDB Cloud
https://cloud2.inﬂuxdata.com
/signup
• Local deployment
(OSS)

2
Bonitoo - SW Engineering Company
• End-to-end R&D Services (architecture, agile development,
documentation, support, hosting, operation)
• Development of custom monitoring solutions
• Strong team of professionals (development for SaaS
Startups, Enterprise Software, Mobile applications)
• InﬂuxData consulting partner
Delivered Client Libraries and other deliverables

3
• Simple demo application
• How to integrate InfluxDB
• Write measurements
• Query database
• Manage InfluxDB
• Based on Node.js and React
• IoT Devices example (out of scope of
this workshop)
• Embedded Virtual Device
• Links to source code - GIT
• No DB installation - InfluxDB Cloud
What is IoT Center?

4
IoT Center Architecture
Configuration
InfluxDB 2 Cloud
Time Series Database
(or standalone InfluxDB)
IoT Center
IoT
Device
InfluxDB
Client
Arduino
Python
Java
.NET
...
InfluxDB
JS
Client
Virtual
Device
Web
Browser
Measurements (temp, humidity, pressure, GPS, …)
UI

5
IoT Center
Three functions
• Device Registration - register new IoT Devices
• Virtual Device - emulate IoT device
• Dashboard - show measured data from the IoT Devices

6
Devices Registration
Left menu
• Devices
Registration

7
Virtual Device - Generate demo data
Left menu
• Virtual Device
Top screen
• Button with pencil

8
Visualisation
Left Menu
• Dashboard
Filters
• Device
• Time

9
IoT Center Demo
Link - http://localhost:5000

10
Source code organization
https://github.com/bonitoo-io/iot-center-v2
Directories
• app
• server
• ui
• client_arduino
• client_python

11
Goal of this workshop
1. Extend visualisations - add GEO widget
2. Node.js applications monitoring

12
Documentation
1. Help windows embedded into IoT Center
2. Dev guide https://inﬂuxdata.github.io/iot-dev-guide

Workshop
IoT Center Installation

2
Agenda
• InﬂuxDB Cloud Account
• Prepare environment
• Install git
• Install node.js
• Install yarn
• Get source code from GIT
• Build IoT Center
• Set IoT Center conﬁguration
• Run IoT Center
• Virtual Device Test

3
IoT Center Installation Approach
1
2
Configuration
InfluxDB Cloud
Time Series Database
(or Standalone InfluxDB)
IoT Center
IoT
Devices
InfluxDB
Client
Arduino
Python
Java
.NET
...
InfluxDB
JS
Client
Virtual
Device
Web
Browser
Measurements
UI
Raspberry Pi
ESP 8266/32

4
Create InﬂuxDB
Cloud Account
Skip this if you already have the InﬂuxDB account

5
Sign up to Influxdb Cloud
Open Web Browser
https://cloud2.influxdata.com/
Three options:
1. Register via Google email
• Select right Google account
2. Register via Microsoft email
• Select right Microsoft account
• Requires Read profile rights
3. Create account via any email
• Fill Name, Email, Password
• Receive email for validation
Skip this step if you already have the account
1
2
3

6
Veriﬁcation
Only when email option was selected

7
Registration
1. Select any provider
2. Company name
3. Read & check agreement
4. Click continue

8
Select plan
• Select Free tier
(time-unlimited)
• You can upgrade the
tier any time

9
InﬂuxDB 2 Cloud Account Created
If you already have the InﬂuxDB account, please login

10
Generate API Token for IoT Center
Menu
• Data
Tab
• Tokens
Button
• Generate
Select
• All Access
Token

11
Deﬁne API Token Name
Enter Description
• e.g. “IoT Center”
Button
• Save

12
Get API Token
1. Click on the token name
2. Click button
• Copy to clipboard
Keep this page open - we use
the token later

13
IoT Center
Installation

14
Install node.js
• Linux - Install package nodejs (need node version v10+.)
• Windows/Mac - https://nodejs.org/en/download/
• Test node.js
$ node --version
v10.19.0
Ubuntu/debian newer node version - curl -sL https://deb.nodesource.com/setup_15.x | sudo -E bash -

15
Install yarn
• Linux - Install package yarn
• Windows/Mac - https://classic.yarnpkg.com/en/docs/install
• Test yarn
$ yarn --version
1.22.5

16
Install git
• Linux - Install package git-all
• Windows/Mac - https://git-scm.com/downloads
• Test git
$ git --version
git version 2.25.1

17
Download IoT Center source code
Run: git clone https:/
/github.com/bonitoo-io/iot-center-v2
Help: https://github.com/bonitoo-io/iot-center-v2
Already cloned? Run: git pull
$ git clone https://github.com/bonitoo-io/iot-center-v2
Cloning into 'iot-center-v2'...
remote: Enumerating objects: 1185, done.
remote: Total 1185 (delta 0), reused 0 (delta 0), pack-reused 1185
Receiving objects: 100% (1404/1404), 1.92 MiB | 1.92 MiB/s, done.
Resolving deltas: 100% (977/977), done.

18
Build IoT Center
• Move to app directory: cd iot-center-v2/app/
• Run: yarn install (takes up to few minutes)
$ yarn install
yarn install v1.22.5
[1/4] Resolving packages…
[2/4] Fetching packages…
[4/4] Building fresh packages…
Done in 140.75s.

19
Configure start scripts
Modify files in iot-center-v2/app
directory
• Windows - open file dev.bat
• Linux/Mac - open file dev.sh
SET INFLUX_URL=https://us-west-2-1.aws.cloud2.influxdata.com
SET INFLUX_TOKEN=h1RbZX2n4kc8Q_jYPpwdjkv3dAZRorNQnN67pMwKs1lGgbMW8vWRjAi7VvkUitQMii2XwJM9qX3cnK4oAZDIjg==
SET INFLUX_ORG=node-workshop@bonitoo.io

20
Start IoT Center
• Execute
• dev.bat (Windows)
• ./dev.sh (Linux/Mac)
./dev.sh
yarn run v1.22.5
cd server && yarn start
node index.js
Enable proxy from /influx/* to https://us-west-2-1.aws.cloud2.influxdata.com/*
Bucket 'iot_center' exists.
INFLUX_URL=https://us-west-2-1.aws.cloud2.influxdata.com
INFLUX_TOKEN=***
INFLUX_ORG=node-workshop@bonitoo.io
INFLUX_BUCKET=iot_center
Listening on http://localhost:5000
• Open Web browser: http://localhost:3000
Keep this script running - we will use it later

21
Virtual Device - Generate demo data
Left menu
• Virtual Device
Top screen
• Button with pencil

22
Issues?
Errors
HttpError: organization name "xnode-workshop@bonitoo.io" not found
• fix INFLUX_ORG - wrong organization name
Error: Unsupported protocol "null in URL: "us-west-2-1.aws.cloud2.influxdata.com"
• fix INFLUX_URL - add https://
Error: 500 Error: getaddrinfo ENOTFOUND xus-west-2-1.aws.cloud2.influxdata.com
• fix INFLUX_URL - wrong address
Error: 500 Error: 401 Unauthorized : {"code":"unauthorized","message":"unauthorized access"}
• fix INFLUX_TOKEN - invalid credentials

23
Test Demo Data
Left Menu
• Click Dashboard

24
IoT Platforms source code (temperature sensor required)
ESP8266 and ESP32 devices
Arduino
Raspberry Pi
Python
https://github.com/bonitoo-io/iot-center-v2/tree/master/client_arduino https://github.com/bonitoo-io/iot-center-v2/tree/master/client_python

25
Mobile client - Flutter
Using Dart InfluxDB Library
https://github.com/influxdata/iot-center-flutter

26
Break - 5 minutes
Errors
HttpError: organization name "xnode-workshop@bonitoo.io" not found
• fix INFLUX_ORG - wrong organization name
Error: Unsupported protocol "null in URL: "us-west-2-1.aws.cloud2.influxdata.com"
• fix INFLUX_URL - add https://
Error: 500 Error: getaddrinfo ENOTFOUND xus-west-2-1.aws.cloud2.influxdata.com
• fix INFLUX_URL - wrong address
Error: 500 Error: 401 Unauthorized : {"code":"unauthorized","message":"unauthorized access"}
• fix INFLUX_TOKEN - invalid credentials

Workshop
InﬂuxDB Data Explorer

2
Agenda
• InﬂuxDB Cloud Login
• Introduce Flux Query Language
• Data Explorer
• Exercise: Query GEO Data

3
Login into Inﬂuxdb Cloud 2
Open Web Browser
https://cloud2.inﬂuxdata.com/
Click to Log In option
Three options available:
1. Google account
2. Microsoft account
3. Own email
Click to Log In option

4
Start Explorer
Click on Explore Icon

5
Query InﬂuxDB
• Select bucket
• iot_centrum
• Select measurement
• environment
• Select ﬁeld
• Temperature
• Keep aggregation
• Mean
• Set Time
• Past 1h
1
2
3
4
5
6
7

6
Switch to the Script Editor
Click to Script Editor Button
Show Flux Query
from(bucket: "iot_center")
|> range(start: v.timeRangeStart, stop: v.timeRangeStop)
|> filter(fn: (r) => r["_measurement"] == "environment")
|> filter(fn: (r) => r["clientId"] == "virtual_device")
|> filter(fn: (r) => r["_field"] == "Temperature")
|> aggregateWindow(every: v.windowPeriod, fn: mean, createEmpty: false)
|> yield(name: "mean")

7
Basic Flux Query Structure
bucket
“database with
retention policy”
aggregateWindow
group by time chunks defined
by v.windowPeriod variable
range
time filter
v.<name>
variables generated
by UI
_measurement
select specific
“database table”
_field
select specific
“table column”
tag clientID
filter specific “rows
in the table”

8
Show Raw Query Data
Click to View Raw Data
• Table with all the columns

9
Task: How to Get GPS Coordinates?
We need this query for the GEO widget
Virtual device provides GPS coordinates
• Fields Lat and Lon
• How to adjust the query?
• Two options

10
1/2 Using Query Builder

11
2/2 Using Script Editor
|> filter(fn: (r) => r["_field"] == "Lat" or r["_field"] == "Lon")
Add Lat, Lon
select
“database columns”

12
Documentation
More information:
https://docs.inﬂuxdata.com/inﬂuxdb/v2.0/query-data/get-started/

Javascript client to InﬂuxDB v2 APIs
InﬂuxDB JS Client

2
Direct write into InﬂuxDB
$ curl -i -X POST 'http://localhost:8086/api/v2/write?org=my-org&bucket=my-bucket'
-H 'Authorization: Token my-token'
-d 'cpu_load_short,host=server01,region=us-west value=0.64 1434055562000000000'
Format: line protocol
measurement ,tag_set field_set timestamp
cpu_load_short ,host=server01,region=us-west value=0.64 1434055562000000000

3
InfluxDB Client Libraries
Access InfluxDB API from various programming languages
• Arduino - https://github.com/tobiasschuerg/InfluxDB-Client-for-Arduino
• C# - https://github.com/influxdata/influxdb-client-csharp
• Dart - https://github.com/bonitoo-io/influxdb-client-dart
• Go - https://github.com/influxdata/influxdb-client-go
• Java - https://github.com/influxdata/influxdb-client-java
• JavaScript - https://github.com/influxdata/influxdb-client-js
• PHP - https://github.com/influxdata/influxdb-client-php
• Python - https://github.com/influxdata/influxdb-client-python
• Ruby - https://github.com/influxdata/influxdb-client-ruby
• Swift - https://github.com/influxdata/influxdb-client-swift
Docs - https://docs.influxdata.com/influxdb/cloud/tools/client-libraries/

4
JavaScript client library
Two main packages (for node.js):
• @influxdata/influxdb-client
• Querying data using the Flux language
• Writing data (batched, automatic retries)
• Web Browser, Deno: @influxdata/influxdb-client-browser
• @influxdata/influxdb-client-apis
• Manage sources, buckets, authorizations, tasks, ...
• Health check
• Examples: https://github.com/influxdata/influxdb-client-js/tree/master/examples
• API documentation: https://influxdata.github.io/influxdb-client-js

5
Write data
const {InfluxDB, Point, HttpError} = require('@influxdata/influxdb-client' )
const {url, token, org, bucket} = require('./env')
const {hostname} = require('os')
// create a write API
const writeAPI = new InfluxDB({url, token}).getWriteApi (org, bucket, 'ns')
writeApi.useDefaultTags ({host: hostname()})
// write point with the current timestamp
const point1 = new Point('temperature' )
.tag('example', 'write.ts')
.floatField('value', 20 + Math.round(100 * Math.random()) / 10)
writeAPI.writePoint(point1)
// flush data, close API
writeAPI.close()
Smart write logic implemented
• Non-blocking
• Buﬀering
• Retry

6
Query data
import {InfluxDB, FluxTableMetaData
} from '@influxdata/influxdb-client'
import {url, token, org} from './env'
const queryApi = new InfluxDB({url, token}).getQueryApi(org)
const fluxQuery = 'from(bucket:"my-bucket") |> range(start: 0) |> filter(fn: (r) => r._measurement == "temperature")'
// Execute query and receive table metadata and rows
queryApi.queryRows(fluxQuery, {
next(row: string[], tableMeta: FluxTableMetaData
) {
const o = tableMeta.toObject(row)
console.log( `${o._time} ${o._measurement} in '${o.location}' (${o.example}): ${o._field}=${o._value}`
)
},
error(error: Error) {
console.error(error)
console.log('nFinished ERROR'
)
},
complete() {
console.log('nFinished SUCCESS'
)
},
})

7
Create Bucket
const {InfluxDB, HttpError} = require('@influxdata/influxdb-client'
)
const {OrgsAPI, BucketsAPI} = require('@influxdata/influxdb-client-apis'
)
const {url, org, token} = require('./env')
const influxDB = new InfluxDB({url, token})
const name = 'example-bucket'
const orgsAPI = new OrgsAPI(influxDB)
//Get organizations
const organizations = await orgsAPI.getOrgs({org})
const orgID = organizations
.orgs[0].id
// get bucket - if exists, delete it
const bucketsAPI = new BucketsAPI(influxDB)
const buckets = await bucketsAPI.getBuckets({orgID, name})
if (buckets && buckets.buckets && buckets.buckets.length) {
const bucketID = buckets.buckets[0].id
await bucketsAPI.deleteBucketsID({bucketID})
}
// creates a bucket, entity properties are specified in the "body" property
const bucket = await bucketsAPI.postBuckets({body: {orgID, name}})
All management APIs are documented in
https://influxdata.github.io/influxdb-client-js/influxdb-client-apis.html

8
Documentation
More information:
https://inﬂuxdata.github.io/inﬂuxdb-client-js/

2
Extend Dashboard
Latest Value
• Gauge
History
• Line chart
Location history
• This exercise

3
Goal
Add location history of the IoT device

4
Steps
All the changes in the dashboard ﬁle:
iot-center-v2appuisrcpagesDashboardPage.tsx
1. Update query (from explorer exercise)
2. Add GEO visualisation
2.1. Add imports
2.2. Create visualisation component
2.2.1. Convert input data
2.3. Add GEO visualisation into dashboard

5
1 Update Query
In function fetchDeviceMeasurements update ﬂux query:
• fetch GPS ﬁelds as well (add highlighted code)
const fetchDeviceMeasurements = async (
config: DeviceConfig,
timeStart = '-30d'
): Promise<GiraffeTable> => {
const {
// influx_url: url, // use '/influx' proxy to avoid problem with InfluxDB v2 Beta (Docker)
influx_token
: token,
influx_org
: org,
influx_bucket
: bucket,
id,
} = config
const queryApi = new InfluxDB({url: '/influx', token}).getQueryApi(org)
const result = await queryTable(
queryApi,
flux`
import "influxdata/influxdb/v1"
from(bucket: ${bucket})
|> range(start: ${fluxDuration(timeStart)})
|> filter(fn: (r) => r._measurement == "environment")
|> filter(fn: (r) => r["_field"] == "Temperature" or r["_field"] == "TVOC" or r["_field"] == "Pressure" or r["_field"] == "Humidity" or
r["_field"] == "CO2" or r["_field"] == "Lat" or r["_field"] == "Lon")
|> filter(fn: (r) => r.clientId == ${id})
|> v1.fieldsAsCols()`
)
return result
}

6
Flux Geo Functions
Filtering
● filterRows()
● gridFilter()
● strictFilter()
Aggregate
● groupByArea()
● asTracks()
Transformation
● s2CellIDToken()
● toRows()
Supported Shapes
● box - defined by: minLat, maxLat, minLon, maxLon
● circle - defined by: lat, lon, radius
● polygon - array of points: lat, lon
Functions
import "experimental/geo"
//Circle
from(bucket: "rides")
|> range(start: 2019-11-01T00:00:00Z)
|> filter(fn: (r) => r._measurement == "bike")
|> geo.filterRows(region: {lat: 40.69335938, lon: -73.30078125, radius: 20.0})
//Box
|> range(start: 2019-11-01T00:00:00Z)
|> geo.filterRows(region: {minLat: 40.51757813, maxLat: 40.86914063, minLon: -73.65234375, maxLon: -72.94921875})
//Polygon
|> range(start: 2019-11-01T00:00:00Z)
|> geo.filterRows(region: {points:[{lat: 40.671659, lon: -73.936631}, {lat: 40.706543, lon: -73.749177},{lat: 40.791333, lon: -73.880327}]})
// Filter if GEO hashtag is not available - slow
|> range(start: 2019-11-01T00:00:00Z)
|> geo.toRows()
|> geo.strictFilter(region: {minLat: 40.51757813, maxLat: 40.86914063, minLon: -73.65234375, maxLon: -72.94921875})
// The fastest GEO filtering - approximate results
|> range(start: 2019-11-01T00:00:00Z)
|> geo.gridFilter(region: {minLat: 40.51757813, maxLat: 40.86914063, minLon: -73.65234375, maxLon: -72.94921875})
|> geo.toRows(correlationKey: ["_time", "id"])
|> geo.asTracks()

7
2.1 Leaﬂet library imports
Use Leaﬂet library
Add the highlighted imports and functions
import {queryTable} from '../util/queryTable'
import {VIRTUAL_DEVICE
} from '../App'
import {MapContainer, TileLayer} from 'react-leaflet'
import AntPathWrapper from '../util/antPathWrapper'
const zip = <T1, T2>(arr1: T1[], arr2: T2[]): [T1, T2][] =>
arr1.map((x, i) => [x, arr2[i]])
const last = <T,>(arr: T[]) => arr[arr.length - 1]
interface DeviceConfig {

8
2.2 Create Visualisation component
const geo =
measurementsTable && measurementsTable
?.length
? (() => {
const latCol = measurementsTable
.getColumn('Lat', 'number')
const lonCol = measurementsTable
.getColumn('Lon', 'number')
if (!lonCol || !latCol) return undefined
const track = zip(latCol as number
[], lonCol as number
[])
// Made from basic react-leaflet example https://react-leaflet.js.org/docs/start-setup
return (
<>
<MapContainer
style
={{width: '100%', height: '500px'}}
center
={last(track)}
zoom
={6}
>
<TileLayer
attribution
='© <a href="http://osm.org/copyright">OpenStreetMap</a> contributors'
url
="https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png"
/>
<AntPathWrapper positions
={track} />
</MapContainer>
<Divider />
</>
)
})()
: undefined
Add the following function

9
2.3 Add GEO visualisation into dashboard
Add highlighted line adding the geo visualisation
{deviceData?.measurementsTable
?.length ? (
<>
{gauges}
{geo}
{plots}
</>
) : (
<Card>
<Empty />
</Card>
)}
</PageContent>
)
}
export default DashboardPage

10
Dashboard with GEO
Refresh page if not visible

11
Break - 5 minutes
Does not work?
• run
• cd iot-center-v2/app/ui/src/pages
• git checkout origin/map -- DashboardPage.tsx
• refresh Dashboard page if geo is not visible

2
Agenda
• Process Monitoring
• Response time Monitoring
• InﬂuxDB Dashboard
• Monitoring in 2 steps

3
Monitoring of Node.js process
Connect InﬂuxDB
// create Influx Write API to report application monitoring data
const writeAPI = new InfluxDB({url, token}).getWriteApi(org, bucket, 'ns', {
defaultTags: {
service: 'iot_center',
host: require('os').hostname(),
},
}
// https://nodejs.org/api/process.html#process_process_memoryusage
writeAPI.writePoint(createPoint('node_memory_usage'
, process.memoryUsage()))
// https://nodejs.org/api/process.html#process_process_cpuusage_previousvalue
writeAPI.writePoint(createPoint('node_cpu_usage'
, process.cpuUsage()))
// https://nodejs.org/api/process.html#process_process_resourceusage
writeAPI.writePoint(createPoint('node_resource_usage'
, process.resourceUsage()))
Write process data into InﬂuxDB
// convert data into point
function createPoint(measurement, usage) {
const point = new Point(measurement)
for (const key of Object.keys(usage)) {
point.floatField(key, usage[key])
}
return point
}
● By default it is reported every 10s

4
Http response code and time monitoring
// export a monitoring function for express.js response time monitoring
module.exports = function (app) {
app.use(
responseTime
((req, res, time) => {
// write response time to InfluxDB
const point = new Point('express_http_server'
)
.tag('uri', req.path)
.tag('method', req.method)
.tag('status', String(res.statusCode))
.floatField('response_time'
, time)
writeAPI
.writePoint(point)
})
)
}

5
IoT Center
Monitoring

6
Node.js application monitoring in 3 steps
Use IoT Center Example
1. Copy monitor.js file from the Iot Center GIT
• it expects env.js file with InfluxDB connection parameters
2. Register monitor.js code
const onboardInfluxDB = require('./influxdb/onboarding'
)
const {logEnvironment
, INFLUX_URL} = require('./env')
const monitor = require('./monitor')
async function startApplication
() {
const app = express()
// monitor application
monitor(app)
...
}

7
Install Dashboard 1/2
Left Menu
• Settings
Tab
• Templates
Paste the URL
• URL below
Button
• Lookup template

8
Conﬁrm imported template
Button
• Install Template

9
Imported Template

10
Open the imported dashboard

11
Node.js Monitoring Dashboard
Add new chart Filters (based on variables)

12
Application monitoring - custom events
InﬂuxDB can store and query any application event
const point = new Point('user_registered'
)
.tag('name', req.name)
.tag('email', req.email)
.tag('result', String(res.statusCode))
.floatField('response_time'
, time)
writeAPI.writePoint(point)

13
Nodesource
Advanced real-time insight into application performance and security

14
InﬂuxDB Templates
Select
Queries & Scripts
Select
Dashboards
Select
Data Sources
Network Monitoring
Security
Kubernetes Monitoring
TIME TO AWESOME

15
Show & contribute to InﬂuxDB Templates

16
IoT Center Template
https://github.com/inﬂuxdata/community-templates/tree/master/iot_center

17
Q & A

18
Your next steps
– Keep playing with the IoT Center sample app with your Free
InﬂuxDB Cloud account
– Try other templates from the gallery to monitor your apps,
sensors, and so much more
– Don’t forget your socks!
– Join the community
• Community.Inﬂuxdata.com
• Slack
• GitHub

Webinar Registration Getting Started with Building Your First IoT App

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Webinar Registration Getting Started with Building Your First IoT App