* refactor(metrics): prefix node metrics with logos_delivery_
Every metric the node exports now starts with logos_delivery_. There was no
prefix mechanism before: nim-metrics derives the exported name from the Nim
identifier, no declaration passed an explicit `name = "..."`, and the waku_
convention was maintained by hand -- 69 of the 80 node metrics followed it and
11 did not (query_count, query_time_secs, event_loop_load,
event_loop_accumulated_lag_secs, postgres_payload_size_bytes, reconciliation_*,
total_* and the camelCase rendezvousPeerFoundTotal).
Identifiers are renamed rather than given a `name = "..."` argument, keeping the
invariant that the Nim identifier is the exported name and letting the compiler
check every call site.
rendezvousPeerFoundTotal becomes logos_delivery_rendezvous_peer_found: it was the
only camelCase metric, and the trailing Total was redundant since nim-metrics
already appends _total to counters at exposition time.
library/ is untouched on purpose -- `proc waku_version()` in
kernel_api/debug_node_api.nim is the exported libwaku C ABI symbol, not the gauge
of the same name in node_telemetry.nim.
BREAKING CHANGE: metric names change. Dashboards, alert rules and recording rules
that reference waku_* must be updated; see docs/operators/how-to/monitor.md.
* refactor(metrics): prefix auxiliary app metrics with logos_delivery_
Applies the same prefix to the tools shipped from this repo: liteprotocoltester
(lpt_*), networkmonitor (networkmonitor_*), chat2bridge (chat2_*) and the
lightpush_mix example (lp_mix_*).
These tools are not the delivery node and already had their own consistent
prefixes, so this commit is separable from the node rename if the intent was to
namespace only the node itself.
* chore(metrics): query old and new metric names in Grafana dashboards
212 expressions across 9 dashboards now match both the waku_* and the
logos_delivery_* spelling, so panels keep working across the upgrade and over
historical data:
sum by (type)((increase(waku_node_errors_total{...}[$__rate_interval])
or increase(logos_delivery_node_errors_total{...}[$__rate_interval])))
The `or` is placed around the leaf, inside every aggregation. That depth is
load-bearing: `or` keeps its right operand only for label sets absent from the
left, so `sum by (type)(old) or sum by (type)(new)` aggregates each half of the
fleet separately and then discards the right one entirely -- silently dropping
every already-upgraded node. 36 panels here collapse `instance`.
Measured against a local Prometheus scraping two targets, one exporting old names
at 10/s and one exporting new names at 20/s (truth 30/s): union outside the
aggregation gives 10, union around the leaf gives 30.
Where the leaf sits in a range vector the whole call is duplicated, since
`(a or b)[5m]` is not valid PromQL.
Once every scraped node runs a release with the new names and the old samples
have aged out of retention, the `or` half can be deleted.
* test(e2e): expect logos_delivery_-prefixed metric names
The e2e suite asserts against a live /metrics endpoint, which serves only the new
names, so these are replaced rather than unioned. libp2p_* entries are unchanged.
* docs(operators): document the logos_delivery_ metric prefix
Records that every metric the node exports is prefixed, that dependency metrics
(libp2p_*, nim_gc_*, process_*) keep their own names, and shows where the `or`
has to sit if operators maintain their own dashboards or alert rules.
* refactor(metrics): name the store fleet metrics after store, not relay
logos_delivery_relay_fleet_store_msg_size_bytes and _msg_count are declared in
waku_store/protocol_metrics.nim and recorded by the store client, but carried a
relay prefix. Renamed to logos_delivery_store_fleet_msg_size_bytes and
logos_delivery_store_fleet_msg_count.
The dashboard keeps matching the old exported name, which was
waku_relay_fleet_store_*.
Note that both metrics are wrong independently of their name, see the PR
description.
Sonda
Sonda is a tool to monitor store nodes and measure their performance.
It works by running a nwaku node, publishing a message from it every fixed interval and performing a store query to all the store nodes we want to monitor to check they respond with the last message we published.
Instructions
-
Create an
.envfile which will contain the configuration parameters. You can start by copying.env.exampleand adapting it for your use casecp .env.example .env ${EDITOR} .envThe variables that have to be filled for Sonda are
CLUSTER_ID= SHARD= # Comma separated list of store nodes to poll STORE_NODES= # Wait time in seconds between two consecutive queries QUERY_DELAY= # Consecutive successful store requests to consider a store node healthy HEALTH_THRESHOLD= -
If you want to query nodes in
cluster-id1, then you have to follow the steps of registering an RLN membership. Otherwise, you can skip this step.For it, you need:
- Ethereum Linea Sepolia WebSocket endpoint. Get one free from Infura.
- Ethereum Linea Sepolia account with minimum 0.01ETH. Get some here.
- A password to protect your rln membership.
Fill the
RLN_RELAY_ETH_CLIENT_ADDRESS,ETH_TESTNET_KEYandRLN_RELAY_CRED_PASSWORDenv variables and run./register_rln.sh -
Start Sonda by running
docker-compose up -d -
Browse to http://localhost:3000/dashboards and monitor the performance
There's two Grafana dashboards:
nwaku-monitoringto track the stats of your node that is publishing messages and performing queries, andsonda-monitoringto monitor the responses of the store nodes.