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Host FeatBit Feature Flag Service in production environment using Azure Container APPs

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Deploy FeatBit on Azure using Terraform

This repo contains terraform code for deploying FeatBit on Azure. FeatBit is a feature flag service that helps you manage feature flags and evaluate them in real-time. You can find more information about FeatBit in FeatBit official website and Github Repo.

Deploy to Azure

As shown in the figure above, FeatBit's services are deployed as Azure Container Apps (ACA) in Azure. Such as FeatBit's UI portal, FeatBit's API server, FeatBit's evaluation server, FeatBit's DA server. Evaluation service and API service communicate with DA service inside ACA.

Note: ACA is actually a managed Kubernetes cluster. You can find more information about ACA in Azure Container Apps official document.

All services are located in an Azure VNet, we use private endpoint and private DNS zone to secure the access to Azure Cache for Redis and Azure CosmosDB for MongoDB. You can find more information about private endpoint and private DNS zone in Azure official document.

FeatBit's UI portal, API server and Evaluation server are exposed to the public internet through an Azure Load Balancer and Azure IP addresses. You can find more information about Azure Load Balancer in Azure official document.

Azure Getting Started

If you're not familiar with Terraform Azure Provider, you can follow the steps in the official Azure Provider tutorial.

Deploy FeatBit to your Azure

# run terraform init to download the required providers
terraform init

# run terraform plan to see what will be deployed
terraform plan

# run terraform apply to deploy FeatBit to your Azure
terraform apply

Before applying the Terraform deployment, you can modify variables defined in variables.tf files to customize your deployment. For example, you can

  • Change the name of the resource group by changing the value of the resource_group_name variable in the variables.tf file in the terraform directory.
  • Change the name of the resources location by changing the value of location variable in the variables.tf file in the terraform directory.
  • Change the redis configuration by changing the value of redis variable in the variables.tf file in the terraform directory.

To change cpu, memory, number of replicas of each container app, you currently have to edit directly in the main.tf file in the terraform/aca directory. We will add these variables in the future to make installation easier.

Initialize Cosmos DB

After the deployment is finished, you need to:

Seed data

Please copy and run this script against your CosmosDB.

Create index

Due to compatiblity issues with MongoDB, we need to manually add some indexes to Cosmos DB, please follow this link

Example of how to initialize Cosmos DB

In Azure CosmosDB for MongoDB account, go to the Networking page, then:

  1. Set Public network access to "Selected networks"
  2. In the Firewall section, click "+ Add my current IP (...)"
  3. Click the Save button.

image

Open a MongoDB GUI tool, I used NoSqlBooster free edition in this example. Copy the connection string from CosmosDB to NoSqlBooster to connect to MongoDB.

image

  1. Copy and run this script in the NoSqlBooster.
  2. Copy and run the script mentioned in FeatBit's doc in the NoSqlBooster.

image

Then you can check if the tables and indexes are created correctly, as shown in the figure below.

image

After the scripts have been successfully executed, don't forget to remove the firewall setting that allowed your current IP to access the database.

Run FeatBit

Once all services have started, you can access FeatBit's portal with public URL generated by ACA and log in with the default credentials:

Important Notes

The Terraform code is actually only for the FeatBit Standard version. Click here to see the difference between Standard and Pro version

For Pro version, high availability solutions, or any other questions, you can contact us by creating an issue, joining our Slack channel, or emailing us at [email protected].

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Host FeatBit Feature Flag Service in production environment using Azure Container APPs

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