Elastic Cloud Deployment Guide

Store and analyse data from context-aware physical spaces in the cloud.

Elastic Cloud Deployment Guide

The TL;DR (Too Long; Didn't Read)

Learn how to create an Elastic Cloud deployment that ingests data from Pareto Anywhere.


What's Elastic Cloud?
Elastic Cloud is the easiest way to deploy, use and scale Elastic products on AWS, Azure or GCP.
What's Pareto Anywhere?
Pareto Anywhere is reelyActive's open source middleware that enables context-aware physical spaces with Elastic Stack integration.
Can I deploy locally?
Yes, it is possible to download Elasticsearch and download Kibana to deploy as you please, however this is outside the scope of this tutorial.

Create a Deployment   Step 1 of 3

From the Elastic Cloud dashboard, choose and create a new deployment.


Is this free of cost?
Elastic offers a free trial to start. After the trial, monthly billing will be applied against the cloud resources consumed.
How long does it take?
Creating a new deployment only takes a few minutes.
Create an Elastic Cloud Deployment

Sign Up or Log In Part 1

Browse to cloud.elastic.co and sign up or log in depending on your situation.

Sign up or Log in to Elastic Cloud

Create a Deployment Part 2

From the Elastic Cloud dashboard, click on Create deployment at the top right of the Elasticsearch Service box.

Create Elasticsearch Service deployment

The Create a deployment box should appear with the default settings and pricing.

Default Elastic Cloud Deployment

Customise the Deployment Part 3

The default deployment settings can be scaled back to provide an efficient initial deployment which can easily be scaled back up, if/when required.

Adjust the suggested configuration below to your situation.

Property Recommended setting
Name The name of the context-aware physical space this deployment represents
Cloud provider & Region Select based on geographic proximity and/or loyalty
Hardware profile General purpose
Version 8.x.x (latest)
Autoscale Enable for production deployments
Elasticsearch Choose the minimum size per zone, 1 zone
Machine Learning instances Enable, then choose the minimum size per zone, 1 zone*
Kibana Choose the minimum size per zone, 1 zone*
Integrations Server Choose the minimum size per zone, 1 zone*
Enterprise Search Choose the minimum size per zone, 1 zone*

* these instances should be included FREE in the Summary pane

Default Elastic Cloud Deployment

Note the hourly/monthly rate of the deployment based on the configuration. Click the Create deployment button at the bottom of the box to initiate the deployment, which should complete within a few minutes.

Copy the Root Credentials Part 4

While the deployment is being created…

copy the password associated with the elastic user, and store it in a safe place.

Elastic Cloud credentials

Click on the Continue button when the instance becomes available. Your deployment is ready!

Create a Role and User   Step 2 of 3

Create a role/user combination for Pareto Anywhere to push data to the deployment.


What are roles?
A role specifies what a given user can access and manipulate in Elasticsearch and Kibana.
What access is required?
Pareto Anywhere will need to write data to specific indices, which it will do by connecting to Elasticsearch with the user credentials created in this step.
Elastic Cloud role and user configuration

Initial Login Part 1

A welcome screen will offer the option to Add integrations or to Explore on your own. Click the Explore on my own option to proceed to the Home screen of the deployment.

Welcome to Elastic

Create Role Part 2

Navigate to the Roles page using the left menu bar, selecting Management | Stack Management → Security | Roles. From the Roles page, click on the Create role button.

Create role navigation

On the Create role page, enter pareto as the Role name, and then complete the fields in the Elasticsearch box as follows:

Cluster privileges
monitor
Indices
raddec, dynamb
Privileges
create_index, create_doc, read
Create pareto role in Elastic Cloud

Click on the Create role button at the bottom of the page to create the pareto role.

Create User Part 3

Navigate to the Users page using the left menu bar, selecting Management | Stack Management → Security | Users. From the Users page, click on the Create user button.

Create user navigation

On the Create user page, complete the fields as follows:

Username
pareto-anywhere
Full name
Pareto Anywhere
Password
Choose a strong password which will be required in Part 4
Roles
pareto
Create pareto-anywhere user in Elastic Cloud

Click on the Create user button at the bottom of the page to create the pareto-anywhere user.

Compile the Node URL Part 4

The deployment is now ready to receive data from a Pareto Anywhere instance, which will connect to Elasticsearch using the deployment's Node URL. The Node URL has the following form:

https://pareto-anywhere:password@host

As the username (pareto-anywhere) and password (from Part 3) are already known, the only remaining step is to retrieve the endpoint URL of the Elasticsearch instance, which includes the host.

Retrieve the endpoint URL of the Elasticsearch instance from the Elastic Cloud dashboard as follows:

Copy Elasticsearch endpoint

The Elasticsearch endpoint will likely have the form https://deployment-name.es.region.provider.elastic-cloud.com with the host being everything following the https://

Combine the username, password and host to determine the Node URL of the deployment, which should have the following form:

https://pareto-anywhere:password@deployment-name.es.region.provider.elastic-cloud.com

Use this Node URL to configure the Pareto Anywhere instance to forward raddec and dynamb data to the Elasticsearch instance, as indicated in the tutorials below, and then proceed to Step 3.

Create Data Views   Step 3 of 3

Create a data view for both raddec and dynamb data.


What's a data view?
A data view provides Kibana access to specific Elasticsearch data to explore.
What's a raddec?
A raddec is a data structure that represents a radio decoding.
What's a dynamb?
A dynamb is a data structure that represents dynamic ambient data.
Create Data Views

Confirm Data Part 1

Navigate to the Index Management page using the left menu bar, selecting Management | Stack Management → Data | Index Management.

Elasticsearch Index Management navigation

Confirm that the raddec and dynamb indices are present. This validates that Pareto Anywhere is forwarding data to the Elasticsearch instance.

Elasticsearch Index Management

Create raddec Data View Part 2

Navigate to the Data Views page using the left menu bar, selecting Management | Stack Management → Kibana | Data Views. From the Data Views page, click on the Create data view button.

Create Data View navigation

Create a data view of the raddec index by typing raddec in the Name field, and observe the notice that the index pattern matches 1 source. Select @timestamp in the Timestamp field.

Create raddec Data View

Click on the Create data view button at the bottom of the page to create the raddec data view. The raddec index is now accessible in Kibana.

Create dynamb Data View Part 3

Navigate to the Data Views page using the left menu bar, selecting Management | Stack Management → Kibana | Data Views. From the Data Views page, click on the Create data view button.

Create Data View navigation

Create a data view of the dynamb index by typing dynamb in the Name field, and observe the notice that the index pattern matches 1 source. Select @timestamp in the Timestamp field.

Create dynamb Data View

Click on the Create data view button at the bottom of the page to create the dynamb data view. The dynamb index is now accessible in Kibana.

Discover the data Part 4

Navigate to the Discover page using the left menu bar, selecting Analytics | Discover.

From the Discover page, select the raddec index from the data view pull-down and observe the raddec Documents which correspond to the selected time range. Select the dynamb index from the data view pull-down and observe the dynamb Documents which correspond to the selected time range.

Discover navigation

The Elastic Cloud deployment is ready for the exploration and analysis of data from context-aware physical spaces!

Tutorial prepared with by jeffyactive.

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