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${ noResults }
16 Commits (c3922330e9bda6d78aa2f8aa20976aee2d94468f)
Author | SHA1 | Message | Date |
---|---|---|---|
Bjoern Rabenstein | 14bda4180c |
Changes after pair code review.
Change-Id: Ib72d40f8e9027818cfbbd32a7a7201eebda07455 |
10 years ago |
Brian Brazil | 5edf689133 |
Stagger scrapes to spread out load.
Change-Id: Ib141b271e4adfb817886871f86051c207b05cf35 |
10 years ago |
Brian Brazil | 4a2b96f848 |
Remove backoff on scrape failure.
Having metrics with variable timestamps inconsistently spaced when things fail will make it harder to write correct rules. Update status page, requires some refactoring to insert a function. Change-Id: Ie1c586cca53b8f3b318af8c21c418873063738a8 |
10 years ago |
Bjoern Rabenstein | 814e479723 |
Treat non-200 HTTP response as error.
Change-Id: I2a9f3b47012b3c4839be53aa44c66d16dd41a24a |
10 years ago |
Julius Volz | 740d448983 |
Use custom timestamp type for sample timestamps and related code.
So far we've been using Go's native time.Time for anything related to sample timestamps. Since the range of time.Time is much bigger than what we need, this has created two problems: - there could be time.Time values which were out of the range/precision of the time type that we persist to disk, therefore causing incorrectly ordered keys. One bug caused by this was: https://github.com/prometheus/prometheus/issues/367 It would be good to use a timestamp type that's more closely aligned with what the underlying storage supports. - sizeof(time.Time) is 192, while Prometheus should be ok with a single 64-bit Unix timestamp (possibly even a 32-bit one). Since we store samples in large numbers, this seriously affects memory usage. Furthermore, copying/working with the data will be faster if it's smaller. *MEMORY USAGE RESULTS* Initial memory usage comparisons for a running Prometheus with 1 timeseries and 100,000 samples show roughly a 13% decrease in total (VIRT) memory usage. In my tests, this advantage for some reason decreased a bit the more samples the timeseries had (to 5-7% for millions of samples). This I can't fully explain, but perhaps garbage collection issues were involved. *WHEN TO USE THE NEW TIMESTAMP TYPE* The new clientmodel.Timestamp type should be used whenever time calculations are either directly or indirectly related to sample timestamps. For example: - the timestamp of a sample itself - all kinds of watermarks - anything that may become or is compared to a sample timestamp (like the timestamp passed into Target.Scrape()). When to still use time.Time: - for measuring durations/times not related to sample timestamps, like duration telemetry exporting, timers that indicate how frequently to execute some action, etc. *NOTE ON OPERATOR OPTIMIZATION TESTS* We don't use operator optimization code anymore, but it still lives in the code as dead code. It still has tests, but I couldn't get all of them to pass with the new timestamp format. I commented out the failing cases for now, but we should probably remove the dead code soon. I just didn't want to do that in the same change as this. Change-Id: I821787414b0debe85c9fffaeb57abd453727af0f |
11 years ago |
Julius Volz | d69b85e6c9 |
Add global label support via Ingesters.
|
11 years ago |
Matt T. Proud | a5141e4d0a |
Depointerize storage conf. and chain ingester.
The storage builders need to work with the assumption that they have a copy of the underlying configuration data if any mutations are made. |
11 years ago |
Julius Volz | 3b970c5133 |
Add variable interpolation to notification messages.
This includes required refactorings to enable replacing the http client (for testing) and moving the NotificationReq type definitions to the "notifications" package, so that this package doesn't need to depend on "rules" anymore and that it can instead use a representation of the required data which only includes the necessary fields. |
11 years ago |
Matt T. Proud | 30b1cf80b5 |
WIP - Snapshot of Moving to Client Model.
|
12 years ago |
Julius Volz | d8110fcd9c |
Send sample arrays instead of single samples over channels.
|
12 years ago |
Matt T. Proud | 6fac20c8af |
Harden the tests against OOMs.
This commit employs explicit memory freeing for the in-memory storage arenas. Secondarily, we take advantage of smaller channel buffer sizes in the test. |
12 years ago |
Bernerd Schaefer | b8bc91d6c0 |
Target test uses correct telemetry headers
|
12 years ago |
Bernerd Schaefer | 3929582892 |
Target uses HTTP transport with deadlines
Instead of externally handling timeouts when scraping a target, we set timeouts on the HTTP connection. This ensures that we don't leak goroutines on timeouts. [fixes #181] |
12 years ago |
Julius Volz | d4ff85db5a |
Add instance label to health (up) timeseries.
|
12 years ago |
Julius Volz | 8c9e9632a8 |
Record scrape health timeseries per target.
|
12 years ago |
Julius Volz | 047eb219e4 |
Fix target health state update.
Right now, futureState is only used to give hints to the health scheduler, but nowhere is this future state persisted into the target's state field, so we don't actually track a target's state over time. |
12 years ago |