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Turning Open Data into an Open Event Stream with MQTT and microservices

We're fortunate that more institutions are publishing their data in the open. However, those formats aren't always the most accessible for consuming that data in applications. Take for instance the NY ISO data on the NY power grid. This 5 minute resolution data on the state of the grid is best served as an event stream.

Once we have converted the raw data into an event stream we can add additional processing. For instance, estimating the CO2 emissions generated over the course of the day. All of this is done as a series of microservices on Kubernetes, each tackling one specific part of the problem. This makes debug and adding new features much easier.

The Problem in Depth

We recently bought a Chevy Bolt EV, which we use as our primary vehicle. We charge at home with a Level 2 charger. When should we charge the car?

Static time of use billing in our area marks peak at 2pm - 7pm weekdays. While that's the only time the power company doesn't want you to charge, the grid varies a lot over the course of the day to match demand. The New York State Independent System Operator (NYISO) is responsible for managing the power grid in NY State. They provide near real time data about what fuel sources are being used to generate electricity in NY State.

NY Power Realtime Grid

While the data that powers this is public, there is no public API. The NY ISO does publish a set of 5 minute resolution CSV files on their servers at http://mis.nyiso.com/public/. These are updated every 5 to 20 minutes.

Instead of having every application parse CSV files directly, we can do better by making the data into a real time stream. This is done by polling and parsing the CSV in a micro service and publishing new events to a public MQTT service. The overhead for consuming a public MQTT service is very low, and requires just an open socket. After injesting this data we can also provide "value add" analysis of it, such as computing the estimated CO2 emitted per kWh of electricity generated over the course of the day. This added value data is also published on the MQTT bus and can be consumed directly.

A web page which connects directly to the MQTT service over a websocket shows how you can provide a dynamic web site with no server polling, only updating when relevant data is provided.

The entire application is deployed in Kubernetes using Helm. This makes it possible to bring up new copies of the application with very few user steps, and work on a development version of the application while a production version is running.

When the user has completed this Code Pattern they will understand how to:

  • Use an MQTT server to provide real time event stream
  • Consume an MQTT stream directly from a web browser
  • Deploy an application on Kubernetes with Helm

Flow

Architecture Diagram

  1. The user accesses the website
  2. The web browser directly accesses the MQTT service
  3. The applications data pump polls NY ISO every minute looking for new data.
  4. Data is pushed to MQTT service
  5. The archiver is subscribed to the MQTT service sends all new data to Influx DB
  6. On any new data it computes current CO2 / kWh, and publishes both it, and the recent time series to the MQTT service.

Included components

  • IBM Cloud Container Service

Featured technologies

  • Kubernetes: container orchestration
  • Helm: application packaging and deployment for Kubernetes
  • MQTT: light weight publish / subscribe protocol
  • Mosquitto: open source MQTT broker
  • Influxdb: time series database
  • Python: main programming language used for all logic

Prerequisites

Before proceeding you'll need to following:

  1. An IBM Cloud Account with Pay-Go level access - kubernetes clusters require a paid account, and the pattern uses Ingress Controllers and Load Balancer which aren't available at the free tier
  2. Install IBM developer tools
  3. Install Helm
  4. Install make on your platform to make it easy to build images.

Steps

1. Create you Kubernetes cluster

Create a Kubernetes cluster in the IBM Cloud Web Console. This pattern will work on the smallest node type (2x4), with a single node cluster, in a single availability zone. It can be installed in any region.

Note: it takes approximately 20 minutes for a kubernetes cluster to spin up. That needs to be done before the next step will work.

2. Setup IBM Tools and Helm

After the Kubernetes cluster is ready, it is time to configure all the tools locally.

# Log into IBM cloud
$ ibmcloud login

# List active clusters
$ ibmcloud cs clusters

If you see your cluster as normal you can proceed.

# Setup kubectl for your cluster
$ $(ibmcloud cs cluster-config <clustername> | grep export)

# Initialize helm
$ helm init

3. Configure Container Registry

The ny-power application needs to upload a number of custom images. You need to create a custom container registry to upload into.

$ ibmcloud cr namespace-add ny-power

4. Build required images

5 images are needed for the application to run. In order to simplify this there are 2 makefile targets that exist to generate and display versions of the 5 images. When build images is called the version number for the image is incremented every time to allow for rolling upgrades.

# generate all images
$ make build-images

The image versions can be displayed with

$ make image-versions

Note: Image building takes approximately 2 minutes

5. Create Helm overrides.yaml

There is a versioned configuration for the ny-power application at ny-power/values.yaml. To deploy in your environment you'll need to create an overrides file that's specific to your install.

# copy overrides sample
$ cp overrides.yaml.sample overrides.yaml

There are 3 types of information that must be updated:

The first is the image versions. make image-versions will return a list of version numbers that can be set in the overrides.yaml.

The second is the ingress host.

# Get the Ingress Subdomain
$ ibmcloud cs cluster-get <clustername>

Look for the Ingress Subdomain field.

The third is the shared secret for the MQTT service. Choose any secret you want.

6. Install with Helm

$ helm install ny-power -f overrides.yaml --name nytest

This will deploy the ny-power app with the name nytest. Helm allows you to have more than one version of an application running at the same time in the same cluster for developent, qa, or A/B testing purposes.

It also specifies to use your override values. This allows you to change those without impacting versioned configuration for the application.

You can see the status of deployment with:

$ helm status nytest

Note: Initial Deployment takes 3 - 5 minutes. Most of the time is spent provisioning persistent volumes for MQTT and Ingress pods.

7. Make changes and experiment

As you make changes to the application, either in the helm configuration, or make changes to the applications and images, you can do a live upgrade of the cluster.

Set any updated image versions in your overrides.yaml and run:

$ helm upgrade -f overrides.yaml nytest ny-power

Sample output

Deployment

A successful deployment looks like the following:

$ helm status nytest
LAST DEPLOYED: Tue Jul 10 10:24:04 2018
NAMESPACE: default
STATUS: DEPLOYED

RESOURCES:
==> v1/Secret
NAME                       TYPE    DATA  AGE
nytest-ny-power-mqtt-pump  Opaque  1     3m

==> v1/ServiceAccount
NAME                      SECRETS  AGE
nytest-ny-power-readersa  1        3m

==> v1/RoleBinding
NAME                           AGE
nytest-ny-power-read-services  3m

==> v1/Service
NAME                    TYPE          CLUSTER-IP      EXTERNAL-IP    PORT(S)                      AGE
nytest-ny-power-influx  ClusterIP     172.21.190.64   <none>         8086/TCP                     3m
nytest-ny-power-mqtt    LoadBalancer  172.21.189.72   169.60.78.154  1883:32230/TCP,80:31009/TCP  3m
nytest-ny-power-web     ClusterIP     172.21.180.134  <none>         5000/TCP                     3m

==> v1/PersistentVolumeClaim
NAME                        STATUS  VOLUME                                    CAPACITY  ACCESS MODES  STORAGECLASS      AGE
nytest-ny-power-influx-nfs  Bound   pvc-e5e38aca-844c-11e8-894f-0a833e5777dc  20Gi      RWX           ibmc-file-silver  3m
nytest-ny-power-mqtt-nfs    Bound   pvc-e5e4354c-844c-11e8-894f-0a833e5777dc  20Gi      RWX           ibmc-file-silver  3m

==> v1/Role
NAME                             AGE
nytest-ny-power-services-reader  3m

==> v1/Deployment
NAME                     DESIRED  CURRENT  UP-TO-DATE  AVAILABLE  AGE
nytest-ny-power-archive  1        1        1           1          3m
nytest-ny-power-pump     1        1        1           1          3m
nytest-ny-power-influx   1        1        1           1          3m
nytest-ny-power-mqtt     1        1        1           1          3m
nytest-ny-power-web      2        2        2           2          3m

==> v1beta1/Ingress
NAME                         HOSTS                                         ADDRESS        PORTS  AGE
nytest-ny-power-www-ingress  sdague-k001.us-east.containers.mybluemix.net  169.60.78.158  80     3m

==> v1/Pod(related)
NAME                                      READY  STATUS   RESTARTS  AGE
nytest-ny-power-archive-6449595859-4kf98  1/1    Running  0         3m
nytest-ny-power-pump-6bffd5ffb5-j7lm5     1/1    Running  1         3m
nytest-ny-power-influx-66f4789cd8-rqw8z   1/1    Running  0         3m
nytest-ny-power-mqtt-569ddb657d-mblr9     1/1    Running  0         3m
nytest-ny-power-web-56c54b69c5-sb56s      1/1    Running  0         3m
nytest-ny-power-web-56c54b69c5-snbmd      1/1    Running  0         3m

You will be able to browse to your Ingress Subdomain (in this example: http://sdague-k001.us-east.containers.mybluemix.net) and see the application running.

Application

A successful deployment of the application will look as follows:

NY Power intensity

This visualizes a number of things:

  1. The current carbon intensity of the NY ISO grid
  2. A historical view of carbon intensity over the last 20 hours to visualize trends
  3. The current mix of fuels in the NY ISO grid

All of these will be updated everytime there is new information published on the MQTT bus with no user interaction or polling needed.

Links

Learn more

License

This code pattern is licensed under the Apache Software License, Version 2. Separate third party code objects invoked within this code pattern are licensed by their respective providers pursuant to their own separate licenses. Contributions are subject to the Developer Certificate of Origin, Version 1.1 (DCO) and the Apache Software License, Version 2.

Apache Software License (ASL) FAQ

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Create a real-time stream of carbon intensity for the NY State power grid with MQTT and Kubernetes

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