Saltar al contenido
Marketplace

cx-alerts

de coralogix

This skill should be used when the user asks to "manage alerts", "create alert", "list alerts", "delete alert", "check alert status", "enable alert", "disable alert", "investigate firing alerts", "check which alerts are active", "find alerting rules", "set up an alert", "configure alerting", "mute an alert", "silence an alert", "see alert definitions", "check alert priority", or wants to manage Coralogix alert definitions using the cx CLI.

Resumen

SKILL.mdLeída en 233692c

Alert Management Skill

Use this skill to list, inspect, create, delete, enable, and disable Coralogix alert definitions using the cx alerts CLI commands.

CLI Commands

CommandPurposeKey flags
cx alerts listList all alert definitions--name <filter>
cx alerts get <id>Get a single alert definition by ID-
cx alerts createCreate an alert from a JSON definition--from-file <path> (default: stdin)
cx alerts delete <id>Delete an alert-
cx alerts enable <id>Enable an alert-
cx alerts disable <id>Disable an alert-
cx alerts eventsList events; use alert-version scoped endpoint when filtering--alert-version-id, --start, --end
cx alerts event-statsGet alert event statistics-
cx alerts suppression-rules listList suppression rules-
cx alerts suppression-rules get <id>Get a suppression rule-
cx alerts suppression-rules createCreate a suppression rule--from-file <path>
cx alerts suppression-rules updateUpdate a suppression rule--from-file <path>
cx alerts suppression-rules delete <id>Delete a suppression rule-

Output format: append -o json or -o toon to list, get, and create commands for machine-readable output.

Multi-profile: use -p <profile> (repeatable) to target multiple profiles simultaneously.

Alert Types Reference

Coralogix supports 12 alert types:

Type enumHuman nameDescription
ALERT_DEF_TYPE_LOGS_IMMEDIATELogs ImmediateTrigger on every matching log entry
ALERT_DEF_TYPE_LOGS_THRESHOLDLogs ThresholdTrigger when log count exceeds a threshold in a time window
ALERT_DEF_TYPE_LOGS_ANOMALYLogs AnomalyML-based anomaly detection on log volume
ALERT_DEF_TYPE_LOGS_RATIO_THRESHOLDLogs Ratio ThresholdTrigger on ratio between two log queries
ALERT_DEF_TYPE_LOGS_NEW_VALUELogs New ValueTrigger when a new value appears in a field
ALERT_DEF_TYPE_LOGS_UNIQUE_COUNTLogs Unique CountTrigger on unique value count threshold
ALERT_DEF_TYPE_LOGS_TIME_RELATIVE_THRESHOLDLogs Time RelativeCompare current vs past time window
ALERT_DEF_TYPE_METRIC_THRESHOLDMetric ThresholdTrigger when a PromQL expression crosses a threshold
ALERT_DEF_TYPE_METRIC_ANOMALYMetric AnomalyML-based anomaly detection on metrics
ALERT_DEF_TYPE_TRACING_IMMEDIATETracing ImmediateTrigger on every matching span
ALERT_DEF_TYPE_TRACING_THRESHOLDTracing ThresholdTrigger when span count exceeds a threshold
ALERT_DEF_TYPE_FLOWFlowSequence-based alert combining multiple conditions

Priority Levels

Always ask the user what priority to use when creating alerts:

PriorityUse case
P1Critical - pages on-call immediately
P2High - needs attention within the hour
P3Medium - investigate during business hours
P4Low - informational, check when convenient
P5Info - logging/tracking only

Create Workflow

  1. Ask the user what they want to alert on (logs, metrics, traces)
  2. Ask for priority (P1–P5)
  3. Build the JSON payload with alertDefProperties - use the API wire format (see references/alert-schemas.md for all enum values)
  4. Tip: use cx alerts get <existing-id> -o json to get a working template, modify it, and pipe into create
  5. Create using: echo '<json>' | cx alerts create or cx alerts create --from-file alert.json
  6. Verify with cx alerts list --name "<alert name>"

Important structural note: The type field is a string enum (e.g. "ALERT_DEF_TYPE_LOGS_THRESHOLD"), and the alert type config (e.g. "logsThreshold": {...}) is a sibling field at the same level - NOT nested inside type.

Example: Logs Threshold Alert
{
  "alertDefProperties": {
    "name": "High Error Rate",
    "description": "Alert when error logs exceed threshold",
    "priority": "ALERT_DEF_PRIORITY_P2",
    "type": "ALERT_DEF_TYPE_LOGS_THRESHOLD",
    "enabled": true,
    "logsThreshold": {
      "logsFilter": {
        "simpleFilter": {
          "luceneQuery": "severity:ERROR",
          "labelFilters": {
            "applicationName": [
              { "operation": "LOG_FILTER_OPERATION_TYPE_IS_OR_UNSPECIFIED", "value": "my-app" }
            ]
          }
        }
      },
      "rules": [{
        "condition": {
          "conditionType": "LOGS_THRESHOLD_CONDITION_TYPE_MORE_THAN_OR_UNSPECIFIED",
          "threshold": 100,
          "timeWindow": {
            "logsTimeWindowSpecificValue": "LOGS_TIME_WINDOW_VALUE_MINUTES_5_OR_UNSPECIFIED"
          }
        }
      }]
    }
  }
}
Example: Metric Threshold Alert
{
  "alertDefProperties": {
    "name": "CPU Usage Critical",
    "priority": "ALERT_DEF_PRIORITY_P1",
    "type": "ALERT_DEF_TYPE_METRIC_THRESHOLD",
    "enabled": true,
    "metricThreshold": {
      "metricFilter": { "promql": "avg(cpu_usage_percent)" },
      "rules": [{
        "condition": {
          "conditionType": "METRIC_THRESHOLD_CONDITION_TYPE_MORE_THAN_OR_UNSPECIFIED",
          "threshold": 90,
          "ofTheLast": { "dynamicDuration": "5m" },
          "forOverPct": 100
        }
      }]
    }
  }
}
Example: Logs Immediate Alert
{
  "alertDefProperties": {
    "name": "OOM Killer Detected",
    "description": "Alert immediately when OOM killer runs",
    "priority": "ALERT_DEF_PRIORITY_P1",
    "type": "ALERT_DEF_TYPE_LOGS_IMMEDIATE_OR_UNSPECIFIED",
    "enabled": true,
    "logsImmediate": {
      "logsFilter": {
        "simpleFilter": {
          "luceneQuery": "\"Out of memory\" OR \"OOM\"",
          "labelFilters": {}
        }
      }
    }
  }
}

Investigation Workflow

Find firing alerts
# List all alerts and look for ALERTING status
cx alerts list -o json | jq '.[] | select(.status == "ALERTING")'

# Filter by name
cx alerts list --name "error"
Inspect a specific alert
cx alerts get <alert-id>
cx alerts get <alert-id> -o json
Disable a noisy alert (temporary mute)
cx alerts disable <alert-id>
# Later, re-enable:
cx alerts enable <alert-id>

Suppression Rules

Manage alert suppression rules that mute alerts during maintenance windows or known noisy periods.

CommandPurpose
cx alerts suppression-rules listList all suppression rules
cx alerts suppression-rules get <id>Get a suppression rule by ID
cx alerts suppression-rules create --from-fileCreate a suppression rule
cx alerts suppression-rules update --from-fileUpdate a suppression rule
cx alerts suppression-rules delete <id>Delete a suppression rule
# List suppression rules
cx alerts suppression-rules list -o json

# Create from template
cx alerts suppression-rules get <existing-id> -o json > suppression-rule.json
# Edit suppression-rule.json
cx alerts suppression-rules create --from-file suppression-rule.json

Key Principles

  • Always ask for priority (P1–P5) when creating alerts - never assume
  • Use --name filter for large accounts with many alerts
  • Use -o json with jq for filtering and transformation
  • Use --from-file - to pipe JSON from stdin when constructing alerts programmatically
  • Verify after create - always list or get the alert after creation to confirm
  • Disable, don't delete - prefer disabling alerts over deletion for auditability
  • Link to a specific alert - cx alerts list prints only one "View in Coralogix" link, to the alerts overview page, not a per-alert link. To link a user to one specific alert, build <base>/alerts/<alert_id>, where <base> is the console URL already seen in a View in Coralogix: <base>/... line printed by any cx alerts command this session - never fabricate <base> yourself.

Additional Resources

Reference Files
  • references/alert-schemas.md - Complete JSON schema reference for all 12 alert types: field names, enum values (condition types, time windows, filter operations), common sub-objects (logs filter, tracing filter, notification groups, activity schedules), and important gotchas
  • references/dataprime-reference.md - DataPrime query language reference for log-based and span-based alert conditions (filter syntax, operators, severity values)
  • references/logs-querying.md - Log data model, field discovery, and query patterns for building log alert conditions
  • references/promql-guidelines.md - PromQL reference for metric-based alert conditions (counters, gauges, histograms, threshold patterns)
  • references/spans-querying.md - Span data model, duration units, and query patterns for building tracing alert conditions
Related Skills
  • cx-cases - triage the cases that group alert events into investigations
  • cx-slos - the SLO definitions whose error-budget burn raises alerts
  • cx-observability-setup - setting up notification routing and webhook integrations for alerts
  • cx-telemetry-querying - investigate the telemetry behind a firing alert

Archivos 6 archivos

Instálala a mano

Deska ejecuta esto por ti, para cada agente que elijas. Para ejecutarlo tú en una terminal:

npx skills add coralogix/cx-cli --skill cx-alerts

Más de coralogix

  • cx-telemetry-queryingcoralogixUse this skill for any question involving telemetry data: "investigate an issue", "debug a problem", "find out why something is slow", "check error rates", "analyze user behavior", "understand a production incident", "query telemetry data", "look at logs", "search logs", "find errors", "find stack traces", "filter by severity", "check traces", "examine spans", "investigate request latency", "debug service-to-service calls", "look up a trace ID", "analyze RUM data", "query rum.events", "check frontend performance", "frontend errors", "Core Web Vitals", "JavaScript exceptions", "query metrics", "check CPU usage", "run a PromQL query", "check error rate", "look up a metric", "check memory usage", "how do I write a DataPrime query", "DataPrime syntax", or wants to answer questions using observability data from logs, metrics, traces, RUM, or APM.3,700 instalaciones en skills.sh0
  • cx-search-dashboardcoralogixThis skill should be used when the user asks to "find a dashboard", "search dashboards", "does a dashboard exist for X", "find widgets that query Y", "which dashboards use this field", "find a dashboard about errors", "look up dashboards by description", "search for existing monitoring dashboards", "find widgets that reference a field", or wants to discover existing Coralogix dashboards or widgets using natural-language or field-based search.2,900 instalaciones en skills.sh0
  • coralogix-docscoralogixSearch and read official Coralogix platform documentation using **`cx docs search`** and **`cx docs fetch`**. Use when the user asks how Coralogix features work, how to configure or use the UI, set up integrations (OpenTelemetry, agents, collectors, webhooks), manage API keys, explore spans/traces/logs in the product, configure alerts/SLOs/dashboards, or needs authoritative product docs — not live tenant telemetry.2,800 instalaciones en skills.sh0
  • cx-cost-optimizationcoralogixUse this skill when the user asks to "check data usage", "list TCO policies", "reduce Coralogix costs", "optimize observability spend", "lower our logging bill", "data budget exceeded", "TCO policy", "retention tier", "archive storage", "ingestion costs", "frequent search vs archive", "why is our bill so high", "spending too much on logs", "data retention settings", "cost analysis", "usage breakdown", "optimize log volume", "control data ingestion", "archive cold data", "billing units", "plan consumption", "daily plan", "overage", "PAYG", "usage anomaly", "usage trend", "cx_data_usage_units", or wants to investigate, analyze, or reduce Coralogix data costs.2,700 instalaciones en skills.sh0
  • cx-data-pipelinecoralogixUse this skill when the user asks to "set up parsing", "create parsing rule", "extract fields from logs", "regex extraction", "log parsing", "enrich logs", "add context to logs", "custom enrichment table", "lookup table", "geo enrichment", "create metric from logs", "events to metrics", "convert logs to metrics", "generate metrics from events", "recording rule", "precomputed metrics", "PromQL recording", "configure data pipeline", "transform log data", "data processing rules", "rule group", "enrichment settings", "E2M definition", "labels cardinality", "bulk delete rules", "enrichment limits", "search enrichment table", "what should I convert to metrics", "E2M not producing metrics", "E2M no series", "reduce log cost with E2M", "logs to metrics aggregation", "spans to metrics", or wants to configure how Coralogix processes, enriches, or transforms ingested data.2,700 instalaciones en skills.sh0
Todas las skills de coralogix