Deployment Guide¶

Fire Insights can be easily installed on an Azure Standalone VM.

prerequisite:¶

java 8 should be installed
if you do not already have it, Need to install

Download it from below link:

https://www.oracle.com/in/java/technologies/javase/javase-jdk8-downloads.html

Install using below command (Centos):

yum localinstall jdk-8uxxx-linux-x64.rpm

Set the below in .bash_profile:

export JAVA_HOME=/usr/java/jdk1.8.0_xxx-amd64/

Below are the overall steps for installing Fire Insights on VM.

ssh into the Azure VM
Download Fire Insights from https://www.sparkflows.io/download
Unzip it
Create H2 Database
Start Fire

Steps¶

Create a VM on Azure:

Create a vm if you do not already have it running.

Update the inbound rule

- ssh port ie 22 should be accessible to ssh to Azure VM.
- We would have Fire listening on ports 8080, so just ensure its opened.

ssh into the VM:
```
ssh -i my.pem userp@public ip.
```
Just Confirm that java 8 is already installed, if not follow above steps:
```
java -version
```
Download the fire tgz file by one of the following options:
Unpack it:
```
tar xvf fire-x.y.z.tgz
```

Create H2 DB:

Fire stores its metadata into the embedded H2 database. You can also connect it to an external MySQL database.

  cd <fire install_dir>
  ./create-h2-db.sh

Launch Fire Server:

cd <fire install_dir>
./run-fire-server.sh start

Open your web browser and navigate to:
```
<machine_ip>:8080
```
Login with the following default username and password:
```
username : admin
password : admin
```

Loading Example Workflows¶

From the home page of Fire Insights, click on *Load Example Applications*
Upload the Fire examples data with default or if data is available at anyother location, point to that location:

Install and Start Running Example Workflows¶

Start off with executing the example workflows:

- Fire comes pre-packaged with a number of example workflows, you can start executing.