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AWS Network Load Balancer

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AWS Network Load Balancer service is distributed in OSI Layer 4 (the network layer) traffic (TCP, UDP, TLS) and can handle over a million requests per second.

The Sumo Logic app for AWS Network Load Balancer is using metrics to provide insights to ensure that your network load-balancers are operating as expected, backend hosts are healthy, and to quickly identify errors.

Metric types

The AWS Network Load Balancer app uses AWS Network Load Balancer metrics.

Sample queries

Active Flows (Connections) by Load Balancer (Metric-based)
account=* region=* LoadBalancer=* Namespace=aws/NetworkELB metric=ActiveFlowCount Statistic=Sum | sum by account, region, namespace, LoadBalancer

Collecting Metrics for AWS Network Load Balancer app

Sumo Logic supports collecting metrics using two source types:

Namespace for Amazon Network Load Balancer Service is AWS/NetworkELB.

  • Metadata: Add an account field to the source and assign it a value which is a friendly name / alias to your AWS account from which you are collecting metrics. Metrics can be queried via the “account field”.

Field in Field Schema

  1. Classic UI. In the main Sumo Logic menu, select Manage Data > Logs > Fields.
    New UI. In the top menu select Configuration, and then under Logs select Fields. You can also click the Go To... menu at the top of the screen and select Fields.
  2. Search for the “networkloadbalancer” field.
  3. If not present, create it. Learn how to create and manage fields here.

Field Extraction Rule(s)

Create Field Extraction Rule for AWS Network Load Balancer Access Logs. Learn how to create Field Extraction Rule here.

Create/Update Field Extraction Rule(s) for Network Load Balancer CloudTrail logs

Rule Name: AwsObservabilityNLBCloudTrailLogsFER
Applied at: Ingest Time
Scope (Specific Data): account=* eventSource eventName "elasticloadbalancing.amazonaws.com" "2015-12-01"
Parse Expression
json "eventSource", "awsRegion", "recipientAccountId", "requestParameters.name", "requestParameters.type", "requestParameters.loadBalancerArn", "apiVersion" as event_source, region, accountid, networkloadbalancer, loadbalancertype, loadbalancerarn, api_version nodrop 
|"" as namespace
| where event_source = "elasticloadbalancing.amazonaws.com" and api_version matches "2015-12-01"
| parse field=loadbalancerarn ":loadbalancer/*/*/*" as balancertype, networkloadbalancer, f1 nodrop
| if(loadbalancertype matches "network", "aws/nlb", if(balancertype matches "net", "aws/nlb", namespace)) as namespace
| if(loadbalancertype matches "application", "aws/applicationelb", if(balancertype matches "app", "aws/applicationelb", namespace)) as namespace
| where namespace="aws/nlb" or isEmpty(namespace)
| toLowerCase(networkloadbalancer) as networkloadbalancer
| fields region, namespace, networkloadbalancer, accountid

Metric Rules

Create the following Metric Rule for the AWS/NetworkELB namespace if not already created. Learn how to create a Metrics Rule here.

Rule 1*
Rule name: AwsObservabilityNLBMetricsAddonEntityRule
Metric match expression: Namespace=AWS/NetworkELB LoadBalancer=*
Variable name: networkloadbalancer
Tag sequence: $LoadBalancer._1
Save it

Installing the AWS Network Load Balancer app

Now that you have set up a collection for AWS Network Load Balancer, install the Sumo Logic app to use the pre-configured dashboards that provide visibility into your environment for real-time analysis of overall usage.

To install the app:

  1. Select App Catalog.
  2. In the 🔎 Search Apps field, run a search for your desired app, then select it.
  3. Click Install App.
    note

    Sometimes this button says Add Integration.

  4. On the next configuration page, under Select Data Source for your App, complete the following fields:
    • Data Source. Select one of the following options:
      • Choose Source Category and select a source category from the list; or
      • Choose Enter a Custom Data Filter, and enter a custom source category beginning with an underscore. For example, _sourceCategory=MyCategory.
    • Folder Name. You can retain the existing name or enter a custom name of your choice for the app.
    • All Folders (optional). The default location is the Personal folder in your Library. If desired, you can choose a different location and/or click New Folder to add it to a new folder.
  5. Click Next.
  6. Look for the dialog confirming that your app was installed successfully.
    app-success.png

Post-installation

Once your app is installed, it will appear in your Personal folder or the folder that you specified. From here, you can share it with other users in your organization. Dashboard panels will automatically start to fill with data matching the time range query received since you created the panel. Results won't be available immediately, but within about 20 minutes, you'll see completed graphs and maps.

Viewing AWS Network Load Balancer dashboards

All dashboards have a set of filters that you can apply to the entire dashboard. Use these filters to drill down and examine the data to a granular level.

  • You can change the time range for a dashboard or panel by selecting a predefined interval from a drop-down list, choosing a recently used time range, or specifying custom dates and times. Learn more.
  • If required, configure the refresh interval rate for a dashboard or panel by clicking the drop-down arrow next to the refresh icon.
  • Click the funnel icon in the dashboard top menu bar to filter dashboard with Template Variables.
    filter-dashboards

Overview

The The AWS Network Load Balancer - Overview dashboard provides detailed insights into a view of network utilization and performance. The dashboard provides information about the errors, health, and traffic handled by the load balancer.

Use this dashboard to:

  • Get an at-a-glance view of the number of errors and status of backend hosts.
  • Identify load balancers with the most number of unhealthy hosts.
  • Monitor trends around active connections, bytes processed, and reset packets to ensure load balancers are operating as expected.
AWS Network Load Balancer dashboards

Active and New Flows

The AWS Network Load Balancer - Active and New Flows dashboard provides detailed insights for new flows, and active flows for TCP, TLS, and UDP traffic. Use this dashboard to to monitor trends around active and new flows (connections) to make sure they line up with expectations, then use this information to scale up/scale down backend hosts.

AWS Network Load Balancer dashboards

Host Health Status

The AWS Network Load Balancer - Host Health Status dashboard provides detailed insights into the number of healthy and unhealthy hosts.

Use this dashboard to:

  • Get a quick overview of the number of healthy and unhealthy hosts.
  • Monitor trends around the number of unhealthy hosts to spot potential service disruptions that could warrant deeper investigation.
AWS Network Load Balancer dashboards

Errors

The AWS Network Load Balancer - Errors dashboard provides detailed insights into the errors reported by the network load balancer. This dashboard shows information for the total number of TLS handshakes that failed during negotiation between a client and a TLS listener, and the total number of TLS handshakes that failed during negotiation between a TLS listener and a target.

Use this dashboard to:

  • Monitor TLS handshake errors during negotiation between a client and a TLS listener, which could happen if clients are sending an incorrect cipher or are using incorrect protocols not matching the one specified in the security policy. It’s recommended to use the most recent AWS CLI client version.
  • Monitor TLS handshake errors during negotiation between a TLS listener and a target. Possible causes for this error include a mismatch of ciphers or protocols.
AWS Network Load Balancer dashboards

Reset (RST) Packets

The AWS Network Load Balancer - Reset (RST) Packets dashboard provides detailed insights into the number reset (RST) packets received by the network load balancer. The dashboard shows the information for the total number of reset (RST) packets sent from a client to a target , the total number of reset (RST) packets generated by the load balancer, and the total number of reset (RST) packets sent from a target to a client.

Use this dashboard to monitor the number of RST packets. A high number of reset packets could indicate connections are getting dropped and could mean a disruption in service.

AWS Network Load Balancer dashboards

Processed Bytes

The AWS Network Load Balancer - Processed Bytes dashboard provides detailed insights into the amount of bytes processed by the load balancer for total, UDP, TCP and TLS traffic. Use this dashboard to monitor trends around processed bytes to make sure they line up with expectations and then use that information to scale up or scale down backend hosts.

AWS Network Load Balancer dashboards

Consumed LCUs

The AWS Network Load Balancer - Consumed LCUs dashboard shows you the total number of load balancer capacity units (LCU) used by your load balancer by network protocol. Use this dashboard to optimize load balancer costs by monitoring trends around the number of load balancer capacity units (LCU) used by network protocol.

note

You pay for the number of LCUs that you use per hour.

AWS Network Load Balancer dashboards

CloudTrail Audit

The AWS Network Load Balancer - CloudTrail Audit dashboard provides a comprehensive overview of AWS Network Load Balancer activities through CloudTrail audit logs. It visualizes successful and failed events globally, event trends, error details, and user activities, offering insights into load balancer performance, security, and usage patterns.

Use this dashboard to:

  • Monitor the geographical distribution of successful and failed load balancer events, allowing for quick identification of regions with high activity or potential issues.
  • Track the overall success rate of load balancer events and analyze trends over time, helping to identify any sudden changes or patterns in performance.
  • Investigate specific error events, including their details, frequency, and associated users, enabling faster troubleshooting and resolution of issues.
  • Identify the most common error types and the users experiencing highest failure rates, facilitating targeted improvements and user support.
AWS Network Load Balancer dashboards
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