- 09-data-collection-reference: add $service_name, $deployment_environment,
$xrpl_network_type to the template-variable table; note they appear on all
dashboards and point to the runbook's Deployment Tiers section.
- TESTING.md: add a Prometheus check verifying the tier labels
(deployment_environment, xrpl_network_type, service_name) are present on
metric series.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a Deployment Tiers section covering the four filtering dimensions
(node, service, network, environment), who owns each attribute, the
collector's upsert-vs-insert rule, per-tier collector values, and how the
tier labels reach metrics. This is the operator-facing home for the
deployment-tier feature.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
- 05-configuration-reference: service_name now applies to metrics as well
as traces (service.name resource attribute).
- 07-observability-backends: document that collector enrichment includes
deployment-tier tagging (deployment.environment + fallback
xrpl.network.type) for filtering one Grafana stack by tier.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Apply the deployment-tier tagging to the Grafana Cloud dual-export config
so cloud data is filterable by tier just like the local stack:
- add the resource/tier processor (deployment.environment upsert,
xrpl.network.type insert) and run it on all three pipelines.
- enable resource_to_telemetry_conversion on the prometheus exporter and
add the tier keys to spanmetrics for the local scrape surface.
Add docker/telemetry/DEPLOYMENT_TIERS.md documenting the four filtering
dimensions, the upsert-vs-insert ownership rule, per-tier collector
values, and how the labels reach each signal.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add $service_name, $deployment_environment, $xrpl_network_type template
variables to the metric-gap-fill dashboards and wire them into every
panel query that filters by $node, so these dashboards can be sliced by
tier like the rest of the set.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add resource/tier to the logs pipeline so log records carry the same
deployment.environment and xrpl.network.type attributes as traces and
metrics. This lets a single Grafana stack filter logs by tier alongside
the other signals. resource/logs still runs first to set service.name
and the job label; resource/tier then adds the tier attributes.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
The native OTel metrics path hard-coded service.name="xrpld" and stamped
no network attribute, while traces stamped a configurable service.name
and xrpl.network.type. Metrics therefore could not be filtered by service
or network. Align the two paths:
- OTelCollector::New / OTelCollectorImp gain serviceName + networkType
params. service.name uses the configured value (default "xrpld" when
unset, preserving today's behavior); xrpl.network.type is stamped when
provided. The key is a string literal because beast/insight sits below
the telemetry module and cannot include its SpanNames const.
- CollectorManager reads service_name from [insight], falling back to the
[telemetry] value, and receives the network type from the caller.
- Application derives the network type once via the shared
telemetry::networkTypeFromId, now declared in Telemetry.h and moved out
of an anonymous namespace so the trace and metric paths reuse a single
0/1/2 -> mainnet/testnet/devnet mapping (no duplication).
Dashboards (5 system-* files): add $service_name, $deployment_environment,
$xrpl_network_type template variables and wire them into every panel query
that filters by $node.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Extend the deployment-tier tagging to the metrics path and expose it in
the dashboards so a single Grafana stack can be sliced by environment,
network, and service:
Collector (otel-collector-config.yaml):
- prometheus exporter: enable resource_to_telemetry_conversion so
resource attributes (deployment.environment, xrpl.network.type,
service.name, service.instance.id) become Prometheus labels.
- metrics pipeline: run resource/tier so statsd metrics are tagged too.
- spanmetrics: add the tier keys to the resource-metrics grouping key
so per-tier series stay grouped separately.
Dashboards (5 files):
- add $service_name, $deployment_environment, $xrpl_network_type
template variables, named to match their Prometheus labels.
- inject the matching label filters into every panel query that
already filters by $node.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Add a resource/tier processor so each collector stamps the deployment
tier onto the signals it forwards, enabling a single Grafana stack to
hold data from many collectors and filter by tier:
- deployment.environment (upsert): the collector is authoritative for
its environment (local/ci/test/prod).
- xrpl.network.type (insert): the xrpld node already stamps its own
chain, so the collector only fills this when absent, never
overwriting a node's real network.
Wired into the traces pipeline (the only pipeline on this branch);
later phases extend it to metrics and logs as those pipelines appear.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
Apply the same width rule from the earlier transaction-overview fix to the
job-queue, rpc-perf-otel, and rpc-performance dashboards. Timeseries panels
whose legend is a right-side table need the horizontal room, so they go to
full width (w=24); each stacks onto its own row and panels below shift down.
Pie charts, heatmaps, and bottom-legend panels stay half width.
Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
