Just adding a statement here explaining that the default is an
immediate move to "active" without a pending state.
Signed-off-by: Tim Martin <tim@timmartin.me>
Adds web config option `client_allowed_sans`. This enables Prometheus to
limit the Subject Alternate Name (SAN) allowed to connect.
Signed-off-by: SuperQ <superq@gmail.com>
Handle more arithmetic operators and aggregators for native histograms
This includes operators for multiplication (formerly known as scaling), division, and subtraction. Plus aggregations for average and the avg_over_time function.
Stdvar and stddev will (for now) ignore histograms properly (rather than counting them but adding a 0 for them).
Signed-off-by: Jeanette Tan <jeanette.tan@grafana.com>
So far, if a target exposes a histogram with both classic and native
buckets, a native-histogram enabled Prometheus would ignore the
classic buckets. With the new scrape config option
`scrape_classic_histograms` set, both buckets will be ingested,
creating all the series of a classic histogram in parallel to the
native histogram series. For example, a histogram `foo` would create a
native histogram series `foo` and classic series called `foo_sum`,
`foo_count`, and `foo_bucket`.
This feature can be used in a migration strategy from classic to
native histograms, where it is desired to have a transition period
during which both native and classic histograms are present.
Note that two bugs in classic histogram parsing were found and fixed
as a byproduct of testing the new feature:
1. Series created from classic _gauge_ histograms didn't get the
_sum/_count/_bucket prefix set.
2. Values of classic _float_ histograms weren't parsed properly.
Signed-off-by: beorn7 <beorn@grafana.com>
Introduces support for a new query parameter in the `/rules` API endpoint that allows filtering by rule names.
If all the rules of a group are filtered, we skip the group entirely.
Signed-off-by: gotjosh <josue.abreu@gmail.com>
In other words: Instead of having a “polymorphous” `Point` that can
either contain a float value or a histogram value, use an `FPoint` for
floats and an `HPoint` for histograms.
This seemingly small change has a _lot_ of repercussions throughout
the codebase.
The idea here is to avoid the increase in size of `Point` arrays that
happened after native histograms had been added.
The higher-level data structures (`Sample`, `Series`, etc.) are still
“polymorphous”. The same idea could be applied to them, but at each
step the trade-offs needed to be evaluated.
The idea with this change is to do the minimum necessary to get back
to pre-histogram performance for functions that do not touch
histograms. Here are comparisons for the `changes` function. The test
data doesn't include histograms yet. Ideally, there would be no change
in the benchmark result at all.
First runtime v2.39 compared to directly prior to this commit:
```
name old time/op new time/op delta
RangeQuery/expr=changes(a_one[1d]),steps=1-16 391µs ± 2% 542µs ± 1% +38.58% (p=0.000 n=9+8)
RangeQuery/expr=changes(a_one[1d]),steps=10-16 452µs ± 2% 617µs ± 2% +36.48% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_one[1d]),steps=100-16 1.12ms ± 1% 1.36ms ± 2% +21.58% (p=0.000 n=8+10)
RangeQuery/expr=changes(a_one[1d]),steps=1000-16 7.83ms ± 1% 8.94ms ± 1% +14.21% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_ten[1d]),steps=1-16 2.98ms ± 0% 3.30ms ± 1% +10.67% (p=0.000 n=9+10)
RangeQuery/expr=changes(a_ten[1d]),steps=10-16 3.66ms ± 1% 4.10ms ± 1% +11.82% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_ten[1d]),steps=100-16 10.5ms ± 0% 11.8ms ± 1% +12.50% (p=0.000 n=8+10)
RangeQuery/expr=changes(a_ten[1d]),steps=1000-16 77.6ms ± 1% 87.4ms ± 1% +12.63% (p=0.000 n=9+9)
RangeQuery/expr=changes(a_hundred[1d]),steps=1-16 30.4ms ± 2% 32.8ms ± 1% +8.01% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=10-16 37.1ms ± 2% 40.6ms ± 2% +9.64% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=100-16 105ms ± 1% 117ms ± 1% +11.69% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=1000-16 783ms ± 3% 876ms ± 1% +11.83% (p=0.000 n=9+10)
```
And then runtime v2.39 compared to after this commit:
```
name old time/op new time/op delta
RangeQuery/expr=changes(a_one[1d]),steps=1-16 391µs ± 2% 547µs ± 1% +39.84% (p=0.000 n=9+8)
RangeQuery/expr=changes(a_one[1d]),steps=10-16 452µs ± 2% 616µs ± 2% +36.15% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_one[1d]),steps=100-16 1.12ms ± 1% 1.26ms ± 1% +12.20% (p=0.000 n=8+10)
RangeQuery/expr=changes(a_one[1d]),steps=1000-16 7.83ms ± 1% 7.95ms ± 1% +1.59% (p=0.000 n=10+8)
RangeQuery/expr=changes(a_ten[1d]),steps=1-16 2.98ms ± 0% 3.38ms ± 2% +13.49% (p=0.000 n=9+10)
RangeQuery/expr=changes(a_ten[1d]),steps=10-16 3.66ms ± 1% 4.02ms ± 1% +9.80% (p=0.000 n=10+9)
RangeQuery/expr=changes(a_ten[1d]),steps=100-16 10.5ms ± 0% 10.8ms ± 1% +3.08% (p=0.000 n=8+10)
RangeQuery/expr=changes(a_ten[1d]),steps=1000-16 77.6ms ± 1% 78.1ms ± 1% +0.58% (p=0.035 n=9+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=1-16 30.4ms ± 2% 33.5ms ± 4% +10.18% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=10-16 37.1ms ± 2% 40.0ms ± 1% +7.98% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=100-16 105ms ± 1% 107ms ± 1% +1.92% (p=0.000 n=10+10)
RangeQuery/expr=changes(a_hundred[1d]),steps=1000-16 783ms ± 3% 775ms ± 1% -1.02% (p=0.019 n=9+9)
```
In summary, the runtime doesn't really improve with this change for
queries with just a few steps. For queries with many steps, this
commit essentially reinstates the old performance. This is good
because the many-step queries are the one that matter most (longest
absolute runtime).
In terms of allocations, though, this commit doesn't make a dent at
all (numbers not shown). The reason is that most of the allocations
happen in the sampleRingIterator (in the storage package), which has
to be addressed in a separate commit.
Signed-off-by: beorn7 <beorn@grafana.com>
This makes it more consistent with other command like import rules. We
don't have stricts rules and uniformity accross promtool unfortunately,
but I think it's better to only have the http config on relevant check
commands to avoid thinking Prometheus can e.g. check the config over the
wire.
Signed-off-by: Julien Pivotto <roidelapluie@o11y.eu>
* Correct statement in docs about query results returning either floats or histograms but not both.
* Move documentation for range and instant vectors under their corresponding headings.
Signed-off-by: Charles Korn <charles.korn@grafana.com>
This commit adds a new 'keep_firing_for' field to Prometheus alerting
rules. The 'resolve_delay' field specifies the minimum amount of time
that an alert should remain firing, even if the expression does not
return any results.
This feature was discussed at a previous dev summit, and it was
determined that a feature like this would be useful in order to allow
the expression time to stabilize and prevent confusing resolved messages
from being propagated through Alertmanager.
This approach is simpler than having two PromQL queries, as was
sometimes discussed, and it should be easy to implement.
This commit does not include tests for the 'resolve_delay' field. This
is intentional, as the purpose of this commit is to gather comments on
the proposed design of the 'resolve_delay' field before implementing
tests. Once the design of the 'resolve_delay' field has been finalized,
a follow-up commit will be submitted with tests."
See https://github.com/prometheus/prometheus/issues/11570
Signed-off-by: Julien Pivotto <roidelapluie@o11y.eu>
* Update docs example rules for default config
The prometheus download includes a default config to scrape itself.
This self-scraping prometheus doesn't include any metric named as
`http_inprogress_requests`, but does include one named
`prometheus_http_requests_total`.
Updating this example rule in the docs to one which can be used
out-of-the-box with the default download would be a nice improvement.
Signed-off-by: Sam Jewell <sam.jewell@grafana.com>
* Update syntax as per @LeviHarrison's review
Co-authored-by: Levi Harrison <levisamuelharrison@gmail.com>
Signed-off-by: Sam Jewell <2903904+samjewell@users.noreply.github.com>
Signed-off-by: Sam Jewell <sam.jewell@grafana.com>
Signed-off-by: Sam Jewell <2903904+samjewell@users.noreply.github.com>
Co-authored-by: Levi Harrison <levisamuelharrison@gmail.com>
Since the struct defines proxy_connect_header instead of proxy_connect_headers, all relevant occurences of it were replaced with the correct configuration name as defined in the HTTPClientConfig struct.
Signed-off-by: Robbe Haesendonck <googleit@inuits.eu>
* Add API endpoints for getting scrape pool names
This adds api/v1/scrape_pools endpoint that returns the list of *names* of all the scrape pools configured.
Having it allows to find out what scrape pools are defined without having to list and parse all targets.
The second change is adding scrapePool query parameter support in api/v1/targets endpoint, that allows to
filter returned targets by only finding ones for passed scrape pool name.
Both changes allow to query for a specific scrape pool data, rather than getting all the targets for all possible scrape pools.
The problem with api/v1/targets endpoint is that it returns huge amount of data if you configure a lot of scrape pools.
Signed-off-by: Łukasz Mierzwa <l.mierzwa@gmail.com>
* Add a scrape pool selector on /targets page
Current targets page lists all possible targets. This works great if you only have a few scrape pools configured,
but for systems with a lot of scrape pools and targets this slow things down a lot.
Not only does the /targets page load very slowly in such case (waiting for huge API response) but it also take
a long time to render, due to huge number of elements.
This change adds a dropdown selector so it's possible to select only intersting scrape pool to view.
There's also scrapePool query param that will open selected pool automatically.
Signed-off-by: Łukasz Mierzwa <l.mierzwa@gmail.com>
Signed-off-by: Łukasz Mierzwa <l.mierzwa@gmail.com>
* Add VM size label to azure service discovery (#11575)
Signed-off-by: davidifr <davidfr.mail@gmail.com>
* Add VM size label to azure service discovery (#11575)
Signed-off-by: davidifr <davidfr.mail@gmail.com>
* Add VM size label to azure service discovery (#11575)
Signed-off-by: davidifr <davidfr.mail@gmail.com>
Signed-off-by: davidifr <davidfr.mail@gmail.com>
* docs: Add link to best practices in "Defining Recording Rules" page
Signed-off-by: John Carlo Roberto <10111643+Irizwaririz@users.noreply.github.com>
* docs: Improve wording
Signed-off-by: John Carlo Roberto <10111643+Irizwaririz@users.noreply.github.com>
Signed-off-by: John Carlo Roberto <10111643+Irizwaririz@users.noreply.github.com>
* Common client in EC2 and Lightsail
Signed-off-by: Levi Harrison <git@leviharrison.dev>
* Azure -> AWS
Signed-off-by: Levi Harrison <git@leviharrison.dev>
Signed-off-by: Levi Harrison <git@leviharrison.dev>
This PR updates the Serverset url at the configuration.md documentation.
Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
Signed-off-by: Gabriela Cervantes <gabriela.cervantes.tellez@intel.com>
Illustrate use of named capturing group syntax available from https://github.com/google/re2/wiki/Syntax and their usage in the replacement field
Signed-off-by: Guillaume Berche <guillaume.berche@orange.com>
Some frameworks issue HEAD requests to determine health.
This resolvesprometheus/prometheus#11159
Signed-off-by: Nicolas Dumazet <nicdumz.commits@gmail.com>
Signed-off-by: Nicolas Dumazet <nicdumz.commits@gmail.com>
Currently, it's not explicitly called out which permissions are needed
for service discovery of EC2 instances. It's not super hard to figure
out, but it did involve a bit of guesswork when I did it yesterday, and
I figure it's worth saving people that effort.
I've also seen examples around the internet where people are granting
much broader permissions than they need to, so maybe we can save on that
by explicitly saying what's needed.
Signed-off-by: Chris Sinjakli <chris@sinjakli.co.uk>
It's currently possible to use blackbox_exporter to probe MX records
themselves. However it's not possible to do an end-to-end test, like is
possible with SRV records. This makes it possible to use MX records as a
source of hostnames in the same way as SRV records.
Signed-off-by: David Leadbeater <dgl@dgl.cx>
* Add /api/v1/format_query API endpoint for formatting queries
This uses the formatting functionality introduced in
https://github.com/prometheus/prometheus/pull/10544.
I've chosen "query" instead of "expr" in both the endpoint and parameter
names to stay consistent with the existing API endpoints. Otherwise, I
would have preferred to use the term "expr".
Signed-off-by: Julius Volz <julius.volz@gmail.com>
* Add docs for /api/v1/format_query endpoint
Signed-off-by: Julius Volz <julius.volz@gmail.com>
* Add note that formatting expressions removes comments
Signed-off-by: Julius Volz <julius.volz@gmail.com>
Signed-off-by: Jonathan Stevens <jonathanstevens89@gmail.com>
Signed-off-by: Jonathan Stevens <jon.stevens@getweave.com>
Co-authored-by: Jonathan Stevens <jon.stevens@getweave.com>
- For now this is relatively simplistic, but at least acknowledges some
of the basics, and points out some parts that might not be obvious at first.
Relates to #7192
Signed-off-by: Harold Dost <h.dost@criteo.com>
* add description for __meta_kubernetes_endpoints_label_* and __meta_kubernetes_endpoints_labelpresent_*
Signed-off-by: renzheng.wang <wangrzneu@gmail.com>
This follow a simple function-based approach to access the count and
sum fields of a native Histogram. It might be more elegant to
implement “accessors” via the dot operator, as considered in the
brainstorming doc [1]. However, that would require the introduction of
a whole new concept in PromQL. For the PoC, we should be fine with the
function-based approch. Even the obvious inefficiencies (rate'ing a
whole histogram twice when we only want to rate each the count and the
sum once) could be optimized behind the scenes.
Note that the function-based approach elegantly solves the problem of
detecting counter resets in the sum of observations in the case of
negative observations. (Since the whole native Histogram is rate'd,
the counter reset is detected for the Histogram as a whole.)
We will decide later if an “accessor” approach is really needed. It
would change the example expression for average duration in
functions.md from
histogram_sum(rate(http_request_duration_seconds[10m]))
/
histogram_count(rate(http_request_duration_seconds[10m]))
to
rate(http_request_duration_seconds.sum[10m])
/
rate(http_request_duration_seconds.count[10m])
[1]: https://docs.google.com/document/d/1ch6ru8GKg03N02jRjYriurt-CZqUVY09evPg6yKTA1s/edit
Signed-off-by: beorn7 <beorn@grafana.com>
The Kubernetes service discovery can only add node labels to
targets from the pod role.
This commit extends this functionality to the endpoints and
endpointslices roles.
Signed-off-by: Filip Petkovski <filip.petkovsky@gmail.com>
Since Prometheus documentation is versioned, do not write down that a
specific function was added in Prom 2.0, for consistency.
Signed-off-by: Julien Pivotto <roidelapluie@o11y.eu>
* Provide a callout about the vector matching keywords and the group
modifiers.
Relates prometheus/docs#2106
Signed-off-by: Harold Dost <h.dost@criteo.com>
We always track total samples queried and add those to the standard set
of stats queries can report.
We also allow optionally tracking per-step samples queried. This must be
enabled both at the engine and query level to be tracked and rendered.
The engine flag is exposed via a Prometheus feature flag, while the
query flag is set when stats=all.
Co-authored-by: Alan Protasio <approtas@amazon.com>
Co-authored-by: Andrew Bloomgarden <blmgrdn@amazon.com>
Co-authored-by: Harkishen Singh <harkishensingh@hotmail.com>
Signed-off-by: Andrew Bloomgarden <blmgrdn@amazon.com>
Julien Pivotto