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F5 BIG-IP Local Traffic Manager

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The F5 - BIG-IP Local Traffic Manager (LTM) app helps you optimize and secure network traffic patterns coming into your data center using the F5 BIG-IP platform.

The Sumo Logic app for F5 - BIG-IP Local Traffic Manager (LTM) helps you optimize and secure network traffic patterns coming into your data center using the F5 BIG-IP platform. This app analyzes traffic flowing through the F5 Local Traffic Manager (LTM) and automatically detects threats using Sumo Logic Threat Intel. The Sumo Logic app for F5 - BIG-IP LTM provides pre-configured dashboards that allow you to monitor traffic details by application, facility, pool, active and non-responding hosts, connections, and logins. It also reports LTM CPU, disk usage, and outliers in LTM activities and traffic patterns.

Log types

The F5 - BIG-IP Local Traffic Manager (LTM) app uses event logs with payloads, as described in this document.

Sample log message

LTM Request Log
{
"event_source":"request_logging",
"event_timestamp":"2019-01-01:01:01.000Z",
"hostname":"hostname",
"client_ip":"192.0.2.42",
"server_ip":"",
"http_method":"GET",
"http_uri":"/",
"virtual_name":"/Common/app.app/app_vs",
"tenant":"Common",
"application":"app.app",
"telemetryEventCategory": "LTM"
}

Sample query

The following query sample is from the F5 - BIG-IP LTM - Overview Dashboard, Pool Status panel.

_sourceCategory=f5/bigip/ltm  systemInfo
| json field=_raw "telemetryEventCategory" as telemetryEventCategory
| json field=_raw "virtualServers"
| parse regex field=virtualServers "name\"\:\"(?<virtualServer_name>[\S]+?)\"" multi
| parse regex field=virtualServers "enabledState\"\:\"(?<enabledState>[\S]+?)\"" multi
| parse regex field=virtualServers "application\"\:\"(?<application>[\S]+?)\"" multi
| parse regex field=virtualServers "availabilityState\"\:\"(?<availabilityState>[\S]+?)\"" multi
| parse regex field=virtualServers "tenant\"\:\"(?<tenant>[\S]+?)\"" multi
| parse regex field=virtualServers "pool\"\:\"(?<pool>[\S]+?)\"" multi
| parse regex field=virtualServers "destination\"\:\"(?<destination>[\S]+?)\"" multi
| parse regex field=virtualServers "clientside.curConns\"\:(?<current_connections>[\S]+?)\," multi
| parse regex field=virtualServers "clientside.bitsOut\"\:(?<client_bits_out>[\S]+?)\," multi
| count by virtualServer_name, pool, application, enabledState, availabilityState

Collecting logs for the F5 - BIG-IP LTM app

This section provides instructions for collecting logs for the F5 - BIG-IP LTM App, as well as a sample log message and query sample.

Collection overview

The following image provides a high-level view of the F5 - BIG-IP LTM collection process using the Telemetry Streaming.
Telemetry-Services

Telemetry Streaming (TS) is a software RPM file. Installing it on BIG-IP enables you to declaratively aggregate, normalize, and forward statistics and events from the BIG-IP to a consumer application by posting a single TS JSON declaration to TS’s declarative REST API endpoint.

Telemetry Streaming uses a declarative model, meaning you provide a JSON declaration rather than a set of imperative commands. For more information on Telemetry Streaming, see here.

Configure log collection for the F5 - BIG-IP LTM app

Prerequisite

  1. Install AS3 RPM. The Application Services 3 (AS3) extension is a mechanism for declaratively configuring application-specific resources on a BIG-IP system. This involves posting a JSON declaration to the system’s API endpoint, https://< BIG-IP>/mgmt/shared/appsvcs/declare.
  2. Install Telemetry Streaming RPM (download from here).
  • Login to F5 (user admin, password from the above output), navigate to the Main tab, iApps > Package Management LX > Import.
  • Select the downloaded file and click Upload to upload Telemetry Streaming RPM. For more information on installing TS RPM, see here.
  1. Enable AVR. To enable the AVR, follow the steps below:
    • Go to System > Resource Provisioning.
    • Enable Application Visibility and Reporting (AVR)
    • Click Submit.

Collection Setup

Perform the following tasks to configure log collection for the F5 - BIG-IP LTM App.

Step 1: Create a Sumo Logic Hosted Collector

  1. Configure a Hosted Collector in Sumo Logic using these instructions.
  2. Add an HTTP source, configuring the Source Category with the string f5 in it (e.g., “f5/ltm”). Make a note of the URL for the HTTP source, as you will need it in the following steps. The URL for our example is: https://collectors.us2.sumologic.com/receiver/v1/http/Thisis4fakeendpoint4testing==.

Step 2: Use AS3 Declarative language to define a logging profile on BIG-IP.

Download AS3Listener.json from here, and we will use it to define the logging profile st BIG IP.

Use the following curl cmd to set logging profile at BIG-IP. Replace BIG-IP PWD, BIG-IP IP, and PORT in the following cmd:

curl -k --user admin:<BIG-IP PWD> -H "Accept: application/json" -H "Content-Type:application/json" -X POST -d@AS3Listener.json https://<BIG-IP IP>:<PORT>/mgmt/shared/appsvcs/declare | python -m json.tool

Step 3: Sumo Logic Consumer Set up using Telemetry

Download Sumo Logic Consumer sumo.json from here, and replace SUMOLOGIC_HOST.

SUMOLOGIC_SECRET_KEY and SUMOLOGIC_PATH with values from Sumo logic HTTP URL created in step 1.

Example: For the Sumo Logic HTTP URL https://collectors.us2.sumologic.com/receiver/v1/http/Thisis4fakeendpoint4testing==, the above values are as follows:

  • SUMOLOGIC_HOST. collectors.us2.sumologic.com
  • SUMOLOGIC_SECRET_KEY. /receiver/v1/http/
  • SUMOLOGIC_PATH. Thisis4fakeendpoint4testing==

Now, using telemetry, we will define a Sumo Logic sink. This will enable us to forward statistics and events from the BIG-IP to Sumo Logic. Use the following curl cmd and replace BIG-IP PWD, BIG-IP IP, and PORT.

curl -k --user admin:<BIGIP PWD> -H "Accept: application/json" -H "Content-Type:application/json" -X POST -d@sumo.json https://<BIG-IP IP>:<PORT>3/mgmt/shared/telemetry/declare | python -m json.tool

Installing the F5 - BIG-IP LTM app

To install the app, do the following:

  1. From the Sumo Logic navigation, select App Catalog.
  2. In the Search Apps field, search for and then select your app.
    Optionally, you can scroll down to preview the dashboards included with the app.
  3. To install the app, click Install App.
  4. Click Next in the Setup Data section.
  5. In the Configure section of the respective app, complete the following fields.
    1. Key. Select either of these options for the data source.
      • Choose Source Category, and select a source category from the list for Default Value.
      • Choose Custom, and enter a custom metadata field. Insert its value in Default Value.
  6. Click Next. You will be redirected to the Preview & Done section.

Your app will be installed in the Installed Apps folder and dashboard panels will start to fill automatically.

Each panel slowly fills with data matching the time range query and received since the panel was created. Results will not immediately be available, updating with full graphs and charts over time.

Viewing F5 - BIG-IP LTM 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.
  • You can use template variables to drill down and examine the data on a granular level. For more information, see Filter with template variables.
  • Most Next-Gen apps allow you to provide the scope at the installation time and are comprised of a key (_sourceCategory by default) and a default value for this key. Based on your input, the app dashboards will be parameterized with a dashboard variable, allowing you to change the dataset queried by all panels. This eliminates the need to create multiple copies of the same dashboard with different queries.

Overview

The F5 - BIG-IP LTM - Overview dashboard provides details on the network traffic for applications, pools, and its status. It also provides information about violations triggered and their geo-location.

Use this dashboard to:

  • View geographic locations of incoming client requests.
  • Get a high-level view of top pools, pool status, and pool names by the application.
  • Review applications responsible for network traffic, their facilities, as well as profiles per virtual server by the application.
F5 dashboards

Threat Analysis

the F5 - BIG-IP LTM - Threat Analysis dashboard provides an overview of the number of threats, their geographic location, and a breakdown by source using the Threat Intel app. This dashboard also provides details on the severity of threats, as well as the network, user name, and country of origin.

Use this dashboard to:

  • Review details on potential threats and IOCs for incoming requests to F5 LTM.
  • See the frequency of IP threats by actor, log source, and malicious confidence.
  • View trends over time.
F5 dashboards

Metrics and Connections

The F5 - BIG-IP LTM - Metrics and Connections dashboard provides an at-a-glance view of TCP connections, network traffic by host, and Traffic Manager resource usage.

Use this dashboard to:

  • Review details of incoming TCP connection requests.
  • Get a high-level analysis of network traffic.
  • Get an overview of CPU and memory usage.
  • Drill down for a view granular metrics by host using the Host filter.
F5 dashboards

Outlier Analysis

The F5 - BIG-IP LTM - Outlier Analysis dashboard provides an at-a-glance view of TCP connection and login request outliers, along with network traffic and Traffic Manager resource usage.

Use this dashboard to find any outliers in your incoming traffic, CPU, and memory usage.

F5 dashboards

User Session Events

The F5 - BIG-IP LTM - User Session Events dashboard provides an at-a-glance view of user activity and their geographic location. This dashboard also provides information on login trends, operating systems used, user session IDs, and users by their application profile.

Use this dashboard to:

  • View the geographic location of active users.
  • Review information on browsers and platforms used, and network traffic details.
  • Review user requests and application access by users.
F5 dashboards
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