TLDR: How can I group a graphite timestamp metric by week/month instead of having it appear day by day for a given time period?
Detail: I have an anomaly I'm interested in investigating but because my report is for a 60 day time period, I'm seeing too many spikes. I'd like to see a 60 day report but aggregate the metrics per week or month. How can I do that?
I've tried the Graphite documentation but cannot seem to find what I'm looking for
The summarize function allows you to choose an aggregation method over a specified time period (day, week, etc). This should be helpful to you here.
Related
I would like to implement this API throttling:
A user can only execute the operation once per minute (once executed, following requests will be rejected for 1 minute)
The expected total number of requests from all users is around 2 per second.
I am using PostgreSQL 14.5.
I guess I will need a table for exclusive processing. What kind of SQL/algorithm should I use?
You could store the latest accepted timestamp in a column. Every time a request is processed, the code could check if the interval between the current timestamp and the last accepted timestamp is less than a minute and reject if so.
I'm not getting expected results with some metrics I am tracking in Graphite and displaying in Grafana.
For metric like:
bitbucket.commits-per-user.username1.count
bitbucket.commits-per-user.username2.count
I have a retention policy like:
[default_bitbucket]
pattern = ^bitbucket\.
retentions = 1m:30d,1h:2y
I am pulling the data from an api, summarizing by the minute that the commit occurred for the user and adding it at with a timestamp of that minute (rounded down to the whole minute).
The storage-aggregation policy I am using is this:
[count_bitbucket]
pattern = ^bitbucket.*\.count$
xFilesFactor = 0
aggregationMethod = sum
I would expect that, once the timeframe exceeds 30 days, and I were running the metric with the function:
summarize(1d,sum,true)
, I would see commits per hour for whatever time period. However, It seems to be reporting significantly less per day once I move beyond 30 days.
Is there anything I am doing obviously wrong?
Could there be a problem if I don't add metrics for zeros on minutes when there are no commits?
I really appreciate any guidance - I'm fairly new to graphite.
I would like Prometheus to scrape metrics every hour and display these hourly scrape events in a table in a Grafana dashboard. I have the global scrape interval set to 1h in the prometheus.yml file. From the prometheus visualizer, it seems like Prometheus scrapes around the 43 minute mark of every hour. However, it also seems like this data is only valid for about 3 minutes: Prometheus graph
My situation, then, is this: In a Grafana table, I set the min step of a query on this metric to 1h, but this causes the table to say that there are no data points. However, if I set the min step to 5 minutes, it displays the hourly scrape events with a timestamp on the 45 minute mark. My guess as to why this happens is that Prometheus starts on the dot of some hour and steps either forward or backward by the min step.
This does achieve what I would like to do, but it also has potential for incorrect behavior if Prometheus ever does something like can been seen at the beginning of the earlier graph. I also know that I can add a time shift, but it seems like it is always relative to the current time rather than an absolute time.
Is it possible to increase the amount of time that the scrape data is valid in Prometheus without having to scrape again every 3 minutes? Or maybe tell Prometheus to scrape at the 00 minute mark of every hour? Or if not, then can I add a relative time shift to the table so that it goes from the 45 minute mark instead of the 00 minute mark?
On a side note, in the above Prometheus graph, the irregular data was scraped after Prometheus was started. I had started Prometheus around 18:30 on the 22nd, but Prometheus didn't scrape until 23:30, and then it scraped at different intervals until it stabilized around 2:43 on the 23rd. Does anybody know why?
Your data disappear because of the staleness strategy implemented in Prometheus. Once a sample has been ingested, the metric is considered stale after 5 minutes. I didn't find any configuration to change that value.
Scraping every hour is not really the philosophy of Prometheus. If your really need to scrape with such a low frequency, it could be a better idea to schedule a job sending the data to a push gateway or using a prom file fed to a node exporter (if it makes sense). You can then scrape this endpoint every 1-2 minutes.
You could also roll your own exporter that memorize the last scrape and scrape anew only if the data age exceeds one hour. (That's the solution I would prefer)
Now, as a quick solution you can request the data over the last hour and average on it. That way, you'll get the last (old) scrape taken into account:
avg_over_time(old_metric[1h])
It should work or have some transient incorrect values if there is some jitters in the scheduling of the scrape.
Regarding the issues you had about late scraping, I suspect the scraping failed at those dates. Prometheus retries only at the next schedule (1h in your case).
If the metric is scraped with intervals exceeding 5 minutes, then Prometheus would return gaps to Grafana because of staleness mechanism. These gaps can be filled with the last raw sample value by wrapping the queried time series into last_over_time function. Just specify the lookbehind window in square brackets, which equals or exceeds the interval between samples. For example, the following query would fill gaps for my_gauge time series with one hour interval between samples:
last_over_time(my_gauge[1h])
See these docs for time durations format, which can be used in square brackets.
I am working with grafana, trying to show a list of pods that are triggering a custom prometheus alert.
This query do the trick:
sum(ALERTS{alertname="myCustomAlert"}) BY (pod_name)
The problem is, it list all the alerts, and don't seems affected if I change the time interval to see only the ones launched in the last 5 minutes, or last hour
There is any way to limit in time the alert list? Lot of thanks!!
That expression will produce the number of alerts by pod_name firing at the current time (just as you would expect up{instance="foo"} to tell you whether instance foo is up now, whether you're looking at a dashboard that shows the last 5 minutes or the last hour).
If you want to see the values change over time, you could e.g. graph it. Then you'd see it change over time. And when the alert started and stopped firing for each pod.
And if you want the value at some past time, simply set the end time of the Grafana dashboard range to that time. (E.g. if your dashboard was showing the time range between 2 PM and 3 PM on January 1st, then your query would return the alerts firing at 3 PM on January 1st.
I am accessing an API hosted by Mashery with the following rate limit:
5 calls per second
10,000 calls per day
Does that imply that I can make 10,000 requests at 6:00PM, and then make another 10,000 requests at midnight? Or, does it mean I can only make 10,000 requests within any 24-hour period?
For example, does it mean that if I make 10,000 requests between 6:00PM one day, and 6:00PM the next, that I have to wait until 6:00:01PM before I can make another request. And then, at most I can make requests at the same rate I made the day prior (as the 24-hour period continuously shifts)?
I apologize if this is off-topic. I have a support request in for clarification, but I don't think they'll get back to me any time soon, and I figured that someone here would be familiar with the limits.
The limit is set per Calendar date and resets every midnight GMT time.
So for example if you made 10,000 calls at 6pm pacific (which is 2am GMT) you would have to wait 22 hours until 4pm pacific (which is midnight GMT) until you can start using your next batch of 10,000 daily calls.
Hope that answers your question.
Thanks,
Shai Simchi
Mashery Customer Support