Couchbase
Monitor Couchbase Server — bucket operations, memory usage, disk I/O, and replication — using couchbase-exporter. Track the performance and capacity of your Couchbase clusters in xScaler.
Pattern: couchbase-exporter → Prometheus scrape → xScaler remote_write
Prerequisites
- Couchbase Server 6.5 or later
- Couchbase admin credentials
- xScaler tenant credentials (token + tenant ID)
Option A — Prometheus Exporter
Run couchbase-exporter as a Docker container pointed at your Couchbase node:
docker run -d \
-p 9420:9420 \
-e CB_HOST=localhost \
-e CB_USER=admin \
-e CB_PWD=password \
blakelead/couchbase-exporter
The exporter listens on port 9420. Configure Prometheus to scrape and remote_write:
scrape_configs:
- job_name: couchbase
static_configs:
- targets: ["localhost:9420"]
remote_write:
- url: https://euw1-01.m.xscalerlabs.com/api/v1/push
authorization:
type: Bearer
credentials: <token>
headers:
X-Scope-OrgID: "<tenant-id>"
Option B — Grafana Alloy
prometheus.scrape "couchbase" {
targets = [{"__address__" = "localhost:9420"}]
forward_to = [prometheus.remote_write.xscaler.receiver]
}
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:
couchbase:
endpoint: http://localhost:8091
username: admin
password: password
collection_interval: 30s
processors:
batch: {}
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: [couchbase]
processors: [batch]
exporters: [otlphttp/xscaler]
Logs
Collect Couchbase server logs including babysitter, error, and info logs. Add the following to your Alloy config:
local.file_match "couchbase_logs" {
path_targets = [{
__address__ = "localhost",
__path__ = "/opt/couchbase/var/lib/couchbase/logs/*.log",
instance = constants.hostname,
job = "integrations/couchbase",
}]
}
loki.source.file "couchbase_logs" {
targets = local.file_match.couchbase_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 |
|---|---|
couchbase_bucket_op_get_total | Total get (read) operations on each bucket |
couchbase_bucket_op_set_total | Total set (write) operations on each bucket |
couchbase_bucket_mem_used_bytes | Memory currently used by each bucket |
couchbase_bucket_disk_write_queue | Number of items waiting to be persisted to disk |
couchbase_node_cpu_utilization_rate | CPU utilisation percentage per Couchbase node |
couchbase_cluster_ram_used_bytes | Total RAM used across the entire cluster |