An IoT App's Journey to the Cloud From Localhost to PCF Dev and Pivotal Cloud Foundry

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2 An IoT App's Journey to the Cloud From Localhost to PCF Dev and Pivotal Cloud Foundry Beibei Yang, Ph.D. Sr.

3 The Hype around IoT The technology underpinning the Internet of Things (IoT) acquiring, analyzing, and activating data is an essential element of generating innovative experiences and transforming operating models. $800 Million in Spending 8+ Billion Connected Things" $1.4 Trillion in Spending 20+ Billion Connected "Things" Source: IDC: Worldwide Semiannual Internet of Things Spending Guide, 2017 IDC: IoT and Digital Transformation: A Tale of Four Industries, March 2016 Gartner: Internet of Things Endpoints and Associated Services, Worldwide, 2016

4 Use Case Factory Reporting environment Public Cloud Native Hybrid Cloud Cognitive Services Windows OS & Ubuntu HDFS MQTT Broker Master Node Data Center Edge VMs Event Video MQTT MQTT MQTT Demo Room Lab 1 Room Lab 2 Room MQTT IP cameras IP cameras IP cameras Sensors

5 R Shiny Dashboard

6 Customized R Buildpack

7 Containers Friendly to R users Apps run on both CF and Heroku

8 Version compatibility issues Extended staging time $ export CF_STAGING_TIMEOUT=60 $ export CF_STARTUP_TIMEOUT=60 Bulky apps RJDBC xlsx OpenNLP rjava arulesnbminer OpenStreetMap mallet RMongo RWeka No-go for libraries using JDK, OpenMP, OpenMPController RcppArmadillo markovchain crossover

9 Another Direction Use an official CF buildpack (such as python_buildpack) Run on localhost Test in PCF Dev Push to NHC PCF / Pivotal Web Services

10 Python App in Three Scenarios Localhost Language Python 2.x / Anaconda Python 2.x Libraries Endpoint login Dependencies pip install -r requirements.txt tornado==4.4.2 bokeh>= numpy== pymongo==3.3.0 redis== NA Local Redis Virtualenv Start command bokeh serve \ --port=8080 \ --address=localhost \ --show app App URL

11 Python App in Three Scenarios Localhost Language Python 2.x / Anaconda Python 2.x Libraries Endpoint login Dependencies Start command pip install -r requirements.txt tornado==4.4.2 bokeh>= numpy== pymongo==3.3.0 redis== NA Local Redis Virtualenv bokeh serve \ --port=8080 \ --address=localhost \ --show app PCF Dev Python Built-in Buildpack Python built-in buildpack takes care of library installations cf login -a api.local.pcfdev.io cf create-service p-redis \ shared-vm iot_redis Procfile web: bokeh serve --port=8080 \ --allow-websocketorigin=iotapp1.local.pcfdev.io \ --address= \ --use-xheaders \ --log-level=debug app App URL

12 Python App in Three Scenarios Localhost Language Python 2.x / Anaconda Python 2.x Libraries Endpoint login Dependencies Start command pip install -r requirements.txt tornado==4.4.2 bokeh>= numpy== pymongo==3.3.0 redis== NA Local Redis Virtualenv bokeh serve \ --port=8080 \ --address=localhost \ --show app PCF Dev Python Built-in Buildpack Python built-in buildpack takes care of library installations cf login -a api.local.pcfdev.io cf create-service p-redis \ shared-vm iot_redis Procfile web: bokeh serve --port=8080 \ --allow-websocketorigin=iotapp1.local.pcfdev.io \ --address= \ --use-xheaders \ --log-level=debug app Pivotal Web Services Python Built-in Buildpack Python built-in buildpack takes care of library installations cf login -a api.run.pivotal.io cf create-service rediscloud \ 30mb iot_redis Procfile web: bokeh serve --port=$port \ --allow-websocketorigin=iotapp1.cfapps.io:4443 \ --address= \ --use-xheaders --log-level=debug app App URL

13 Demo

14 Customer 360 Acquire and retain customers Enhanced Customer Engagement Staffing/Human Capital Management Artificial intelligence (AI) Customer satisfaction, Productivity, workforce optimization Image of the customer NOTE: Assume customers opt in to provide personal and locational data. Scenario Video Management System detects the license plate of a Highly Valued Customer in the bank s parking lot then sends an alert to the Banking Staff. The alert will include the mood of the customer from a facial recognition application plus a customer dashboard providing the Banking Staff with important information about the customer. Resulting in high quality customer service. Bank Parking Lot IP Cameras Video Capture Software AI Application MJV Detects License Plate Within the Milestone Video Bank IP Cameras Creates an EVENT Creates an Alert Bank Staff Dashboard App Includes: Searching for Customer s Car in the Chase Parking Lot Customer Screen containing the Customer s mood, value, transaction history, etc

15 Next Steps Extended IoT use cases Deep Learning GPU as-a-service Native Hybrid Cloud Edge Compute Next-gen IoT solution

16 Appendix

17 Localhost Read sensor data from MongoDB Python 2.7 (Anaconda Python 2.7) Use virtualenv or conda environments Cache data in local Redis Dependency libraries Bokeh Tornado Redis pymongo Numpy Directory Structure app main.py set_environ_variables.sh

18 Localhost: Define MongoDB Credentials Set up a shell script $ cat set_environ_variables.sh #!/bin/sh export MONGO_ENV_HOST= mongo.domain.com export MONGO_ENV_USERNAME= user export MONGO_ENV_PASSWORD= pass export MONGO_ENV_AUTHSOURCE= iotlab export MONGO_ENV_PORT=27017 Execute source set_environ_variables.sh In Python script: mongoip = os.getenv('mongo_env_host', mongoip) mongouser = os.getenv('mongo_env_username', mongouser) mongopwd = os.getenv('mongo_env_password', mongopwd) mongoauthsrc = os.getenv('mongo_env_authsource', mongoauthsrc) mongoport = int(os.getenv('mongo_env_port', mongoport)) uri = "mongodb://{}:{}@{}:{}/?authsource={}".format(mongouser, \ mongopwd, mongoip, mongoport, mongoauthsrc)

19 Run on Localhost $ bokeh serve --port= address=localhost --show app Browse

20 Router Pushing an App cf push push app Blobstore DB Service credentials + app MD 1 Upload app bits and metadata CC + CC Bridge + Brain Service Broker Node(s) 2 Create and bind services Cell 3 Stage application DEA DEADEA + = 4 Deploy application

21 PCF Dev Python buildpack takes care of `pip install` Procfile $ cat requirements.txt tornado==4.4.2 bokeh>= numpy== pymongo==3.3.0 redis== $ cat Procfile web: bokeh serve --port= address= allow-websocket-origin=iotapp1.local.pcfdev.io --use-xheaders --log-level=debug app Directory Structure.cfignore Procfile app main.py manifest.yml requirements.txt

22 PCF Dev (Contd.) Login via endpoint Microservices Two ways to define MongoDB Credentials In manifest.yml cf cups cf cups iotapp-mongo-config -p '{"MONGO_ENV_HOST": "mongo.domain.com", "MONGO_ENV_USERNAME": "user", "MONGO_ENV_PASSWORD": "pass",...}' cf login -a --skip-ssl-validation cf create-service p-redis shared-vm iot_redis --- applications: - name: iotapp1 buildpack: python_buildpack memory: 128M disk_quota: 256M services: - iot_redis env: MONGO_ENV_SERVER_IP: mongo.domain.com MONGO_ENV_USERNAME: user MONGO_ENV_PASSWORD: pass MONGO_ENV_AUTHSOURCE: iotlab MONGO_ENV_PORT: 27017

23 Run on PCF Dev cf push Mircroservice bound to app

24 Pivotal Cloud Foundry / PWS Python buildpack takes care of `pip install` Procfile $ cat requirements.txt tornado==4.4.2 bokeh>= numpy== pymongo==3.3.0 redis== Directory Structure.cfignore Procfile app main.py manifest.yml requirements.txt Procfile for PCF web: bokeh serve --port=$port --allow-websocket-origin=iotapp1.cfapps.io --address= use-xheaders --log-level=debug app Procfile for PWS web: bokeh serve --port=$port --allow-websocket-origin=iotapp1.cfapps.io: address= use-xheaders --log-level=debug app

25 Pivotal Cloud Foundry / PWS (Contd.) Login via endpoint Microservices Two ways to define MongoDB Credentials In manifest.yml cf cups cf cups iotapp-mongo-config -p '{"MONGO_ENV_HOST": "mongo.domain.com", "MONGO_ENV_USERNAME": "user", "MONGO_ENV_PASSWORD": "pass",...}' cf login -a api.run.pivotal.io cf marketplace cf create-service rediscloud 30mb iot_redis --- applications: - name: iotapp1 buildpack: python_buildpack memory: 128M disk_quota: 256M services: - iot_redis env: MONGO_ENV_SERVER_IP: mongo.domain.com MONGO_ENV_USERNAME: user MONGO_ENV_PASSWORD: pass MONGO_ENV_AUTHSOURCE: iotlab MONGO_ENV_PORT: 27017