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Version: 10.1

Alert Configs: Concepts and Examples

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This page provides an overview of alert configuration concepts, types, and practical examples, inspired by best practices from the Alerts and Automation resource.

Quick Start​

To add a new alert:

  1. Choose an alert type below.
  2. Copy the example config from the "Hash for Import" tab.
  3. Import it into your system and adjust parameters as needed.

Overview​

The Alert & Automation System enables rapid detection of anomalies and automated responses by alerting administrators or triggering RESTful actions. It is designed for real-time operation, using streaming algorithms to minimize delay and maximize responsiveness.

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See the Events Reference for a full list and details of supported event types and their attributes.

Key Features:

  • 🚀 Real-time anomaly detection
  • 🔗 RESTful plugin integration for notifications and automation
  • ⚙️ Flexible configuration using JSON
  • 🌐 Supports a wide range of alert types and use cases

How It Works​

  1. Ingestion: The system ingests incoming JSON events from various data sources (e.g., network equipment, SBCs).
  2. Stream Mapping: Events are mapped into streams using selected keys (such as user, trunk, or IP).
  3. Alert Evaluation: Each stream is checked against alerting criteria. If a threshold is exceeded, an alert is triggered.
  4. Notification/Automation: Alerts are pushed via RESTful plugins or other integrations.

Alert Types​

Alert types can be grouped into two classes:

  • Predefined: Easy to set up, with a few parameters.
  • Custom: More flexible, with additional parameters like custom keys and filtering expressions.
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Predefined alerts are great for quick setups. Use Custom alerts for advanced scenarios and fine-tuned monitoring.

Common Alert Types & Use Cases​

  • Parallel Calls (PC): Detects too many simultaneous calls on a trunk.
  • Low QoS (stringmatch): Monitors for calls with low MOS scores[1].
  • Failing Destination Trunk (ratio): Detects trunks with a high percentage of failed calls.
  • Long Calls (stringmatch): Alerts on calls exceeding a duration threshold.
  • Unstable Registrar (sudden change): Detects rapid changes in registration counts.
  • Telemarketer (ratio): Finds users with a high ratio of short-duration calls.
  • Region Skipper (memory): Alerts on users accessing from many geographic regions.
  • IP Failing to Authenticate (rate): Detects repeated authentication failures from an IP.
  • New User-Agent (memory): Alerts on new user-agent strings.
  • DDoS Detection (ratio): Detects distributed attacks based on failed call patterns.

Alert Example Library​

Below are common alert configuration examples. Each example includes a description and a ready-to-import config hash.

Parallel Calls on a Trunk​

This alert is based on “parallel calls” session tracking which keeps track for trunk’s both incoming and outgoing calls (key attrs.dst_ca_name|attrs.src_ca_name) and raises an alert if number of sessions exceeds a threshold for the respective trunk.

Low QoS​

The alert type is “string-match” and it looks for call-end event types that show either’s direction average MOS dropped below 3.0. Example expression: attrs.rtp-MOScqex-avg-a>3.0 & attrs.rtp-MOScqex-avg-b>3.0.

Failing Destination Trunk​

Ratio alerts detect if a subset of events exceeds a percentage and is often used to detect situations when percentage of failure is beyond acceptable. Here we observe share of "call-attempt" events with specific SIP code (e.g. attrs.sip-code~'404|408|500|503') in the mix of all failed call attempts and call starts. The percentage is determined and alert raised individually for every Call-Agent (trunk) as the alert key is attrs.dst_ca_name.

Long Calls​

Long calls may be easily detected by checking the attribute attrs.duration in call-end events. Use alert type string-match and a matching expression like attrs.type='call-end' & attrs.duration>3600 to alert on calls over one hour in length.

Unstable Registrar​

A rapid decrease or increase in registrations typically indicates a connectivity issue with a registrar or a registration "avalanche". The sudden-change alert type observes occurrence for some events (e.g. attrs.type='reg-expired'). An alert is raised if a short-term occurrence departs from smoothened mid-term occurrence more than by a threshold. The alert key is tenant id (tls-cn).

Telemarketer​

A telemarketer is detected by an abnormally high ratio of calls that are declined or terminated within the first few seconds of a call (attrs.duration<5). The alert relates to users and thus the key is set to attrs.from. The detection is implemented using the ratio alert type by alerting on a high percentage of such short-duration calls.

Region Skipper​

Abnormally many regions from which a user accesses a service may be a sign of a frequent traveller, or worse, a remote attacker. The memory alert type observes users keyed by attrs.from and associates their geographic regions with them as in geoip.region_code. An alert is raised if too many new regions are discovered.

IP Failing to Authenticate​

Too frequent failures to authenticate from an IP address may be caused by an innocently forgotten password, but at a higher rate they may indicate an attempt to guess a password. This rate alert looks at failing authentications (attrs.type='auth-failed') and relates to originating IP addresses (attrs.source). The alert is raised when 5 failures occur within 5 minutes.

New User-Agent​

It may be useful to alert on traffic from a new User-Agent. This may indicate an attack, a firmware update, or a new type of device. The memory alert type observes UAs keyed by attrs.from-ua and associates the UA name. An alert is raised on the very first occurrence of a user-agent.

DDoS Detection​

If a traffic probe supports detection of attacker signature, a high presence of failed calls coming from SIP user-agent with a specific signature indicates a distributed attack. The ratio alert type can be used to detect this pattern.

More Information​

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For best results, tailor alert keys and expressions to your environment and monitoring needs.

Footnotes​

[1] MOS score (Mean Opinion Score) is a standard measure for voice quality in VoIP systems, typically ranging from 1 (bad) to 5 (excellent). A low MOS score indicates poor call quality, often due to network issues such as packet loss, jitter, or latency.