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AWS Classic ELB

note

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

Configure AWS to forward logs to Logz.io

When you set Logz.io to fetch Elastic Load Balancing (ELB) logs, Logz.io will periodically read logs from the configured S3 bucket. Elastic Load Balancing logs are useful for application usage intelligence and monitoring.

This service integration is specifically designed to work with the destination bucket to which the service writes its logs.

It is based on the service's naming convention and path structure.

If you're looking to ship the service's logs from a different bucket, please use the S3 Bucket shipping method instead.

Before you begin, you'll need: s3:ListBucket and s3:GetObject permissions for the required S3 bucket (one bucket per region)

Send your logs to an S3 bucket

Logz.io fetches your Elastic Load Balancing logs from an S3 bucket.

For help with setting this up, see these AWS doce

Add a new S3 bucket using the dedicated Logz.io configuration wizard

Log into the app to use the dedicated Logz.io configuration wizard and add a new S3 bucket.

  1. Click + Add a bucket
  2. Select your preferred method of authentication - an IAM role or access keys.

The configuration wizard will open.

  1. Select the hosting region from the dropdown list.
  2. Provide the S3 bucket name
  3. Optional You have the option to add a prefix.
  4. Choose whether you want to include the source file path. This saves the path of the file as a field in your log.
  5. Save your information.

S3 bucket IAM authentication wizard S3 bucket keyaccess authentication wizard

note

Logz.io fetches logs that are generated after configuring an S3 bucket. Logz.io cannot fetch old logs retroactively.

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.

Configure AWS to forward metrics to Logz.io

Deploy this integration to send your Amazon Classic ELB metrics to Logz.io.

This integration creates a Kinesis Data Firehose delivery stream that links to your Amazon Classic ELB 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.

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 Logz.io account

Configure AWS to forward metrics to Logz.io

1. Set the required minimum IAM permissions

configured the minimum required IAM permissions as follows:

  • Amazon S3:
    • s3:CreateBucket
    • s3:DeleteBucket
    • s3:PutObject
    • s3:GetObject
    • s3:DeleteObject
    • s3:ListBucket
    • s3:AbortMultipartUpload
    • s3:GetBucketLocation
  • AWS Lambda:
    • lambda:CreateFunction
    • lambda:DeleteFunction
    • lambda:InvokeFunction
    • lambda:GetFunction
    • lambda:UpdateFunctionCode
    • lambda:UpdateFunctionConfiguration
    • lambda:AddPermission
    • lambda:RemovePermission
    • lambda:ListFunctions
  • Amazon CloudWatch:
    • cloudwatch:PutMetricData
    • cloudwatch:PutMetricStream
    • logs:CreateLogGroup
    • logs:CreateLogStream
    • logs:PutLogEvents
    • logs:DeleteLogGroup
    • logs:DeleteLogStream
  • AWS Kinesis Firehose:
    • firehose:CreateDeliveryStream
    • firehose:DeleteDeliveryStream
    • firehose:PutRecord
    • firehose:PutRecordBatch
  • IAM:
    • iam:PassRole
    • iam:CreateRole
    • iam:DeleteRole
    • iam:AttachRolePolicy
    • iam:DetachRolePolicy
    • iam:GetRole
    • iam:CreatePolicy
    • iam:DeletePolicy
    • iam:GetPolicy
  • Amazon CloudFormation:
    • cloudformation:CreateStack
    • cloudformation:DeleteStack
    • cloudformation:UpdateStack
    • cloudformation:DescribeStacks
    • cloudformation:DescribeStackEvents
    • cloudformation:ListStackResources

2. 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-central-2Deploy to AWS
eu-north-1Deploy to AWS
eu-west-1Deploy to AWS
eu-west-2Deploy to AWS
eu-west-3Deploy to AWS
eu-south-1Deploy to AWS
eu-south-2Deploy 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-south-2Deploy to AWS
ap-southeast-1Deploy to AWS
ap-southeast-2Deploy to AWS
ap-southeast-3Deploy to AWS
ap-southeast-4Deploy to AWS
ap-east-1Deploy to AWS
ca-central-1Deploy to AWS
ca-west-1Deploy to AWS
af-south-1Deploy to AWS
me-south-1Deploy to AWS
me-central-1Deploy to AWS
il-central-1Deploy to AWS

3. Specify stack details

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

ParameterDescriptionRequired/Default
logzioListenerLogz.io listener URL for your region. (For more details, see the regions page. e.g., https://listener.logz.io:8053Required
logzioTokenYour Logz.io metrics shipping token.Required
awsNamespacesComma-separated list of AWS namespaces to monitor. See this list of namespaces. Use value all-namespaces to automatically add all namespaces.At least one of awsNamespaces or customNamespace is required
customNamespaceA custom namespace for CloudWatch metrics. 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. Choose the relevant endpoint from the drop down list based on your Logz.io account region.Required
httpEndpointDestinationIntervalInSecondsBuffer time in seconds before Kinesis Data Firehose delivers data.60
httpEndpointDestinationSizeInMBsBuffer size in MBs before Kinesis Data Firehose delivers data.5
debugModeEnable debug mode for detailed logging (true/false).false

4. View your metrics

Allow some time for data ingestion, then open your Logz.io metrics account.

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.