Alerting
Alerting
Overview
The alerting of IoTDB is expected to support two modes:
Writing triggered: the user writes data to the original time series, and every time a piece of data is inserted, the judgment logic of
trigger
will be triggered.
If the alerting requirements are met, an alert is sent to the data sink,
The data sink then forwards the alert to the external terminal.- This mode is suitable for scenarios that need to monitor every piece of data in real time.
- Since the operation in the trigger will affect the data writing performance, it is suitable for scenarios that are not sensitive to the original data writing performance.
Continuous query: the user writes data to the original time series,
ContinousQuery
periodically queries the original time series, and writes the query results into the new time series,
Each write triggers the judgment logic oftrigger
,
If the alerting requirements are met, an alert is sent to the data sink,
The data sink then forwards the alert to the external terminal.- This mode is suitable for scenarios where data needs to be regularly queried within a certain period of time.
- It is Suitable for scenarios where the original data needs to be down-sampled and persisted.
- Since the timing query hardly affects the writing of the original time series, it is suitable for scenarios that are sensitive to the performance of the original data writing performance.
With the introduction of the trigger
module and the sink
module into IoTDB,
at present, users can use these two modules with AlertManager
to realize the writing triggered alerting mode.
Deploying AlertManager
Installation
Precompiled binaries
The pre-compiled binary file can be downloaded here.
Running command:
./alertmanager --config.file=<your_file>
Docker image
Available at Quay.io
or Docker Hub.
Running command:
docker run --name alertmanager -d -p 127.0.0.1:9093:9093 quay.io/prometheus/alertmanager
Configuration
The following is an example, which can cover most of the configuration rules. For detailed configuration rules, see
here.
Example:
# alertmanager.yml
global:
# The smarthost and SMTP sender used for mail notifications.
smtp_smarthost: 'localhost:25'
smtp_from: 'alertmanager@example.org'
# The root route on which each incoming alert enters.
route:
# The root route must not have any matchers as it is the entry point for
# all alerts. It needs to have a receiver configured so alerts that do not
# match any of the sub-routes are sent to someone.
receiver: 'team-X-mails'
# The labels by which incoming alerts are grouped together. For example,
# multiple alerts coming in for cluster=A and alertname=LatencyHigh would
# be batched into a single group.
#
# To aggregate by all possible labels use '...' as the sole label name.
# This effectively disables aggregation entirely, passing through all
# alerts as-is. This is unlikely to be what you want, unless you have
# a very low alert volume or your upstream notification system performs
# its own grouping. Example: group_by: [...]
group_by: ['alertname', 'cluster']
# When a new group of alerts is created by an incoming alert, wait at
# least 'group_wait' to send the initial notification.
# This way ensures that you get multiple alerts for the same group that start
# firing shortly after another are batched together on the first
# notification.
group_wait: 30s
# When the first notification was sent, wait 'group_interval' to send a batch
# of new alerts that started firing for that group.
group_interval: 5m
# If an alert has successfully been sent, wait 'repeat_interval' to
# resend them.
repeat_interval: 3h
# All the above attributes are inherited by all child routes and can
# overwritten on each.
# The child route trees.
routes:
# This routes performs a regular expression match on alert labels to
# catch alerts that are related to a list of services.
- match_re:
service: ^(foo1|foo2|baz)$
receiver: team-X-mails
# The service has a sub-route for critical alerts, any alerts
# that do not match, i.e. severity != critical, fall-back to the
# parent node and are sent to 'team-X-mails'
routes:
- match:
severity: critical
receiver: team-X-pager
- match:
service: files
receiver: team-Y-mails
routes:
- match:
severity: critical
receiver: team-Y-pager
# This route handles all alerts coming from a database service. If there's
# no team to handle it, it defaults to the DB team.
- match:
service: database
receiver: team-DB-pager
# Also group alerts by affected database.
group_by: [alertname, cluster, database]
routes:
- match:
owner: team-X
receiver: team-X-pager
- match:
owner: team-Y
receiver: team-Y-pager
# Inhibition rules allow to mute a set of alerts given that another alert is
# firing.
# We use this to mute any warning-level notifications if the same alert is
# already critical.
inhibit_rules:
- source_match:
severity: 'critical'
target_match:
severity: 'warning'
# Apply inhibition if the alertname is the same.
# CAUTION:
# If all label names listed in `equal` are missing
# from both the source and target alerts,
# the inhibition rule will apply!
equal: ['alertname']
receivers:
- name: 'team-X-mails'
email_configs:
- to: 'team-X+alerts@example.org, team-Y+alerts@example.org'
- name: 'team-X-pager'
email_configs:
- to: 'team-X+alerts-critical@example.org'
pagerduty_configs:
- routing_key: <team-X-key>
- name: 'team-Y-mails'
email_configs:
- to: 'team-Y+alerts@example.org'
- name: 'team-Y-pager'
pagerduty_configs:
- routing_key: <team-Y-key>
- name: 'team-DB-pager'
pagerduty_configs:
- routing_key: <team-DB-key>
In the following example, we used the following configuration:
# alertmanager.yml
global:
smtp_smarthost: ''
smtp_from: ''
smtp_auth_username: ''
smtp_auth_password: ''
smtp_require_tls: false
route:
group_by: ['alertname']
group_wait: 1m
group_interval: 10m
repeat_interval: 10h
receiver: 'email'
receivers:
- name: 'email'
email_configs:
- to: ''
inhibit_rules:
- source_match:
severity: 'critical'
target_match:
severity: 'warning'
equal: ['alertname']
API
The AlertManager
API is divided into two versions, v1
and v2
. The current AlertManager
API version is v2
(For configuration see
api/v2/openapi.yaml).
By default, the prefix is /api/v1
or /api/v2
and the endpoint for sending alerts is /api/v1/alerts
or /api/v2/alerts
.
If the user specifies --web.route-prefix
,
for example --web.route-prefix=/alertmanager/
,
then the prefix will become /alertmanager/api/v1
or /alertmanager/api/v2
,
and the endpoint that sends the alert becomes /alertmanager/api/v1/alerts
or /alertmanager/api/v2/alerts
.
Creating trigger
Writing the trigger class
The user defines a trigger by creating a Java class and writing the logic in the hook.
Please refer to Triggers for the specific configuration process and the usage method of AlertManagerSink
related tools provided by the Sink module.
The following example creates the org.apache.iotdb.trigger.AlertingExample
class,
Its alertManagerHandler member variables can send alerts to the AlertManager instance
at the address of http://127.0.0.1:9093/
.
When value> 100.0
, send an alert of critical
severity;
when 50.0 <value <= 100.0
, send an alert of warning
severity
.
package org.apache.iotdb.trigger;
/*
package importing is omitted here
*/
public class AlertingExample implements Trigger {
private final AlertManagerHandler alertManagerHandler = new AlertManagerHandler();
private final AlertManagerConfiguration alertManagerConfiguration =
new AlertManagerConfiguration("http://127.0.0.1:9093/api/v2/alerts");
private String alertname;
private final HashMap<String, String> labels = new HashMap<>();
private final HashMap<String, String> annotations = new HashMap<>();
@Override
public void onCreate(TriggerAttributes attributes) throws Exception {
alertManagerHandler.open(alertManagerConfiguration);
alertname = "alert_test";
labels.put("series", "root.ln.wf01.wt01.temperature");
labels.put("value", "");
labels.put("severity", "");
annotations.put("summary", "high temperature");
annotations.put("description", "{{.alertname}}: {{.series}} is {{.value}}");
}
@Override
public void onDrop() throws IOException {
alertManagerHandler.close();
}
@Override
public void onStart() {
alertManagerHandler.open(alertManagerConfiguration);
}
@Override
public void onStop() throws Exception {
alertManagerHandler.close();
}
@Override
public Double fire(long timestamp, Double value) throws Exception {
if (value > 100.0) {
labels.put("value", String.valueOf(value));
labels.put("severity", "critical");
AlertManagerEvent alertManagerEvent = new AlertManagerEvent(alertname, labels, annotations);
alertManagerHandler.onEvent(alertManagerEvent);
} else if (value > 50.0) {
labels.put("value", String.valueOf(value));
labels.put("severity", "warning");
AlertManagerEvent alertManagerEvent = new AlertManagerEvent(alertname, labels, annotations);
alertManagerHandler.onEvent(alertManagerEvent);
}
return value;
}
@Override
public double[] fire(long[] timestamps, double[] values) throws Exception {
for (double value : values) {
if (value > 100.0) {
labels.put("value", String.valueOf(value));
labels.put("severity", "critical");
AlertManagerEvent alertManagerEvent = new AlertManagerEvent(alertname, labels, annotations);
alertManagerHandler.onEvent(alertManagerEvent);
} else if (value > 50.0) {
labels.put("value", String.valueOf(value));
labels.put("severity", "warning");
AlertManagerEvent alertManagerEvent = new AlertManagerEvent(alertname, labels, annotations);
alertManagerHandler.onEvent(alertManagerEvent);
}
}
return values;
}
}
Creating trigger
The following SQL statement registered the trigger
named root-ln-wf01-wt01-alert
on the root.ln.wf01.wt01.temperature
time series,
whose operation logic is defined
by org.apache.iotdb.trigger.AlertingExample
java class.
CREATE TRIGGER `root-ln-wf01-wt01-alert`
AFTER INSERT
ON root.ln.wf01.wt01.temperature
AS "org.apache.iotdb.trigger.AlertingExample"
Writing data
When we finish the deployment and startup of AlertManager as well as the creation of Trigger,
we can test the alerting
by writing data to the time series.
INSERT INTO root.ln.wf01.wt01(timestamp, temperature) VALUES (1, 0);
INSERT INTO root.ln.wf01.wt01(timestamp, temperature) VALUES (2, 30);
INSERT INTO root.ln.wf01.wt01(timestamp, temperature) VALUES (3, 60);
INSERT INTO root.ln.wf01.wt01(timestamp, temperature) VALUES (4, 90);
INSERT INTO root.ln.wf01.wt01(timestamp, temperature) VALUES (5, 120);
After executing the above writing statements,
we can receive an alerting email. Because our AlertManager
configuration above
makes alerts of critical
severity inhibit those of warning
severity,
the alerting email we receive only contains the alert triggered
by the writing of (5, 120)
.