AWS solutions documentation change
Summary
Reformatted EC2 instance details and changed numbered lists to bullet points
Security assessment
The changes are structural and formatting improvements with no security-related content added or modified.
Diff
diff --git a/solutions/latest/scalable-analytics-using-apache-druid-on-aws/deployment-process-overview.md index 129c4f088..092723e6d 100644 --- a/solutions/latest/scalable-analytics-using-apache-druid-on-aws/deployment-process-overview.md +++ b/solutions/latest/scalable-analytics-using-apache-druid-on-aws/deployment-process-overview.md @@ -36,8 +36 @@ AWS service | Dimensions -Amazon EC2 | - - * Druid master: 3 x t4g.medium - * Druid query: 3 x t4g.medium - * Druid data: 3 x (t4g.medium + 100GB EBS GP2 volume) - * ZooKeeper: 3 x t4g.small - - +Amazon EC2 | * Druid master: 3 x t4g.medium * Druid query: 3 x t4g.medium * Druid data: 3 x (t4g.medium + 100GB EBS GP2 volume) * ZooKeeper: 3 x t4g.small @@ -55,8 +48 @@ AWS service | Dimensions -Amazon EC2 | - - * Druid master: 3 x m6g.xlarge - * Druid query: 3 x m6g.xlarge - * Druid data: 3 x (m6g.2xlarge + 500 GB EBS GP2 volume) - * ZooKeeper: 3 x t4g.medium - - +Amazon EC2 | * Druid master: 3 x m6g.xlarge * Druid query: 3 x m6g.xlarge * Druid data: 3 x (m6g.2xlarge + 500 GB EBS GP2 volume) * ZooKeeper: 3 x t4g.medium @@ -74,8 +60 @@ AWS service | Dimensions -Amazon EC2 | - - * Druid master: 3 x m6g.4xlarge - * Druid query: 3 x m6g.4xlarge - * Druid data: 3 x (m6g.16xlarge + 5 TB EBS GP2 volume) - * ZooKeeper: 3 x m5.2xlarge - - +Amazon EC2 | * Druid master: 3 x m6g.4xlarge * Druid query: 3 x m6g.4xlarge * Druid data: 3 x (m6g.16xlarge + 5 TB EBS GP2 volume) * ZooKeeper: 3 x m5.2xlarge @@ -91 +70 @@ Amazon CloudWatch | 1,000 GB standard logs ingested per month, 200 custom metr - 1. From the solution [GitHub repository](https://github.com/aws-solutions/scalable-analytics-using-apache-druid-on-aws), download the source files for this solution The Scalable Analytics using Apache Druid on AWS templates are generated using the [AWS Cloud Development Kit (AWS CDK) (AWS CDK)](https://aws.amazon.com/cdk/). + * From the solution [GitHub repository](https://github.com/aws-solutions/scalable-analytics-using-apache-druid-on-aws), download the source files for this solution The Scalable Analytics using Apache Druid on AWS templates are generated using the [AWS Cloud Development Kit (AWS CDK)](https://aws.amazon.com/cdk/). @@ -93 +72 @@ Amazon CloudWatch | 1,000 GB standard logs ingested per month, 200 custom metr - 2. Open the terminal and navigate to the source directory: `cd source/` + * Open the terminal and navigate to the source directory: `cd source/` @@ -95 +74 @@ Amazon CloudWatch | 1,000 GB standard logs ingested per month, 200 custom metr - 3. Using `cdk.json`, configure the solution for your requirements. + * Using `cdk.json`, configure the solution for your requirements. @@ -101 +80 @@ We recommend using the `cdk.json` example in the `source/quickstart` folder, and - 4. To install the solution dependencies, type `npm install`. + * To install the solution dependencies, type `npm install`. @@ -103 +82 @@ We recommend using the `cdk.json` example in the `source/quickstart` folder, and - 5. To build the code, type `npm run build`. + * To build the code, type `npm run build`. @@ -105 +84 @@ We recommend using the `cdk.json` example in the `source/quickstart` folder, and - 6. To deploy the solution, type `npm run cdk deploy`. + * To deploy the solution, type `npm run cdk deploy`. @@ -116 +95 @@ AWS CDK will deploy a stack with the specified name and provisioned resources fo - 1. Sign into your [AWS Management console](https://console.aws.amazon.com/), and navigate to **CloudFormation > Stacks**. Make sure you select the Region where this solution has been deployed. + * Sign into your [AWS Management console](https://console.aws.amazon.com/), and navigate to **CloudFormation > Stacks**. Make sure you select the Region where this solution has been deployed. @@ -118 +97 @@ AWS CDK will deploy a stack with the specified name and provisioned resources fo - 2. Select the stack name to view the provisioned resources. + * Select the stack name to view the provisioned resources. @@ -120 +99 @@ AWS CDK will deploy a stack with the specified name and provisioned resources fo - +**Solution provisioned resources** @@ -122 +101 @@ AWS CDK will deploy a stack with the specified name and provisioned resources fo -_**Solution provisioned resources**_ +