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Testing Network Settings section [DOC-504]
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src/connections/storage/catalog/postgres/index.md

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@@ -91,23 +91,19 @@ As a supplement to this guide, Amazon has created an official guide to [setting
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Select the **Databases** tab on the left sidebar and click **Create database**. On the Create database page, select **Standard create.**
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5. Select the PostgreSQL Engine.
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In the Engine options section, select **PostgreSQL**.
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<!--Ask an engineer about what versions of PostgreSQL we support-->
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In the Engine options section, select **PostgreSQL** and the version you want to use. _**Note:** Versions of PostgreSQL prior to 12.3 don't support m6g and r6g generation instance classes._
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6. Select a database template.
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If you anticipate high utilization on your Postgres database, or if downtime is unacceptable, choose **Production**. If you don't plan to have high-utilization of your database or if periods of downtime are acceptable and you know how to recover from them, choose **Dev/Test**.
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If you anticipate high utilization on your Postgres database, or if downtime is unacceptable, select **Production**. If you don't plan to have high-utilization of your database or if periods of downtime are acceptable and you know how to recover from them, select **Dev/Test**.
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<br/><br/>
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With the Free tier option, you have up to 750 hours of a Single-AZ db.t2.micro, db.t3.micro, or db.t4g.micro database running PostgreSQL. For more information about the AWS Free Tier with Amazon RDS, see Amazon's [Amazon RDS Free Tier documentation](https://aws.amazon.com/rds/free/).
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<!--Ask an engineer: will/can the free tier support a Segment integration?-->
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With the Free tier option, you have up to 750 hours of availability for a Single-AZ db.t2.micro, db.t3.micro, or db.t4g.micro database running PostgreSQL. For more information about the AWS Free Tier with Amazon RDS, see Amazon's [Amazon RDS Free Tier documentation](https://aws.amazon.com/rds/free/).
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7. Specify the availability and durability of the database.
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The deployment options are:
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<!--Ask an engineer which one of these options is recommended, or if there are any that aren't supported-->
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- **Multi-AZ DB Cluster:** This option creates a cluster of databases with one primary database and two standby database instances, each in a different Availability Zone (AZ.) This option provides high availability and data redundancy, and provides the capacity to serve read workloads.
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9. Select a DB instance class and size.
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Standard classes provide a balance of compute, memory, and network resources. Memory optimized classes prioritize memory, and burstable classes provide a baseline level of compute resources with the ability to provide additional resources if the demand exceeds ("bursts") above the baseline.
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Select a DB size that will work for your integration.
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<!--Ask an engineer if a Segment integration requires a minimum size/specific class here-->
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Select a DB size that works for your integration.
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10. Configure the storage options for your database.
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- **Storage type:** While most integrations require General Purpose (SDD) storage, which provides a baseline of 3 IOPS/GiB with the ability to burst to 3,000 IOPS, databases with high I/O should consider selecting the Provisioned IOPS (SSD) storage. The Provisioned IOPS (SSD) option allows users to provision 1,000-80,000 IOPSfor their databases.
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- **Allocated storage:** Select the amount of storage your database requires.
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- **Provisioned IOPS:** Select the number of IOPS your database requires.
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- **Storage autoscaling:** Users with Mutli-AZ instances/a single DB instance can select this option to allow storage to autoscale once the data in a database exceeds a set threshold.
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<!-- Ask an engineer if a Segment integration requires a minimum about of storage-->
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11. Set up the connectivity options for your database.
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#### Network Permissions for Segment to RDS
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This guide will help you change permissions on your Amazon Relational Database Service (RDS) instance to allow Segment to connect.
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To create an inbound rule allowing Segment to connect to your instance:
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1. Open the RDS Console
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1. Open the RDS Console.
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To get to the RDS console when you are logged in to AWS, visit [this page](https://console.aws.amazon.com/rds/).
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2. Go to the Instances tab.
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On the left-hand sidebar, click **Instances**.
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3. Go to the Connect and Details sections of the DB Instance.
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You can do this by clicking in the instance and scrolling down to the relevant sections.
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![](images/rds10.png)
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2. Open the Databases tab.
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4. Click on the security group.
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3. Select your database and open the Connectivity & security tab. Open the **Security group rules** section.
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This should bring you to a page to configure the active security group.
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4. Click on the inbound security group and select the Inbound rules tab.
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![](images/rds11.png)
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5. Click **Edit inbound rules** to add a new rule, and click **Add rule**.
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5. Click on the Inbound tab.
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This should bring you to a screen that looks like this
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![](images/rds12.png)
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6. Click **Edit** to add a new rule.
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Select PostgreSQL as the type. For **Source**, change the custom IP to `52.25.130.38/32`. This will allow Segment to connect to the instance. Press Save when done.
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![](images/rds13.png)
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Segment should be able to connect to your database now!
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6. Add a new rule with the following parameters:
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- Select **PostgreSQL** as the type.
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- For **Source**, change the custom IP to `52.25.130.38/32`. This will allow Segment to connect to the instance.
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When you're finished, click **Save**.
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## Compose Postgres
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