The Prometheus Pushgateway exists to allow ephemeral and batch jobs to expose their metrics to Prometheus. Since these kinds of jobs may not exist long enough to be scraped, they can instead push their metrics to a Pushgateway. The Pushgateway then exposes these metrics to Prometheus.
1、修复了 diskmetricstore
中 SubmitWriteRequest
阻塞的问题。
2、优化diskmetricstore
处理 writeRequest的性能(单协程-> 多协程),更好得利用多核。
3、加了一个 keep.last.sec
option,Prometheus来拉取时,只取最近 keep.last.sec
的Metrics数据。
4、修改了 /metrics
接口的逻辑:在拉取完metric数据后,清空本地diskmetricstore
中的metric数据。
5、加上一些日志、指标pushgateway_recv_metric
、pushgateway_proxy_metric
,方便排障。
First of all, the Pushgateway is not capable of turning Prometheus into a push-based monitoring system. For a general description of use cases for the Pushgateway, please read When To Use The Pushgateway.
The Pushgateway is explicitly not an aggregator or distributed counter but rather a metrics cache. It does not have statsd-like semantics. The metrics pushed are exactly the same as you would present for scraping in a permanently running program. If you need distributed counting, you could either use the actual statsd in combination with the Prometheus statsd exporter, or have a look at Weavework's aggregation gateway. With more experience gathered, the Prometheus project might one day be able to provide a native solution, separate from or possibly even as part of the Pushgateway.
For machine-level metrics, the textfile collector of the Node exporter is usually more appropriate. The Pushgateway is intended for service-level metrics.
The Pushgateway is not an event store. While you can use Prometheus as a data source for Grafana annotations, tracking something like release events has to happen with some event-logging framework.
A while ago, we decided to not implement a “timeout” or TTL for pushed metrics because almost all proposed use cases turned out to be anti-patterns we strongly discourage. You can follow a more recent discussion on the prometheus-developers mailing list.
Download binary releases for your platform from the release page and unpack the tarball.
If you want to compile yourself from the sources, you need a working Go
setup. Then use the provided Makefile (type make
).
For the most basic setup, just start the binary. To change the address
to listen on, use the --web.listen-address
flag (e.g. "0.0.0.0:9091" or ":9091").
By default, Pushgateway does not persist metrics. However, the --persistence.file
flag
allows you to specify a file in which the pushed metrics will be
persisted (so that they survive restarts of the Pushgateway).
You can deploy the Pushgateway using the prom/pushgateway Docker image.
For example:
docker pull prom/pushgateway
docker run -d -p 9091:9091 prom/pushgateway
The Pushgateway has to be configured as a target to scrape by Prometheus, using
one of the usual methods. However, you should always set honor_labels: true
in the scrape config (see below for a
detailed explanation).
Prometheus client libraries should have a feature to push the registered metrics to a Pushgateway. Usually, a Prometheus client passively presents metric for scraping by a Prometheus server. A client library that supports pushing has a push function, which needs to be called by the client code. It will then actively push the metrics to a Pushgateway, using the API described below.
Using the Prometheus text protocol, pushing metrics is so easy that no
separate CLI is provided. Simply use a command-line HTTP tool like
curl
. Your favorite scripting language has most likely some built-in
HTTP capabilities you can leverage here as well.
Note that in the text protocol, each line has to end with a line-feed character (aka 'LF' or '\n'). Ending a line in other ways, e.g. with 'CR' aka '\r', 'CRLF' aka '\r\n', or just the end of the packet, will result in a protocol error.
Pushed metrics are managed in groups, identified by a grouping key of any
number of labels, of which the first must be the job
label. The groups are
easy to inspect via the web interface.
For implications of special characters in label values see the URL section below.
Examples:
-
Push a single sample into the group identified by
{job="some_job"}
:echo "some_metric 3.14" | curl --data-binary @- http://pushgateway.example.org:9091/metrics/job/some_job
Since no type information has been provided,
some_metric
will be of typeuntyped
. -
Push something more complex into the group identified by
{job="some_job",instance="some_instance"}
:cat <<EOF | curl --data-binary @- http://pushgateway.example.org:9091/metrics/job/some_job/instance/some_instance # TYPE some_metric counter some_metric{label="val1"} 42 # TYPE another_metric gauge # HELP another_metric Just an example. another_metric 2398.283 EOF
Note how type information and help strings are provided. Those lines are optional, but strongly encouraged for anything more complex.
-
Delete all metrics in the group identified by
{job="some_job",instance="some_instance"}
:curl -X DELETE http://pushgateway.example.org:9091/metrics/job/some_job/instance/some_instance
-
Delete all metrics in the group identified by
{job="some_job"}
(note that this does not include metrics in the{job="some_job",instance="some_instance"}
group from the previous example, even if those metrics have the same job label):curl -X DELETE http://pushgateway.example.org:9091/metrics/job/some_job
-
Delete all metrics in all groups (requires to enable the admin API via the command line flag
--web.enable-admin-api
):curl -X PUT http://pushgateway.example.org:9091/api/v1/admin/wipe
The Prometheus server will attach a job
label and an instance
label to each
scraped metric. The value of the job
label comes from the scrape
configuration. When you configure the Pushgateway as a scrape target for your
Prometheus server, you will probably pick a job name like pushgateway
. The
value of the instance
label is automatically set to the host and port of the
target scraped. Hence, all the metrics scraped from the Pushgateway will have
the host and port of the Pushgateway as the instance
label and a job
label
like pushgateway
. The conflict with the job
and instance
labels you might
have attached to the metrics pushed to the Pushgateway is solved by renaming
those labels to exported_job
and exported_instance
.
However, this behavior is usually undesired when scraping a
Pushgateway. Generally, you would like to retain the job
and instance
labels of the metrics pushed to the Pushgateway. That's why you have set
honor_labels: true
in the scrape config for the Pushgateway. It enables the
desired behavior. See the
documentation
for details.
This leaves us with the case where the metrics pushed to the Pushgateway do not
feature an instance
label. This case is quite common as the pushed metrics
are often on a service level and therefore not related to a particular
instance. Even with honor_labels: true
, the Prometheus server will attach an
instance
label if no instance
label has been set in the first
place. Therefore, if a metric is pushed to the Pushgateway without an instance
label (and without instance label in the grouping key, see below), the
Pushgateway will export it with an empty instance label ({instance=""}
),
which is equivalent to having no instance
label at all but prevents the
server from attaching one.
The Pushgateway exposes all pushed metrics together with its own metrics via
the same /metrics
endpoint. (See the section about exposed
metrics for details.) Therefore, all the metrics have to be
consistent with each other: Metrics of the same name must have
the same type, even if they are pushed to different groups, and there must be
no duplicates, i.e. metrics with the same name and the exact same label
pairs. Pushes that would lead to inconsistencies are rejected with status
code 400.
Inconsistent help strings are tolerated, though. The Pushgateway will pick a winning help string and log about it at info level.
Legacy note: The help string of Pushgateway's own push_time_seconds
metric
has changed in v0.10.0. By using a persistence file, metrics pushed to a
Pushgateway of an earlier version can make it into a Pushgateway of v0.10.0 or
later. In this case, the above mentioned log message will show up. Once each
previously pushed group has been deleted or received a new push, the log
message will disappear.
The consistency check performed during a push is the same as it happens anyway
during a scrape. In common use cases, scrapes happen more often than
pushes. Therefore, the performance cost of the push-time check isn't
relevant. However, if a large amount of metrics on the Pushgateway is combined
with frequent pushes, the push duration might become prohibitively long. In
this case, you might consider using the command line flag
--push.disable-consistency-check
, which saves the cost of the consistency
check during a push but allows pushing inconsistent metrics. The check will
still happen during a scrape, thereby failing all scrapes for as long as
inconsistent metrics are stored on the Pushgateway. Setting the flag therefore
puts you at risk to disable the Pushgateway by a single inconsistent push.
If you push metrics at time t1, you might be tempted to believe that Prometheus will scrape them with that same timestamp t1. Instead, what Prometheus attaches as a timestamp is the time when it scrapes the Pushgateway. Why so?
In the world view of Prometheus, a metric can be scraped at any time. A metric that cannot be scraped has basically ceased to exist. Prometheus is somewhat tolerant, but if it cannot get any samples for a metric in 5min, it will behave as if that metric does not exist anymore. Preventing that is actually one of the reasons to use a Pushgateway. The Pushgateway will make the metrics of your ephemeral job scrapable at any time. Attaching the time of pushing as a timestamp would defeat that purpose because 5min after the last push, your metric will look as stale to Prometheus as if it could not be scraped at all anymore. (Prometheus knows only one timestamp per sample, there is no way to distinguish a 'time of pushing' and a 'time of scraping'.)
As there aren't any use cases where it would make sense to attach a different timestamp, and many users attempting to incorrectly do so (despite no client library supporting this), the Pushgateway rejects any pushes with timestamps.
If you think you need to push a timestamp, please see When To Use The Pushgateway.
In order to make it easier to alert on failed pushers or those that have not
run recently, the Pushgateway will add in the metrics push_time_seconds
and
push_failure_time_seconds
with the Unix timestamp of the last successful and
failed POST
/PUT
to each group. This will override any pushed metric by that
name. A value of zero for either metric implies that the group has never seen a
successful or failed POST
/PUT
.
All pushes are done via HTTP. The interface is vaguely REST-like.
The default port the Pushgateway is listening to is 9091. The path looks like
/metrics/job/<JOB_NAME>{/<LABEL_NAME>/<LABEL_VALUE>}
<JOB_NAME>
is used as the value of the job
label, followed by any
number of other label pairs (which might or might not include an
instance
label). The label set defined by the URL path is used as a
grouping key. Any of those labels already set in the body of the
request (as regular labels, e.g. name{job="foo"} 42
)
will be overwritten to match the labels defined by the URL path!
If job
or any label name is suffixed with @base64
, the following job name
or label value is interpreted as a base64 encoded string according to RFC
4648, using the URL and filename safe
alphabet. (Padding is
optional.) This is the only way of using job names or label values that contain
a /
. For other special characters, the usual URI component encoding works,
too, but the base64 might be more convenient.
Ideally, client libraries take care of the suffixing and encoding.
Examples:
-
To use the grouping key
job="directory_cleaner",path="/var/tmp"
, the following path will not work:/metrics/job/directory_cleaner/path//var/tmp
Instead, use the base64 URL-safe encoding for the label value and mark it by suffixing the label name with
@base64
:/metrics/job/directory_cleaner/path@base64/L3Zhci90bXA
If you are not using a client library that handles the encoding for you, you can use encoding tools. For example, there is a command line tool
base64url
(Debian packagebasez
), which you could combine withcurl
to push from the command line in the following way:echo 'some_metric{foo="bar"} 3.14' | curl --data-binary @- http://pushgateway.example.org:9091/metrics/job/directory_cleaner/path@base64/$(echo -n '/var/tmp' | base64url)
-
The grouping key
job="titan",name="Προμηθεύς"
can be represented “traditionally” with URI encoding:/metrics/job/titan/name/%CE%A0%CF%81%CE%BF%CE%BC%CE%B7%CE%B8%CE%B5%CF%8D%CF%82
Or you can use the more compact base64 encoding:
/metrics/job/titan/name@base64/zqDPgc6_zrzOt864zrXPjc-C
PUT
is used to push a group of metrics. All metrics with the
grouping key specified in the URL are replaced by the metrics pushed
with PUT
.
The body of the request contains the metrics to push either as delimited binary
protocol buffers or in the simple flat text format (both in version 0.0.4, see
the
data exposition format specification).
Discrimination between the two variants is done via the Content-Type
header. (Use the value application/vnd.google.protobuf; proto=io.prometheus.client.MetricFamily; encoding=delimited
for protocol
buffers, otherwise the text format is tried as a fall-back.)
The response code upon success is either 200, 202, or 400. A 200 response
implies a successful push, either replacing an existing group of metrics or
creating a new one. A 400 response can happen if the request is malformed or if
the pushed metrics are inconsistent with metrics pushed to other groups or
collide with metrics of the Pushgateway itself. An explanation is returned in
the body of the response and logged on error level. A 202 can only occur if the
--push.disable-consistency-check
flag is set. In this case, pushed metrics
are just queued and not checked for consistency. Inconsistencies will lead to
failed scrapes, however, as described above.
In rare cases, it is possible that the Pushgateway ends up with an inconsistent set of metrics already pushed. In that case, new pushes are also rejected as inconsistent even if the culprit is metrics that were pushed earlier. Delete the offending metrics to get out of that situation.
If using the protobuf format, do not send duplicate MetricFamily proto messages (i.e. more than one with the same name) in one push, as they will overwrite each other.
Note that the Pushgateway doesn't provide any strong guarantees that the pushed metrics are persisted to disk. (A server crash may cause data loss. Or the Pushgateway is configured to not persist to disk at all.)
A PUT
request with an empty body effectively deletes all metrics with the
specified grouping key. However, in contrast to the
DELETE
request described below, it does update the
push_time_seconds
metrics.
POST
works exactly like the PUT
method but only metrics with the
same name as the newly pushed metrics are replaced (among those with
the same grouping key).
A POST
request with an empty body merely updates the push_time_seconds
metrics but does not change any of the previously pushed metrics.
DELETE
is used to delete metrics from the Pushgateway. The request
must not contain any content. All metrics with the grouping key
specified in the URL are deleted.
The response code upon success is always 202. The delete
request is merely queued at that moment. There is no guarantee that the
request will actually be executed or that the result will make it to
the persistence layer (e.g. in case of a server crash). However, the
order of PUT
/POST
and DELETE
request is guaranteed, i.e. if you
have successfully sent a DELETE
request and then send a PUT
, it is
guaranteed that the DELETE
will be processed first (and vice versa).
Deleting a grouping key without metrics is a no-op and will not result in an error.
The Admin API provides administrative access to the Pushgateway, and must be
explicitly enabled by setting --web.enable-admin-api
flag.
The default port the Pushgateway is listening to is 9091. The path looks like:
/api/<API_VERSION>/admin/<HANDLER>
- Available endpoints:
HTTP_METHOD | API_VERSION | HANDLER | DESCRIPTION |
---|---|---|---|
PUT | v1 | wipe | Safely deletes all metrics from the Pushgateway. |
-
For example to wipe all metrics from the Pushgateway:
curl -X PUT http://pushgateway.example.org:9091/api/v1/admin/wipe
The query API allows accessing pushed metrics and build and runtime information.
/api/<API_VERSION>/<HANDLER>
- Available endpoints:
HTTP_METHOD | API_VERSION | HANDLER | DESCRIPTION |
---|---|---|---|
GET | v1 | status | Returns build information, command line flags, and the start time in JSON format. |
GET | v1 | metrics | Returns the pushed metric families in JSON format. |
-
For example :
curl -X GET http://pushgateway.example.org:9091/api/v1/status { "status": "success", "data": { "build_information": { "branch": "master", "buildDate": "20200310-20:14:39", "buildUser": "[email protected]", "goVersion": "go1.13.6", "revision": "eba0ec4100873d23666bcf4b8b1d44617d6430c4", "version": "1.1.0" }, "flags": { "log.format": "logfmt", "log.level": "info", "persistence.file": "", "persistence.interval": "5m0s", "push.disable-consistency-check": "false", "web.enable-admin-api": "false", "web.enable-lifecycle": "false", "web.external-url": "", "web.listen-address": ":9091", "web.route-prefix": "", "web.telemetry-path": "/metrics" }, "start_time": "2020-03-11T01:44:49.9189758+05:30" } } curl -X GET http://pushgateway.example.org:9091/api/v1/metrics { "status": "success", "data": [ { "labels": { "job": "batch" }, "last_push_successful": true, "my_job_duration_seconds": { "time_stamp": "2020-03-11T02:02:27.716605811+05:30", "type": "GAUGE", "help": "Duration of my batch jon in seconds", "metrics": [ { "labels": { "instance": "", "job": "batch" }, "value": "0.2721322309989773" } ] }, "push_failure_time_seconds": { "time_stamp": "2020-03-11T02:02:27.716605811+05:30", "type": "GAUGE", "help": "Last Unix time when changing this group in the Pushgateway failed.", "metrics": [ { "labels": { "instance": "", "job": "batch" }, "value": "0" } ] }, "push_time_seconds": { "time_stamp": "2020-03-11T02:02:27.716605811+05:30", "type": "GAUGE", "help": "Last Unix time when changing this group in the Pushgateway succeeded.", "metrics": [ { "labels": { "instance": "", "job": "batch" }, "value": "1.5838723477166057e+09" } ] } } ] }
The Pushgateway provides a set of management API to ease automation and integrations.
- Available endpoints:
HTTP_METHOD | PATH | DESCRIPTION |
---|---|---|
GET | /-/healthy | Returns 200 whenever the Pushgateway is healthy. |
GET | /-/ready | Returns 200 whenever the Pushgateway is ready to serve traffic. |
- The following endpoint is disabled by default and can be enabled via the
--web.enable-lifecycle
flag.
HTTP_METHOD | PATH | DESCRIPTION |
---|---|---|
PUT | /-/quit | Triggers a graceful shutdown of Pushgateway. |
Alternatively, a graceful shutdown can be triggered by sending a SIGTERM
to the Pushgateway process.
The Pushgateway exposes the following metrics via the configured
--web.telemetry-path
(default: /metrics
):
- The pushed metrics.
- For each pushed group, a metric
push_time_seconds
andpush_failure_time_seconds
as explained above. - The usual metrics provided by the Prometheus Go client library, i.e.:
process_...
go_...
promhttp_metric_handler_requests_...
- A number of metrics specific to the Pushgateway, as documented by the example scrape below.
# HELP pushgateway_build_info A metric with a constant '1' value labeled by version, revision, branch, and goversion from which pushgateway was built.
# TYPE pushgateway_build_info gauge
pushgateway_build_info{branch="master",goversion="go1.10.2",revision="8f88ccb0343fc3382f6b93a9d258797dcb15f770",version="0.5.2"} 1
# HELP pushgateway_http_push_duration_seconds HTTP request duration for pushes to the Pushgateway.
# TYPE pushgateway_http_push_duration_seconds summary
pushgateway_http_push_duration_seconds{method="post",quantile="0.1"} 0.000116755
pushgateway_http_push_duration_seconds{method="post",quantile="0.5"} 0.000192608
pushgateway_http_push_duration_seconds{method="post",quantile="0.9"} 0.000327593
pushgateway_http_push_duration_seconds_sum{method="post"} 0.001622878
pushgateway_http_push_duration_seconds_count{method="post"} 8
# HELP pushgateway_http_push_size_bytes HTTP request size for pushes to the Pushgateway.
# TYPE pushgateway_http_push_size_bytes summary
pushgateway_http_push_size_bytes{method="post",quantile="0.1"} 166
pushgateway_http_push_size_bytes{method="post",quantile="0.5"} 182
pushgateway_http_push_size_bytes{method="post",quantile="0.9"} 196
pushgateway_http_push_size_bytes_sum{method="post"} 1450
pushgateway_http_push_size_bytes_count{method="post"} 8
# HELP pushgateway_http_requests_total Total HTTP requests processed by the Pushgateway, excluding scrapes.
# TYPE pushgateway_http_requests_total counter
pushgateway_http_requests_total{code="200",handler="static",method="get"} 5
pushgateway_http_requests_total{code="200",handler="status",method="get"} 8
pushgateway_http_requests_total{code="202",handler="delete",method="delete"} 1
pushgateway_http_requests_total{code="202",handler="push",method="post"} 6
pushgateway_http_requests_total{code="400",handler="push",method="post"} 2
It is in general a good idea to alert on push_time_seconds
being much farther
behind than expected. This will catch both failed pushes as well as pushers
being down completely.
To detect failed pushes much earlier, alert on push_failure_time_seconds > push_time_seconds
.
Pushes can also fail because they are malformed. In this case, they never reach
any metric group and therefore won't set any push_failure_time_seconds
metrics. Those pushes are still counted as
pushgateway_http_requests_total{code="400",handler="push"}
. You can alert on
the rate
of this metric, but you have to inspect the logs to identify the
offending pusher.
The normal binary embeds the web files in the resources
directory.
For development purposes, it is handy to have a running binary use
those files directly (so that you can see the effect of changes immediately).
To switch to direct usage, add -tags dev
to the flags
entry in
.promu.yml
, and then make build
. Switch back to "normal" mode by
reverting the changes to .promu.yml
and typing make assets
.
Relevant style guidelines are the Go Code Review Comments and the Formatting and style section of Peter Bourgon's Go: Best Practices for Production Environments.