Struct AWSLogsIntegrationAPI

pub struct AWSLogsIntegrationAPI { /* private fields */ }

Configure your Datadog-AWS-Logs integration directly through Datadog API. For more information, see the AWS integration page.

Implementations

impl AWSLogsIntegrationAPI

pub fn new() -> Self

pub fn with_config(config: Configuration) -> Self

Examples found in repository

examples/v1_aws-logs-integration_ListAWSLogsServices.rs (line 8)

async fn main() {
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.list_aws_logs_services().await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v1_aws-logs-integration_ListAWSLogsIntegrations.rs (line 8)

async fn main() {
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.list_aws_logs_integrations().await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v1_aws-logs-integration_CreateAWSLambdaARN.rs (line 13)

async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.create_aws_lambda_arn(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v1_aws-logs-integration_DeleteAWSLambdaARN.rs (line 13)

async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.delete_aws_lambda_arn(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v1_aws-logs-integration_CheckAWSLogsLambdaAsync.rs (line 13)

async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.check_aws_logs_lambda_async(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

examples/v1_aws-logs-integration_EnableAWSLogServices.rs (line 20)

async fn main() {
    let body = AWSLogsServicesRequest::new(
        "1234567".to_string(),
        vec![
            "s3".to_string(),
            "elb".to_string(),
            "elbv2".to_string(),
            "cloudfront".to_string(),
            "redshift".to_string(),
            "lambda".to_string(),
        ],
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.enable_aws_log_services(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

Additional examples can be found in:

• examples/v1_aws-logs-integration_CheckAWSLogsServicesAsync.rs

pub fn with_client_and_config( config: Configuration, client: ClientWithMiddleware, ) -> Self

pub async fn check_aws_logs_lambda_async( &self, body: AWSAccountAndLambdaRequest, ) -> Result<AWSLogsAsyncResponse, Error<CheckAWSLogsLambdaAsyncError>>

Test if permissions are present to add a log-forwarding triggers for the given services and AWS account. The input is the same as for Enable an AWS service log collection. Subsequent requests will always repeat the above, so this endpoint can be polled intermittently instead of blocking.

• Returns a status of ‘created’ when it’s checking if the Lambda exists in the account.
• Returns a status of ‘waiting’ while checking.
• Returns a status of ‘checked and ok’ if the Lambda exists.
• Returns a status of ‘error’ if the Lambda does not exist.

Examples found in repository

examples/v1_aws-logs-integration_CheckAWSLogsLambdaAsync.rs (line 14)

async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.check_aws_logs_lambda_async(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn check_aws_logs_lambda_async_with_http_info( &self, body: AWSAccountAndLambdaRequest, ) -> Result<ResponseContent<AWSLogsAsyncResponse>, Error<CheckAWSLogsLambdaAsyncError>>

Test if permissions are present to add a log-forwarding triggers for the given services and AWS account. The input is the same as for Enable an AWS service log collection. Subsequent requests will always repeat the above, so this endpoint can be polled intermittently instead of blocking.

• Returns a status of ‘created’ when it’s checking if the Lambda exists in the account.
• Returns a status of ‘waiting’ while checking.
• Returns a status of ‘checked and ok’ if the Lambda exists.
• Returns a status of ‘error’ if the Lambda does not exist.

pub async fn check_aws_logs_services_async( &self, body: AWSLogsServicesRequest, ) -> Result<AWSLogsAsyncResponse, Error<CheckAWSLogsServicesAsyncError>>

Test if permissions are present to add log-forwarding triggers for the given services and AWS account. Input is the same as for EnableAWSLogServices. Done async, so can be repeatedly polled in a non-blocking fashion until the async request completes.

• Returns a status of created when it’s checking if the permissions exists in the AWS account.
• Returns a status of waiting while checking.
• Returns a status of checked and ok if the Lambda exists.
• Returns a status of error if the Lambda does not exist.

Examples found in repository

examples/v1_aws-logs-integration_CheckAWSLogsServicesAsync.rs (line 21)

async fn main() {
    let body = AWSLogsServicesRequest::new(
        "1234567".to_string(),
        vec![
            "s3".to_string(),
            "elb".to_string(),
            "elbv2".to_string(),
            "cloudfront".to_string(),
            "redshift".to_string(),
            "lambda".to_string(),
        ],
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.check_aws_logs_services_async(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn check_aws_logs_services_async_with_http_info( &self, body: AWSLogsServicesRequest, ) -> Result<ResponseContent<AWSLogsAsyncResponse>, Error<CheckAWSLogsServicesAsyncError>>

Test if permissions are present to add log-forwarding triggers for the given services and AWS account. Input is the same as for EnableAWSLogServices. Done async, so can be repeatedly polled in a non-blocking fashion until the async request completes.

• Returns a status of created when it’s checking if the permissions exists in the AWS account.
• Returns a status of waiting while checking.
• Returns a status of checked and ok if the Lambda exists.
• Returns a status of error if the Lambda does not exist.

pub async fn create_aws_lambda_arn( &self, body: AWSAccountAndLambdaRequest, ) -> Result<BTreeMap<String, Value>, Error<CreateAWSLambdaARNError>>

Attach the Lambda ARN of the Lambda created for the Datadog-AWS log collection to your AWS account ID to enable log collection.

Examples found in repository

examples/v1_aws-logs-integration_CreateAWSLambdaARN.rs (line 14)

async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.create_aws_lambda_arn(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn create_aws_lambda_arn_with_http_info( &self, body: AWSAccountAndLambdaRequest, ) -> Result<ResponseContent<BTreeMap<String, Value>>, Error<CreateAWSLambdaARNError>>

Attach the Lambda ARN of the Lambda created for the Datadog-AWS log collection to your AWS account ID to enable log collection.

pub async fn delete_aws_lambda_arn( &self, body: AWSAccountAndLambdaRequest, ) -> Result<BTreeMap<String, Value>, Error<DeleteAWSLambdaARNError>>

Delete a Datadog-AWS logs configuration by removing the specific Lambda ARN associated with a given AWS account.

Examples found in repository

examples/v1_aws-logs-integration_DeleteAWSLambdaARN.rs (line 14)

async fn main() {
    let body = AWSAccountAndLambdaRequest::new(
        "1234567".to_string(),
        "arn:aws:lambda:us-east-1:1234567:function:LogsCollectionAPITest".to_string(),
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.delete_aws_lambda_arn(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn delete_aws_lambda_arn_with_http_info( &self, body: AWSAccountAndLambdaRequest, ) -> Result<ResponseContent<BTreeMap<String, Value>>, Error<DeleteAWSLambdaARNError>>

Delete a Datadog-AWS logs configuration by removing the specific Lambda ARN associated with a given AWS account.

pub async fn enable_aws_log_services( &self, body: AWSLogsServicesRequest, ) -> Result<BTreeMap<String, Value>, Error<EnableAWSLogServicesError>>

Enable automatic log collection for a list of services. This should be run after running CreateAWSLambdaARN to save the configuration.

Examples found in repository

examples/v1_aws-logs-integration_EnableAWSLogServices.rs (line 21)

async fn main() {
    let body = AWSLogsServicesRequest::new(
        "1234567".to_string(),
        vec![
            "s3".to_string(),
            "elb".to_string(),
            "elbv2".to_string(),
            "cloudfront".to_string(),
            "redshift".to_string(),
            "lambda".to_string(),
        ],
    );
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.enable_aws_log_services(body).await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn enable_aws_log_services_with_http_info( &self, body: AWSLogsServicesRequest, ) -> Result<ResponseContent<BTreeMap<String, Value>>, Error<EnableAWSLogServicesError>>

Enable automatic log collection for a list of services. This should be run after running CreateAWSLambdaARN to save the configuration.

pub async fn list_aws_logs_integrations( &self, ) -> Result<Vec<AWSLogsListResponse>, Error<ListAWSLogsIntegrationsError>>

List all Datadog-AWS Logs integrations configured in your Datadog account.

Examples found in repository

examples/v1_aws-logs-integration_ListAWSLogsIntegrations.rs (line 9)

async fn main() {
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.list_aws_logs_integrations().await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn list_aws_logs_integrations_with_http_info( &self, ) -> Result<ResponseContent<Vec<AWSLogsListResponse>>, Error<ListAWSLogsIntegrationsError>>

List all Datadog-AWS Logs integrations configured in your Datadog account.

pub async fn list_aws_logs_services( &self, ) -> Result<Vec<AWSLogsListServicesResponse>, Error<ListAWSLogsServicesError>>

Get the list of current AWS services that Datadog offers automatic log collection. Use returned service IDs with the services parameter for the Enable an AWS service log collection API endpoint.

Examples found in repository

examples/v1_aws-logs-integration_ListAWSLogsServices.rs (line 9)

async fn main() {
    let configuration = datadog::Configuration::new();
    let api = AWSLogsIntegrationAPI::with_config(configuration);
    let resp = api.list_aws_logs_services().await;
    if let Ok(value) = resp {
        println!("{:#?}", value);
    } else {
        println!("{:#?}", resp.unwrap_err());
    }
}

pub async fn list_aws_logs_services_with_http_info( &self, ) -> Result<ResponseContent<Vec<AWSLogsListServicesResponse>>, Error<ListAWSLogsServicesError>>

Get the list of current AWS services that Datadog offers automatic log collection. Use returned service IDs with the services parameter for the Enable an AWS service log collection API endpoint.

Trait Implementations

impl Clone for AWSLogsIntegrationAPI

fn clone(&self) -> AWSLogsIntegrationAPI

Returns a duplicate of the value.

const fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for AWSLogsIntegrationAPI

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for AWSLogsIntegrationAPI

fn default() -> Self

Returns the “default value” for a type.