Managing Elastic Apm

Elastic APM Monitoring Skill

Query, analyze, and manage Elastic APM data using the Elasticsearch and Kibana APIs.

API Overview

Elastic APM data is stored in Elasticsearch and queried via https://<ES_HOST>:9200 or Kibana APM API at https://<KIBANA_HOST>/api/apm.

Core Helper Function

#!/bin/bash

es_api() {
    local method="$1"
    local endpoint="$2"
    local data="${3:-}"
    if [ -n "$data" ]; then
        curl -s -X "$method" "${ELASTICSEARCH_URL}/${endpoint}" \
            -H "Authorization: ApiKey $ELASTIC_API_KEY" \
            -H "Content-Type: application/json" \
            -d "$data"
    else
        curl -s -X "$method" "${ELASTICSEARCH_URL}/${endpoint}" \
            -H "Authorization: ApiKey $ELASTIC_API_KEY"
    fi
}

kibana_apm() {
    local endpoint="$1"
    curl -s "${KIBANA_URL}/api/apm/${endpoint}" \
        -H "Authorization: ApiKey $ELASTIC_API_KEY" \
        -H "kbn-xsrf: true"
}

MANDATORY: Discovery-First Pattern

Always discover services, environments, and APM indices before querying.

Phase 1: Discovery

#!/bin/bash

echo "=== APM Services ==="
kibana_apm "services?start=$(date -d '1 hour ago' -Iseconds)&end=$(date -Iseconds)" \
    | jq -r '.items[] | "\(.serviceName)\t\(.agentName)\t\(.environment // "unknown")"' | head -20

echo ""
echo "=== APM Indices ==="
es_api GET "_cat/indices/apm-*?h=index,docs.count,store.size&s=index" | head -15

echo ""
echo "=== Environments ==="
kibana_apm "environments?start=$(date -d '1 hour ago' -Iseconds)&end=$(date -Iseconds)" \
    | jq -r '.environments[]' | head -10

echo ""
echo "=== Agent Configurations ==="
kibana_apm "settings/agent-configuration" \
    | jq -r '.configurations[] | "\(.service.name)\t\(.service.environment // "all")\t\(.settings | keys | join(","))"' | head -10

Phase 2: Analysis

#!/bin/bash
SERVICE="${1:-}"
RANGE_START=$(date -d '1 hour ago' -Iseconds)
RANGE_END=$(date -Iseconds)

echo "=== Transaction Performance ==="
kibana_apm "services/${SERVICE}/transactions/groups/main_statistics?start=${RANGE_START}&end=${RANGE_END}&transactionType=request&latencyAggregationType=p95" \
    | jq -r '.transactionGroups[] | "\(.name[0:50])\tp95:\(.latency / 1000 | . * 10 | round / 10)ms\tthroughput:\(.throughput | . * 10 | round / 10)/min\terror:\(.errorRate * 100 | . * 10 | round / 10)%"' | head -15

echo ""
echo "=== Error Groups ==="
kibana_apm "services/${SERVICE}/errors/groups/main_statistics?start=${RANGE_START}&end=${RANGE_END}" \
    | jq -r '.errorGroups[] | "\(.name[0:50])\toccurrences:\(.occurrences)\tlast:\(.lastSeen[0:19])"' | sort -t$'\t' -k2 -rn | head -15

echo ""
echo "=== Service Dependencies ==="
kibana_apm "services/${SERVICE}/dependencies?start=${RANGE_START}&end=${RANGE_END}" \
    | jq -r '.serviceDependencies[] | "\(.name)\tlatency:\(.latency.value / 1000 | . * 10 | round / 10)ms\tthroughput:\(.throughput.value | . * 10 | round / 10)/min"' | head -10

echo ""
echo "=== Infrastructure Metrics ==="
kibana_apm "services/${SERVICE}/infrastructure?start=${RANGE_START}&end=${RANGE_END}" \
    | jq -r '.currentPeriod[] | "\(.name)\tcpu:\(.cpu // "N/A")\tmem:\(.memory // "N/A")"' | head -10

Output Rules

• TOKEN EFFICIENCY: Target ≤50 lines — use time range parameters and Kibana APM aggregation endpoints
• Latency values are in microseconds from Kibana APM API — divide by 1000 for ms
• Use transactionType filter (request, page-load, etc.) to narrow results
• Prefer Kibana APM endpoints over raw Elasticsearch queries for pre-aggregated data

Output Format

Present results as a structured report:

Managing Elastic Apm Report
═══════════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations