Building a telecom network analytics platform using AWS Lambda, Amazon RDS, and visualization in QuickSight

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I'll create a basic AWS infrastructure for your telecom network analytics platform using Pulumi in C#. This will consist of an AWS RDS instance to store your data, an AWS Lambda function to process the data, and an Amazon QuickSight resource for visualization.

Please note, real-world, production-ready systems require additional considerations such as security, scalability, fault-tolerance, data replication, and more, which are not covered in this basic example:

using Pulumi;
using Aws = Pulumi.Aws;
using AwsNative = Pulumi.AwsNative;

class MyStack : Stack
{
    public MyStack()
    {
        // Create an AWS RDS instance
        var db = new Aws.Rds.Instance("myDb", new Aws.Rds.InstanceArgs
        {
            Engine = "mysql",
            InstanceClass = "db.t3.micro",
            Name = "mydatabase",
            Username = "foo",
            Password = "foobar",
            AllocatedStorage = 5,
            // More database arguments are needed for a production use case
        });

        // Create an AWS Lambda function
        var function = new Aws.Lambda.Function("myFunction", new Aws.Lambda.FunctionArgs
        {
            Role = new Aws.Iam.Role("myRole", new Aws.Iam.RoleArgs 
            {
                AssumeRolePolicy = 
                    @"{
                        ""Version"": ""2012-10-17"",
                        ""Statement"": [
                            {
                                ""Action"": ""sts:AssumeRole"",
                                ""Principal"": {
                                    ""Service"": ""lambda.amazonaws.com""
                                },
                                ""Effect"": ""Allow"",
                                ""Sid"": """"
                            }
                        ]
                    }"
            }).Arn,
            Handler = "index.handler",
            Code = new FileAsset("./index.zip"), // path to the file or directory
            Runtime = "nodejs12.x",
            // More lambda function arguments are needed for a production use case
        });

        // Create a AWS QuickSight Analysis resource
        var quicksightAnalysis = new Pulumi.AwsNative.QuickSight.Analysis("myAnalysis", new AwsNative.QuickSight.AnalysisArgs
        {
            AnalysisId = "my-analysis",
            AwsAccountId = "123456789012",
            Name = "my-analysis",
            // more parameters can be defined here based on your needs
        });

        // Export the name and endpoint of the RDS instance
        this.DbName = db.Name;
        this.DbEndpoint = db.Endpoint;
    }

    [Output] 
    public Output<string> DbName { get; set; }

    [Output] 
    public Output<string> DbEndpoint { get; set; }
}

In this structure, an Amazon RDS database is set up to receive and store data. The AWS Lambda function is used for processing data and can be triggered by various sources (not created in this boilerplate). Visualization is performed using an Amazon QuickSight resource.

Make sure to have your AWS account ID and credentials, QuickSight parameters ready. You will need to replace "mydatabase", "foo", "foobar", "analysis-id", and the AWS account ID with real values. Also, for the lambda function, you need to point to the .zip package of your function code.

Links to Pulumi resources:

Modify the above program as needed according to your infrastructure and data processing needs.

using Pulumi;
using Aws = Pulumi.Aws;
using AwsNative = Pulumi.AwsNative;

class MyStack : Stack
{
    public MyStack()
    {
        // Create an AWS RDS instance
        var db = new Aws.Rds.Instance("myDb", new Aws.Rds.InstanceArgs
        {
            Engine = "mysql",
            InstanceClass = "db.t3.micro",
            Name = "mydatabase",
            Username = "foo",
            Password = "foobar",
            AllocatedStorage = 5,
            // More database arguments are needed for a production use case
        });

        // Create an AWS Lambda function
        var function = new Aws.Lambda.Function("myFunction", new Aws.Lambda.FunctionArgs
        {
            Role = new Aws.Iam.Role("myRole", new Aws.Iam.RoleArgs 
            {
                AssumeRolePolicy = 
                    @"{
                        ""Version"": ""2012-10-17"",
                        ""Statement"": [
                            {
                                ""Action"": ""sts:AssumeRole"",
                                ""Principal"": {
                                    ""Service"": ""lambda.amazonaws.com""
                                },
                                ""Effect"": ""Allow"",
                                ""Sid"": """"
                            }
                        ]
                    }"
            }).Arn,
            Handler = "index.handler",
            Code = new FileAsset("./index.zip"), // path to the file or directory
            Runtime = "nodejs12.x",
            // More lambda function arguments are needed for a production use case
        });

        // Create a AWS QuickSight Analysis resource
        var quicksightAnalysis = new Pulumi.AwsNative.QuickSight.Analysis("myAnalysis", new AwsNative.QuickSight.AnalysisArgs
        {
            AnalysisId = "my-analysis",
            AwsAccountId = "123456789012",
            Name = "my-analysis",
            // more parameters can be defined here based on your needs
        });

        // Export the name and endpoint of the RDS instance
        this.DbName = db.Name;
        this.DbEndpoint = db.Endpoint;
    }

    [Output] 
    public Output<string> DbName { get; set; }

    [Output] 
    public Output<string> DbEndpoint { get; set; }
}

This program sets up an Amazon RDS database, an AWS Lambda function for data processing, and an Amazon QuickSight Analysis resource for visualization. This is a basic implementation to provide a starting point for building a network analytics platform, but you'll likely need to expand and adapt it to fit your specific needs.

Links to Pulumi resources used:

Remember to replace placeholders with real values. For example, you'll need to provide your AWS account ID, RDS configuration, Lambda function package, and QuickSight configuration. The Lambda function in this example expects the code to be bundled in a .zip file located in your project root directory. You can modify new FileAsset("./index.zip") to point to the right Lambda function package path.

Note: For a real-world production system, you'd likely need to handle more use cases and extend this example. These can include setting Lambda function triggers, configuring RDS instances for replication and high availability, handling security considerations, and more.