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AWS Kinesis Data Firehose

Logs

This project deploys instrumentation that allows shipping Cloudwatch logs to Logz.io, with a Firehose Delivery Stream. It uses a Cloudformation template to create a Stack that deploys:

  • Firehose Delivery Stream with Logz.io as the stream's destination.
  • Lambda function that adds Subscription Filters to Cloudwatch Log Groups, as defined by user's input.
  • Roles, log groups, and other resources that are necessary for this instrumentation.
Auto-deploy the Stack

To deploy this project, click the button that matches the region you wish to deploy your Stack to:

RegionDeployment
us-east-1Deploy to AWS
us-east-2Deploy to AWS
us-west-1Deploy to AWS
us-west-2Deploy to AWS
eu-central-1Deploy to AWS
eu-north-1Deploy to AWS
eu-west-1Deploy to AWS
eu-west-2Deploy to AWS
eu-west-3Deploy to AWS
sa-east-1Deploy to AWS
ap-northeast-1Deploy to AWS
ap-northeast-2Deploy to AWS
ap-northeast-3Deploy to AWS
ap-south-1Deploy to AWS
ap-southeast-1Deploy to AWS
ap-southeast-2Deploy to AWS
ca-central-1Deploy to AWS
Specify stack details

Specify the stack details as per the table below, check the checkboxes and select Create stack.

ParameterDescriptionRequired/Default
logzioTokenThe token of the account you want to ship logs to.Required
logzioListenerListener host.Required
logzioTypeThe log type you'll use with this Lambda. This can be a built-in log type, or a custom log type.logzio_firehose
servicesA comma-seperated list of services you want to collect logs from. Supported options are: apigateway, rds, cloudhsm, cloudtrail, codebuild, connect, elasticbeanstalk, ecs, eks, aws-glue, aws-iot, lambda, macie, amazon-mq.-
customLogGroupsA comma-seperated list of custom log groups you want to collect logs from-
triggerLambdaTimeoutThe amount of seconds that Lambda allows a function to run before stopping it, for the trigger function.60
triggerLambdaMemoryTrigger function's allocated CPU proportional to the memory configured, in MB.512
triggerLambdaLogLevelLog level for the Lambda function. Can be one of: debug, info, warn, error, fatal, panicinfo
httpEndpointDestinationIntervalInSecondsThe length of time, in seconds, that Kinesis Data Firehose buffers incoming data before delivering it to the destination60
httpEndpointDestinationSizeInMBsThe size of the buffer, in MBs, that Kinesis Data Firehose uses for incoming data before delivering it to the destination5
caution

AWS limits every log group to have up to 2 subscription filters. If your chosen log group already has 2 subscription filters, the trigger function won't be able to add another one.

Send logs

Give the stack a few minutes to be deployed.

Once new logs are added to your chosen log group, they will be sent to your Logz.io account.

Important

If you've used the services field, you'll have to wait 6 minutes before creating new log groups for your chosen services. This is due to cold start and custom resource invocation, that can cause the Lambda to behave unexpectedly.

Check Logz.io for your logs

Give your logs some time to get from your system to ours, and then open Open Search Dashboards.

If you still don't see your logs, see log shipping troubleshooting.

Metrics

note

For a much easier and more efficient way to collect and send metrics, consider using the Logz.io telemetry collector.

Deploy this integration to send your Amazon Kinesis Data Firehose metrics to Logz.io.

This integration creates a Kinesis Data Firehose delivery stream that links to your Amazon Kinesis Data Firehose metrics stream and then sends the metrics to your Logz.io account. It also creates a Lambda function that adds AWS namespaces to the metric stream, and a Lambda function that collects and ships the resources' tags.

Log in to your Logz.io account and navigate to the current instructions page inside the Logz.io app. Install the pre-built dashboard to enhance the observability of your metrics.

To view the metrics on the main dashboard, log in to your Logz.io Metrics account, and open the Logz.io Metrics tab.

Before you begin, you'll need:

  • An active account with Logz.io

Configure AWS to forward metrics to Logz.io

Create Stack in the relevant region

To deploy this project, click the button that matches the region you wish to deploy your Stack to:

RegionDeployment
us-east-1Deploy to AWS
us-east-2Deploy to AWS
us-west-1Deploy to AWS
us-west-2Deploy to AWS
eu-central-1Deploy to AWS
eu-north-1Deploy to AWS
eu-west-1Deploy to AWS
eu-west-2Deploy to AWS
eu-west-3Deploy to AWS
sa-east-1Deploy to AWS
ap-northeast-1Deploy to AWS
ap-northeast-2Deploy to AWS
ap-northeast-3Deploy to AWS
ap-south-1Deploy to AWS
ap-southeast-1Deploy to AWS
ap-southeast-2Deploy to AWS
ca-central-1Deploy to AWS

Specify stack details

Specify the stack details as per the table below, check the checkboxes and select Create stack.

ParameterDescriptionRequired/Default
logzioListenerThe Logz.io listener URL for your region. (For more details, see the regions page. For example - https://listener.logz.io:8053Required
logzioTokenYour Logz.io metrics shipping token.Required
awsNamespacesComma-separated list of the AWS namespaces you want to monitor. See this list of namespaces. If you want to automatically add all namespaces, use value all-namespaces.At least one of awsNamespaces or customNamespace is required
customNamespaceA custom namespace for CloudWatch metrics. This is used to specify a namespace unique to your setup, separate from the standard AWS namespaces.At least one of awsNamespaces or customNamespace is required
logzioDestinationYour Logz.io destination URL.Required
httpEndpointDestinationIntervalInSecondsThe length of time, in seconds, that Kinesis Data Firehose buffers incoming data before delivering it to the destination.60
httpEndpointDestinationSizeInMBsThe size of the buffer, in MBs, that Kinesis Data Firehose uses for incoming data before delivering it to the destination.5

Check Logz.io for your metrics

Give your data some time to get from your system to ours, then log in to your Logz.io Metrics account, and open the Logz.io Metrics tab.

Log in to your Logz.io account and navigate to the current instructions page inside the Logz.io app. Install the pre-built dashboard to enhance the observability of your metrics.

To view the metrics on the main dashboard, log in to your Logz.io Metrics account, and open the Logz.io Metrics tab.