eth2353/ethereum-validators-monitoring

Ethereum validators monitoring bot aimed to keep track of the validators performance

🐢 ethereum-validators-monitoring (aka balval)

Consensus layer validators monitoring bot, that fetches Lido or Custom Users Node Operators keys from Execution layer and checks their performance in Consensus layer by: balance delta, attestations, proposes, sync committee participation.

Bot has two separate working modes: finalized and head for fetching validator info, writes data to Clickhouse, displays aggregates by Grafana dashboard, alerts about bad performance by Prometheus + Alertmanger and routes notifications to Discord channel via alertmanager-discord.

Working modes

You can switch working mode by providing WORKING_MODE environment variable with one of the following values:

finalized

Default working mode. The service will fetch validators info from finalized states (the latest finalized epoch is 2 epochs back from head). It is more stable and reliable because all data is already finalized.

Pros:

• No errors due to reorgs
• Less rewards calculation errors
• Accurate data in alerts and dashboard

Cons:

• 2 epochs delay in processing and critical alerts will be given with 2 epochs delay
• In case of long finality the app will not monitor and will wait for the finality

head

Alternative working mode. The service will fetch validators info from non-finalized states. It is less stable and reliable because of data is not finalized yet. There can be some calculation errors because of reorgs.

Pros:

• Less delay in processing and critical alerts will be given with less delay
• In case of long finality the app will monitor and will not wait for the finality

Cons:

• Errors due to reorgs
• More rewards calculation errors
• Possible inaccurate data in alerts and dashboard

Dashboards

There are three dashboards in Grafana:

• Validators - shows aggregated data about performance for all monitored validators
• NodeOperator - shows aggregated data about performance for each monitored node operator
• Rewards & Penalties - shows aggregated data about rewards, penalties, and missed rewards for each monitored node operator

Alerts

There are several default alerts which are triggered by Prometheus rules:

• General:
  • 🔪 Slashed validators
  • 💸 Operators with negative balance delta
• Proposals:
  • 📥 Operators with missed block propose
  • 📈📥 Operators with missed block propose (on possible high reward validators)
• Sync:
  • 🔄 Operators with bad sync participation
  • 📈🔄 Operators with bad sync participation (on possible high reward validators)
• Attestations:
  • 📝❌ Operators with missed attestation
  • 📝🐢 Operators with high inc. delay attestation
  • 📝🏷️ Operators with two invalid attestation property (head/target/source)
  • 📈📝❌ Operators with missed attestation (on possible high reward validators)

First run

You have two options to run this application: docker-compose or node and two sources of validator list: lido (by default) or file (see here).

Because Lido contract on mainnet contains a lot of validators, fetching and saving them to local storage can take time (depends on your EL RPC host) and a lot of RAM. For avoiding heap out of memory error, you can pass NODE_OPTIONS env var with --max-old-space-size=8192 value and when the application completes its first cycle, you can restart your instance without this env variable.

Run via docker-compose

1. Use .env.example file content to create your own .env file
2. Build app image via docker-compose build app
3. Set owner for validators registry sources

chown -R 1000:1000 ./docker/validators

4. Create .volumes directory from docker directory:

cp -r docker .volumes
chown -R 65534:65534 .volumes/prometheus
chown -R 65534:65534 .volumes/alertmanager
chown -R 472:472 .volumes/grafana

5. Run docker-compose up -d
6. Open Grafana UI at http://localhost:8082/ (login: admin, password: MYPASSWORT) and wait first app cycle execution for display data

Run via node

1. Install dependencies via yarn install
2. Run yarn build
3. Tweak .env file from .env.example
4. Run Clickhouse to use as bot DB

docker-compose up -d clickhouse

5. Change DB_HOST value to http://localhost
6. Set owner for validators registry sources

chown -R 1000:1000 ./docker/validators

7. Run yarn start:prod

Use custom validators list

By default, monitoring bot fetches validator keys from Lido contract, but you can monitor your own validators:

1. Set VALIDATOR_REGISTRY_SOURCE env var to file
2. Create file with keys by example here
3. Set VALIDATOR_REGISTRY_FILE_SOURCE_PATH env var to <path to your file>

If you want to implement your own source, it must match RegistrySource interface and be included in RegistryModule providers

Clickhouse data retention

By default, storage keep the data with Inf. time to live. It can be changed by the TTL policy for Clickhouse:

# goerli
ALTER TABLE validators_summary MODIFY TTL toDateTime(1616508000 + (epoch * 32 * 12)) + INTERVAL 3 MONTH;

# mainnet
ALTER TABLE validators_summary MODIFY TTL toDateTime(1606824023 + (epoch * 32 * 12)) + INTERVAL 3 MONTH;

Application Env variables

---

LOG_LEVEL - Application log level

• Required: false
• Default: info

---

LOG_FORMAT - Application log format (simple or json)

• Required: false
• Default: json

---

WORKING_MODE - Application working mode (finalized or head)

• Required: false
• Default: finalized

---

DB_HOST - Clickhouse server host

• Required: true

---

DB_USER - Clickhouse server user

• Required: true

---

DB_PASSWORD - Clickhouse server password

• Required: true

---

DB_NAME - Clickhouse server DB name

• Required: true

---

DB_PORT - Clickhouse server port

• Required: false
• Default: 8123

---

HTTP_PORT - Port for Prometheus HTTP server in application on the container (Note: if you change this, also update it in prometheus.yml)

• Required: false
• Default: 8080

---

EXTERNAL_HTTP_PORT - Port for Prometheus HTTP server in application that is exposed to the host

• Required: false
• Default: HTTP_PORT

---

DB_MAX_RETRIES - Max retries for each query to DB

• Required: false
• Default: 10

---

DB_MIN_BACKOFF_SEC - Min backoff for DB query retrier

• Required: false
• Default: 1

---

DB_MAX_BACKOFF_SEC - Min backoff for DB query retrier

• Required: false
• Default: 120

---

DRY_RUN - Run application in dry mode. This means that it runs a main cycle once every 24 hours

• Required: false
• Default: false

---

ETH_NETWORK - Ethereum network ID for connection execution layer RPC

• Required: true

---

EL_RPC_URLS - Ethereum execution layer comma separated RPC urls

• Required: true

---

CL_API_URLS - Ethereum consensus layer comma separated API urls

• Required: true

---

CL_API_RETRY_DELAY_MS - Ethereum consensus layer request retry delay

• Required: false
• Default: 500

---

CL_API_GET_RESPONSE_TIMEOUT - Ethereum consensus layer GET response (header) timeout (ms)

• Required: false
• Default: 15000

---

CL_API_MAX_RETRIES - Ethereum consensus layer max retries for all requests

• Required: false
• Default: 1 (means that request will be executed once)

---

CL_API_GET_BLOCK_INFO_MAX_RETRIES - Ethereum consensus layer max retries for fetching block info. Independent of CL_API_MAX_RETRIES

• Required: false
• Default: 1 (means that request will be executed once)

---

FETCH_INTERVAL_SLOTS - Count of slots in Ethereum consensus layer epoch

• Required: false
• Default: 32

---

CHAIN_SLOT_TIME_SECONDS - Ethereum consensus layer time slot size (sec)

• Required: false
• Default: 12

---

START_EPOCH - Ethereum consensus layer epoch for start application

• Required: false
• Default: 155000

---

VALIDATOR_REGISTRY_SOURCE - Validators registry source. Possible values: lido (Lido NodeOperatorsRegistry module keys), keysapi (Lido keys from multiple modules), file

• Required: false
• Default: lido

---

VALIDATOR_REGISTRY_FILE_SOURCE_PATH - Validators registry file source path. It makes sense to change default value if you set VALIDATOR_REGISTRY_SOURCE to file

• Required: false
• Default: ./docker/validators/custom_mainnet.yaml

---

VALIDATOR_REGISTRY_LIDO_SOURCE_SQLITE_CACHE_PATH - Validators registry lido source sqlite cache path. It makes sense to change default value if you set VALIDATOR_REGISTRY_SOURCE to lido

• Required: false
• Default: ./docker/validators/lido_mainnet.db

---

VALIDATOR_USE_STUCK_KEYS_FILE - Use a file with list of validators that are stuck and should be excluded from the monitoring metrics

• Required: false
• Default: false

---

VALIDATOR_STUCK_KEYS_FILE_PATH - Path to file with list of validators that are stuck and should be excluded from the monitoring metrics

• Required: false
• Default: ./docker/validators/stuck_keys.yaml
• Note: will be used only if VALIDATOR_USE_STUCK_KEYS_FILE is true

---

SYNC_PARTICIPATION_DISTANCE_DOWN_FROM_CHAIN_AVG - Distance (down) from Blockchain Sync Participation average after which we think that our sync participation is bad

• Required: false
• Default: 0

---

SYNC_PARTICIPATION_EPOCHS_LESS_THAN_CHAIN_AVG - Number epochs after which we think that our sync participation is bad and alert about that

• Required: false
• Default: 3

---

BAD_ATTESTATION_EPOCHS - Number epochs after which we think that our attestation is bad and alert about that

• Required: false
• Default: 3

---

CRITICAL_ALERTS_ALERTMANAGER_URL - If passed, application sends additional critical alerts about validators performance to Alertmanager

• Required: false

---

CRITICAL_ALERTS_MIN_VAL_COUNT - Critical alerts will be sent for Node Operators with validators count greater this value

• Required: false

---

CRITICAL_ALERTS_ALERTMANAGER_LABELS - Additional labels for critical alerts. Must be in JSON string format. Example - '{"a":"valueA","b":"valueB"}'

• Required: false

---

Application critical alerts (via Alertmanager)

In addition to alerts based on Prometheus metrics you can receive special critical alerts based on beaconchain aggregates from app.

You should pass env var CRITICAL_ALERTS_ALERTMANAGER_URL=http://<alertmanager_host>:<alertmanager_port>.

And if ethereum_validators_monitoring_data_actuality < 1h it allows you to receive alerts from table bellow

Alert name	Description	If fired repeat	If value increased repeat
CriticalSlashing	At least one validator was slashed	instant	-
CriticalMissedProposes	More than 1/3 blocks from Node Operator duties was missed in the last 12 hours	every 6h	-
CriticalNegativeDelta	More than 1/3 Node Operator validators with negative balance delta (between current and 6 epochs ago)	every 6h	every 1h
CriticalMissedAttestations	More than 1/3 Node Operator validators with missed attestations in the last {{ BAD_ATTESTATION_EPOCHS }} epochs	every 6h	every 1h

Application metrics

WARNING: all metrics are prefixed with ethereum_validators_monitoring_

Metric	Labels	Description
validators	owner, status	Count of validators in chain
user_validators	nos_name, status	Count of validators for each user Node Operator
data_actuality		Application data actuality in ms
fetch_interval		The same as FETCH_INTERVAL_SLOTS
sync_participation_distance_down_from_chain_avg		The same as SYNC_PARTICIPATION_DISTANCE_DOWN_FROM_CHAIN_AVG
epoch_number		Current epoch number in app work process
contract_keys_total		Total user validators keys
steth_buffered_ether_total		Buffered Ether (ETH) in Lido contract
total_balance_24h_difference		Total user validators balance difference (24 hours)
validator_balances_delta	nos_name	Validators balance delta for each user Node Operator
validator_quantile_001_balances_delta	nos_name	Validators 0.1% quantile balances delta for each user Node Operator
validator_count_with_negative_balances_delta	nos_name	Number of validators with negative balances delta for each user Node Operator
validator_count_with_sync_participation_less_avg	nos_name	Number of validators with sync committee participation less avg for each user Node Operator
validator_count_miss_attestation	nos_name	Number of validators miss attestation for each user Node Operator
validator_count_invalid_attestation	nos_name, reason	Number of validators with invalid properties (head, target, source) \ high inc. delay in attestation for each user Node Operator
validator_count_invalid_attestation_last_n_epoch	nos_name, reason, epoch_interval	Number of validators with invalid properties (head, target, source) \ high inc. delay in attestation last BAD_ATTESTATION_EPOCHS epoch for each user Node Operator
validator_count_miss_attestation_last_n_epoch	nos_name, epoch_interval	Number of validators miss attestation last BAD_ATTESTATION_EPOCHS epoch for each user Node Operator
validator_count_high_inc_delay_last_n_epoch	nos_name, epoch_interval	Number of validators with inc. delay > 2 last N epochs for each user Node Operator
validator_count_invalid_attestation_property_last_n_epoch	nos_name, epoch_interval	Number of validators with two invalid attestation property (head or target or source) last N epochs for each user Node Operator
high_reward_validator_count_miss_attestation_last_n_epoch	nos_name, epoch_interval	Number of validators miss attestation last BAD_ATTESTATION_EPOCHS epoch (with possible high reward in the future) for each user Node Operator
validator_count_with_sync_participation_less_avg_last_n_epoch	nos_name, epoch_interval	Number of validators with sync participation less than avg last SYNC_PARTICIPATION_EPOCHS_LESS_THAN_CHAIN_AVG epoch for each user Node Operator
high_reward_validator_count_with_sync_participation_less_avg_last_n_epoch	nos_name, epoch_interval	Number of validators with sync participation less than avg last SYNC_PARTICIPATION_EPOCHS_LESS_THAN_CHAIN_AVG epoch (with possible high reward in the future) for each user Node Operator
validator_count_miss_propose	nos_name	Number of validators miss propose for each user Node Operator
high_reward_validator_count_miss_propose	nos_name	Number of validators miss propose (with possible high reward in the future)
user_sync_participation_avg_percent		User sync committee validators participation avg percent
chain_sync_participation_avg_percent		All sync committee validators participation avg percent
operator_real_balance_delta	nos_name	Real operator balance change. Between N and N-1 epochs
operator_calculated_balance_delta	nos_name	Calculated operator balance change based on rewards calculation
operator_calculated_balance_calculation_error	nos_name	Diff between calculated and real balance change
avg_chain_reward	duty	Average validator's reward for each duty
operator_reward	nos_name, duty	Operator's reward for each duty
avg_chain_missed_reward	duty	Average validator's missed reward for each duty
operator_missed_reward	nos_name, duty	Operator's missed reward for each duty
avg_chain_penalty	duty	Average validator's penalty for each duty
operator_penalty	nos_name, duty	Operator's penalty for each duty

Release flow

To create new release:

1. Merge all changes to the master branch
2. Navigate to Repo => Actions
3. Run action "Prepare release" action against master branch
4. When action execution is finished, navigate to Repo => Pull requests
5. Find pull request named "chore(release): X.X.X" review and merge it with "Rebase and merge" (or "Squash and merge")
6. After merge release action will be triggered automatically
7. Navigate to Repo => Actions and see last actions logs for further details