Alerting
Alerting mechanism measures system performance according to the metrics of services/instances/endpoints from different layers. Alerting kernel is an in-memory, time-window based queue.
The alerting core is driven by a collection of rules defined in config/alarm-settings.yml.
There are three parts to alerting rule definitions.
- alerting rules. They define how metrics alerting should be triggered and what conditions should be considered.
- hooks. The list of hooks, which should be called after an alerting is triggered.
Entity name
Defines the relation between scope and entity name.
- Service: Service name
- Instance: {Instance name} of {Service name}
- Endpoint: {Endpoint name} in {Service name}
- Service Relation: {Source service name} to {Dest service name}
- Instance Relation: {Source instance name} of {Source service name} to {Dest instance name} of {Dest service name}
- Endpoint Relation: {Source endpoint name} in {Source Service name} to {Dest endpoint name} in {Dest service name}
Rules
An alerting rule is made up of the following elements:
- Rule name. A unique name shown in the alarm message. It must end with
_rule
. - Expression. A MQE expression that defines the conditions of the rule.
The result type must be
SINGLE_VALUE
and the root operation of the expression must be a Compare Operation which provides1
(true) or0
(false) result. When the result is1
(true), the alarm will be triggered. For example,avg(service_resp_time / 1000) > 1
is a valid expression to indicate the request latency is slower than 1s. The typical illegal expressions areavg(service_resp_time > 1000) + 1
expression root doesn’t useCompare Operation
service_resp_time > 1000
expression return aTIME_SERIES_VALUES
type of values rather than aSINGLE_VALUE
value.
The metrics names in the expression could be found in the list of all potential metrics name doc.
- Include names. Entity names that are included in this rule. Please follow the entity name definitions.
- Exclude names. Entity names that are excluded from this rule. Please follow the entity name definitions.
- Include names regex. A regex that includes entity names. If both include-name list and include-name regex are set, both rules will take effect.
- Exclude names regex. A regex that excludes entity names. Both rules will take effect if both include-label list and include-label regex are set.
- Tags. Tags are key/value pairs that are attached to alarms. Tags are used to specify distinguishing attributes of alarms that are meaningful and relevant to users. If you want to make these tags searchable on the SkyWalking UI, you may set the tag keys in
core/default/searchableAlarmTags
or through the system environment variableSW_SEARCHABLE_ALARM_TAG_KEYS
. The keylevel
is supported by default. - Period. The size of metrics cache in minutes for checking the alarm conditions. This is a time window that corresponds to the backend deployment env time.
- Hooks. Binding the specific names of the hooks when the alarm is triggered.
The name format is
{hookType}.{hookName}
(slack.custom1 e.g.) and must be defined in thehooks
section of thealarm-settings.yml
file. If the hook name is not specified, the global hook will be used. - Silence period. After the alarm is triggered at Time-N (TN), there will be silence during the TN -> TN + period. By default, it works in the same manner as period. The same Alarm (having the same ID in the same metrics name) may only be triggered once within a period.
Such as for a metric, there is a shifting window as following at T7.
T1 | T2 | T3 | T4 | T5 | T6 | T7 |
---|---|---|---|---|---|---|
Value1 | Value2 | Value3 | Value4 | Value5 | Value6 | Value7 |
Period
(Time point T1 ~ T7) are continuous data points for minutes. Notice, alerts are not supported above minute-by-minute periods as they would not be efficient.- Values(Value1 ~ Value7) are the values or labeled values for every time point.
Expression
is calculated based on the metric values(Value1 ~ Value7). For example, expressionavg(service_resp_time) > 1000
, if the value are1001, 1001, 1001, 1001, 1001, 1001, 1001
, the calculation is((1001 + 10001 + ... + 1001) / 7) > 1000
and the result would be1
(true). Then the alarm would be triggered.- In every minute, the window would shift automatically. At T8, Value8 would be cached, and T1/Value1 would be removed from the window.
NOTE:
- If the expression include labeled metrics and result has multiple labeled value(e.g.
sum(service_percentile{p='50,75'} > 1000) >= 3
), the alarm will be triggered if any of the labeled value result matches 3 times of the condition(P50 > 1000 or P75 > 1000). - One alarm rule is targeting the same entity level, such as service-level expression (
avg(service_resp_time) > 1000
). Set entity names(Include/Exclude names…) according to metrics entity levels, do not include different entity levels metrics in the same expression, such as service metrics and endpoint metrics.
rules:
# Rule unique name, must be ended with `_rule`.
endpoint_percent_rule:
# A MQE expression and the root operation of the expression must be a Compare Operation.
expression: sum((endpoint_sla / 100) < 75) >= 3
# The length of time to evaluate the metrics
period: 10
# How many times of checks, the alarm keeps silence after alarm triggered, default as same as period.
silence-period: 10
message: Successful rate of endpoint {name} is lower than 75%
tags:
level: WARNING
service_percent_rule:
expression: sum((service_sla / 100) < 85) >= 4
# [Optional] Default, match all services in this metrics
include-names:
- service_a
- service_b
exclude-names:
- service_c
period: 10
message: Service {name} successful rate is less than 85%
service_resp_time_percentile_rule:
expression: sum(service_percentile{p='50,75,90,95,99'} > 1000) >= 3
period: 10
silence-period: 5
message: Percentile response time of service {name} alarm in 3 minutes of last 10 minutes, due to more than one condition of p50 > 1000, p75 > 1000, p90 > 1000, p95 > 1000, p99 > 1000
meter_service_status_code_rule:
expression: sum(aggregate_labels(meter_status_code{status='4xx,5xx'},sum) > 10) > 3
period: 10
silence-period: 5
message: The request number of entity {name} 4xx and 5xx status is more than expected.
hooks:
- "slack.custom1"
- "pagerduty.custom1"
comp_rule:
expression: (avg(service_sla / 100) > 80) * (avg(service_percentile{p='0'}) > 1000) == 1
period: 10
message: Service {name} avg successful rate is less than 80% and P50 of avg response time is over 1000ms in last 10 minutes.
tags:
level: CRITICAL
hooks:
- "slack.default"
- "slack.custom1"
- "pagerduty.custom1"
Default alarm rules
For convenience’s sake, we have provided a default alarm-setting.yml
in our release. It includes the following rules:
- Service average response time over 1s in the last 3 minutes.
- Service success rate lower than 80% in the last 2 minutes.
- Percentile of service response time over 1s in the last 3 minutes
- Service Instance average response time over 1s in the last 2 minutes, and the instance name matches the regex.
- Endpoint average response time over 1s in the last 2 minutes.
- Database access average response time over 1s in the last 2 minutes.
- Endpoint relation average response time over 1s in the last 2 minutes.
List of all potential metrics name
The metrics names are defined in the official OAL scripts and MAL scripts.
Currently, metrics from the Service, Service Instance, Endpoint, Service Relation, Service Instance Relation, Endpoint Relation scopes could be used in Alarm, and the Database access scope is the same as Service.
Submit an issue or a pull request if you want to support any other scopes in Alarm.
Hooks
Hooks are a way to send alarm messages to the outside world. SkyWalking supports multiple hooks of the same type, each hook can support different configurations.
For example, you can configure two Slack hooks, one named default
and set is-default: true
means this hook will apply on all Alarm Rules
without config hooks
.
Another named custom1
will only apply on the Alarm Rules
which with config hooks
and include the name slack.custom1
.
hooks:
slack:
# default here is just a name, set the field 'is-default: true' if this notification hook is expected to be default globally.
default:
# If true, this hook will apply on all rules, unless a rule has its own specific hook. Could have more than one default hooks in the same hook type.
is-default: true
text-template: |-
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": ":alarm_clock: *Apache Skywalking Alarm* \n **%s**."
}
}
webhooks:
- https://hooks.slack.com/services/x/y/zssss
custom1:
text-template: |-
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": ":alarm_clock: *Apache Skywalking Alarm* \n **%s**."
}
}
webhooks:
- https://hooks.slack.com/services/x/y/custom1
Currently, SkyWalking supports the following hook types:
Webhook
The Webhook requires the peer to be a web container. The alarm message will be sent through HTTP post by application/json
content type after you have set up Webhook hooks as follows:
webhook:
default:
is-default: true
urls:
- http://ip:port/xxx
- http://ip:port/yyy
The JSON format is based on List<org.apache.skywalking.oap.server.core.alarm.AlarmMessage>
with the following key information:
- scopeId, scope. All scopes are defined in
org.apache.skywalking.oap.server.core.source.DefaultScopeDefine
. - name. Target scope entity name. Please follow the entity name definitions.
- id0. The ID of the scope entity that matches with the name. When using the relation scope, it is the source entity ID.
- id1. When using the relation scope, it is the destination entity ID. Otherwise, it is empty.
- ruleName. The rule name configured in
alarm-settings.yml
. - alarmMessage. The alarm text message.
- startTime. The alarm time measured in milliseconds, which occurs between the current time and the midnight of January 1, 1970 UTC.
- tags. The tags configured in
alarm-settings.yml
.
See the following example:
[{
"scopeId": 1,
"scope": "SERVICE",
"name": "serviceA",
"id0": "12",
"id1": "",
"ruleName": "service_resp_time_rule",
"alarmMessage": "alarmMessage xxxx",
"startTime": 1560524171000,
"tags": [{
"key": "level",
"value": "WARNING"
}]
}, {
"scopeId": 1,
"scope": "SERVICE",
"name": "serviceB",
"id0": "23",
"id1": "",
"ruleName": "service_resp_time_rule",
"alarmMessage": "alarmMessage yyy",
"startTime": 1560524171000,
"tags": [{
"key": "level",
"value": "CRITICAL"
}]
}]
gRPC
The alarm message will be sent through remote gRPC method by Protobuf
content type after you have set up gRPC hooks as follows:
gRPC:
default:
is-default: true
target-host: ip
target-port: port
The message contains key information which are defined in oap-server/server-alarm-plugin/src/main/proto/alarm-hook.proto
.
Part of the protocol looks like this:
message AlarmMessage {
int64 scopeId = 1;
string scope = 2;
string name = 3;
string id0 = 4;
string id1 = 5;
string ruleName = 6;
string alarmMessage = 7;
int64 startTime = 8;
AlarmTags tags = 9;
}
message AlarmTags {
// String key, String value pair.
repeated KeyStringValuePair data = 1;
}
message KeyStringValuePair {
string key = 1;
string value = 2;
}
Slack Chat
Follow the Getting Started with Incoming Webhooks guide and create new Webhooks.
The alarm message will be sent through HTTP post by application/json
content type if you have configured Slack Incoming Webhooks as follows:
slack:
default:
is-default: true
text-template: |-
{
"type": "section",
"text": {
"type": "mrkdwn",
"text": ":alarm_clock: *Apache Skywalking Alarm* \n **%s**."
}
}
webhooks:
- https://hooks.slack.com/services/x/y/z
Note that only the WeChat Company Edition (WeCom) supports WebHooks. To use the WeChat WebHook, follow the Wechat Webhooks guide.
The alarm message will be sent through HTTP post by application/json
content type after you have set up Wechat Webhooks as follows:
wechat:
default:
is-default: true
text-template: |-
{
"msgtype": "text",
"text": {
"content": "Apache SkyWalking Alarm: \n %s."
}
}
webhooks:
- https://qyapi.weixin.qq.com/cgi-bin/webhook/send?key=dummy_key
DingTalk
Follow the Dingtalk Webhooks guide and create new Webhooks.
You can configure an optional secret for an individual webhook URL for security purposes.
The alarm message will be sent through HTTP post by application/json
content type if you have configured DingTalk Webhooks as follows:
dingtalk:
default:
is-default: true
text-template: |-
{
"msgtype": "text",
"text": {
"content": "Apache SkyWalking Alarm: \n %s."
}
}
webhooks:
- url: https://oapi.dingtalk.com/robot/send?access_token=dummy_token
secret: dummysecret
Feishu
Follow the Feishu Webhooks guide and create new Webhooks.
You can configure an optional secret for an individual webhook URL for security purposes.
If you want to direct a text to a user, you can configure ats
, which is Feishu’s user_id and separated by “,” .
The alarm message will be sent through HTTP post by application/json
content type if you have configured Feishu Webhooks as follows:
feishu:
default:
is-default: true
text-template: |-
{
"msg_type": "text",
"content": {
"text": "Apache SkyWalking Alarm: \n %s."
},
"ats":"feishu_user_id_1,feishu_user_id_2"
}
webhooks:
- url: https://open.feishu.cn/open-apis/bot/v2/hook/dummy_token
secret: dummysecret
WeLink
Follow the WeLink Webhooks guide and create new Webhooks.
The alarm message will be sent through HTTP post by application/json
content type if you have configured WeLink Webhooks as follows:
welink:
default:
is-default: true
text-template: "Apache SkyWalking Alarm: \n %s."
webhooks:
# you may find your own client_id and client_secret in your app, below are dummy, need to change.
- client-id: "dummy_client_id"
client-secret: dummy_secret_key
access-token-url: https://open.welink.huaweicloud.com/api/auth/v2/tickets
message-url: https://open.welink.huaweicloud.com/api/welinkim/v1/im-service/chat/group-chat
# if you send to multi group at a time, separate group_ids with commas, e.g. "123xx","456xx"
group-ids: "dummy_group_id"
# make a name you like for the robot, it will display in group
robot-name: robot
PagerDuty
The PagerDuty hook is based on Events API v2.
Follow the Getting Started section to create an Events API v2 integration on your PagerDuty service and copy the integration key.
Then configure as follows:
pagerduty:
default:
is-default: true
text-template: "Apache SkyWalking Alarm: \n %s."
integration-keys:
- 5c6d805c9dcf4e03d09dfa81e8789ba1
You can also configure multiple integration keys.
Discord
Follow the Discord Webhooks guide and create a new webhook.
Then configure as follows:
discord:
default:
is-default: true
text-template: "Apache SkyWalking Alarm: \n %s."
webhooks:
- url: https://discordapp.com/api/webhooks/1008166889777414645/8e0Am4Zb-YGbBqqbiiq0jSHPTEEaHa4j1vIC-zSSm231T8ewGxgY0_XUYpY-k1nN4HBl
username: robot
Update the settings dynamically
Since 6.5.0, the alerting settings can be updated dynamically at runtime by Dynamic Configuration,
which will override the settings in alarm-settings.yml
.
In order to determine whether an alerting rule is triggered or not, SkyWalking needs to cache the metrics of a time window for
each alerting rule. If any attribute (expression
, period
, etc.) of a rule is changed,
the sliding window will be destroyed and re-created, causing the Alarm of this specific rule to restart again.
Keys with data types of alerting rule configuration file
Alerting element | Configuration property key | Type | Description |
---|---|---|---|
Expression | expression | string | MQE expression |
Include names | include-names | string array | |
Exclude names | exclude-names | string array | |
Include names regex | include-names-regex | string | Java regex Pattern |
Exclude names regex | exclude-names-regex | string | Java regex Pattern |
Tags | tags | key-value pair | |
Period | Period | int | |
Silence period | silence-period | int | |
Message | message | string | |
Hooks | hooks | string array |