IBM MQ

Monitor IBM MQ queue managers — queue depth, channel status, message rates, and broker health — using the IBM MQ Prometheus exporter.

Pattern: mq-metric-samples → Prometheus scrape → xScaler remote_write

---

Prerequisites

• IBM MQ 9.x+
• MQ administrator credentials
• xScaler tenant credentials (token + tenant ID)

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Option A — Prometheus Exporter

docker run -d \
  -p 9157:9157 \
  -e MQ_QMGR_NAME=QM1 \
  -e MQ_USERID=admin \
  -e MQ_PASSWORD=pass \
  ibmcom/mq-metric-samples

Add to prometheus.yml:

scrape_configs:
  - job_name: ibm_mq
    static_configs:
      - targets: ['localhost:9157']

remote_write:
  - url: https://euw1-01.m.xscalerlabs.com/api/v1/push
    authorization:
      credentials: <token>
    headers:
      X-Scope-OrgID: <tenant-id>

---

Option B — Grafana Alloy

prometheus.scrape "ibm_mq" {
  targets    = [{"__address__" = "localhost:9157"}]
  forward_to = [prometheus.remote_write.xscaler.receiver]
  scrape_interval = "30s"
}

prometheus.remote_write "xscaler" {
  endpoint {
    url = "https://euw1-01.m.xscalerlabs.com/api/v1/push"
    authorization {
      type        = "Bearer"
      credentials = "<token>"
    }
    headers = { "X-Scope-OrgID" = "<tenant-id>" }
  }
}

---

Option C — OpenTelemetry Collector

receivers:
  prometheus:
    config:
      scrape_configs:
        - job_name: ibm_mq
          static_configs:
            - targets: ['localhost:9157']
          scrape_interval: 30s

processors:
  batch:
    timeout: 10s

exporters:
  otlphttp/xscaler:
    endpoint: https://euw1-01.m.xscalerlabs.com
    headers:
      Authorization: "Bearer <token>"
      X-Scope-OrgID: "<tenant-id>"
    compression: gzip

service:
  pipelines:
    metrics:
      receivers:  [prometheus]
      processors: [batch]
      exporters:  [otlphttp/xscaler]

---

Logs

Collect IBM MQ error logs and queue manager error logs. Add the following to your Alloy config:

local.file_match "ibm_mq_logs" {
  path_targets = [{
    __address__ = "localhost",
    __path__    = "/var/mqm/errors/*.log",
    instance    = constants.hostname,
    job         = "integrations/ibm_mq",
  }]
}

loki.source.file "ibm_mq_logs" {
  targets    = local.file_match.ibm_mq_logs.targets
  forward_to = [loki.write.xscaler.receiver]
}

loki.write "xscaler" {
  endpoint {
    url = "https://euw1-01.l.xscalerlabs.com/api/v1/logs/push"

    http_client_config {
      authorization {
        type        = "Bearer"
        credentials = env("XSCALER_TOKEN")
      }
    }

    headers = { "X-Scope-OrgID" = env("XSCALER_TENANT_ID") }
  }
}

Key metrics

Metric	Description
ibmmq_qmgr_status	Queue manager status (1 = running)
ibmmq_queue_depth	Current depth of a queue
ibmmq_channel_status	Channel status (running/stopped)
ibmmq_queue_input_count	Messages put to queue
ibmmq_queue_output_count	Messages got from queue
ibmmq_qmgr_cpu_load	Queue manager CPU utilisation
ibmmq_qmgr_ram_total_bytes	Queue manager RAM usage