Hi.

We have a pair of Prometheus instances that consume significantly different
amounts of storage. The instances are created by the same StatefulSet
(created by Prometheus-operator), so they are using the same configuration.

Both instances have similar number of samples and series, but instance "0"
consume up to ~50% more storage than instance "1".

$ kubectl exec prometheus-prometheus-0 -- /bin/sh -c "promtool tsdb list ."
BLOCK ULID                  MIN TIME       MAX TIME       DURATION
NUM SAMPLES  NUM CHUNKS   NUM SERIES   SIZE
01GWY0R4N3QG1QJS957XZ0SYP7  1680264000000  1680328800000  18h0m0s
 3296299059   26900037     931315       7259935610
01GX05E79R6WNQ4F6MMB068WJ7  1680328800003  1680393600000  17h59m59.997s
 3312300492   27012299     892364       7265602468
01GX237SWZYZ6X5XXMENGMQ1YM  1680393600002  1680458400000  17h59m59.998s
 3315540127   27036907     894595       7247593445
01GX410BDAPBMPKP100300C7DW  1680458400001  1680523200000  17h59m59.999s
 3320458065   27130364     987454       7328750825
01GX5YTZVD5W97D497JA11CATT  1680523200007  1680588000000  17h59m59.993s
 3318443269   27135815     1007206      7380926789
01GX7WMF1FNJ6MGT0TJY2A5KEM  1680588000001  1680652800000  17h59m59.999s
 3331999517   27259726     1028363      7364976990
01GX9TDYMKVWJ9WYYY7CD8BCWH  1680652800005  1680717600000  17h59m59.995s
 3327868238   27186293     981912       7288127305
01GXBR7FYPSRWA6N6313MMR9BM  1680717600009  1680782400000  17h59m59.991s
 3327937718   27125975     896286       7199443835
01GXDP01QKKXC137B7JJZ6706W  1680782400001  1680847200000  17h59m59.999s
 3333037262   27172805     897459       7194002011
01GXFKTGVZN6RXRM74PXB5E61Q  1680847200001  1680912000000  17h59m59.999s
 3329211104   27134065     879001       7202044230
01GXHHM1JST118SYQNX8Z5W8PX  1680912000004  1680976800000  17h59m59.996s
 3329464442   27131788     876881       7192136400
01GXKFCM51YQFDAWTGP6BBXGQZ  1680976800003  1681041600000  17h59m59.997s
 3329134675   27127804     875877       7197030123
01GXND71ZF62MK8M1DP5E7345M  1681041600011  1681106400000  17h59m59.989s
 3327555787   27119184     887763       7216837469
01GXQB0QJX2T55FBFFSZC9PC4D  1681106400005  1681171200000  17h59m59.995s
 3324035858   27084455     871653       7195109123
01GXS8T0EJXHH2C1B0CBAEPHQB  1681171200011  1681236000000  17h59m59.989s
 3315573555   26493111     989655       6235040678
01GXSXCRNTNDJC359R7160ZEDX  1681236000001  1681257600000  5h59m59.999s
1107306526   9028997      828578       1830084344
01GXSPFKRCVXHRSD2WAFEFM0WD  1681257600005  1681264800000  1h59m59.995s
369706839    3015597      808854       671597409
01GXSXBRED7JT7WJY9318QYKKZ  1681264800002  1681272000000  1h59m59.998s
369661386    3012000      805553       668951473
01GXT47FQYC712E0M6XPSP41FF  1681272000001  1681279200000  1h59m59.999s
369740628    3021714      823966       673649781

$ kubectl exec prometheus-prometheus-1 -- /bin/sh -c "promtool tsdb list ."
BLOCK ULID                  MIN TIME       MAX TIME       DURATION
NUM SAMPLES  NUM CHUNKS   NUM SERIES   SIZE
01GWY0RDK93D2RYJBHJRDMS100  1680264000000  1680328800000  18h0m0s
 3296396516   26926127     957040       4831014683
01GX05ETVBDXMQH0KW9NX7RCPC  1680328800003  1680393600000  17h59m59.997s
 3312324642   27036260     917296       4807892522
01GX2383F7YPDX400MN4DQ9CSX  1680393600002  1680458400000  17h59m59.998s
 3315587751   27059963     918166       4832761551
01GX410PJXX52PKFVH1H205385  1680458400003  1680523200000  17h59m59.997s
 3320397897   27157090     1014022      4890962085
01GX5YVKEAQ6D1NZM1AQW0YJ90  1680523200003  1680588000000  17h59m59.997s
 3318472581   27171422     1042831      4854062752
01GX7WMWV41M3PW3BFV62P0M32  1680588000001  1680652800000  17h59m59.999s
 3331918609   27288755     1056267      4861196239
01GX9TECS126QJM1A1F61GW0ZT  1680652800003  1680717600000  17h59m59.997s
 3328065112   27214643     1008335      4831609465
01GXBR7NZ3RXVSP50V5J2QE4HQ  1680717600003  1680782400000  17h59m59.997s
 3327954927   27159515     929150       4800273178
01GXDP1BCZF7THHQTSK4YGAYX7  1680782400001  1680847200000  17h59m59.999s
 3333181469   27202041     926662       4805982300
01GXFKTTFMZ723VQ94BDY1H1T9  1680847200001  1680912000000  17h59m59.999s
 3329426122   27163849     908757       4715850967
01GXHHMTBPDXX173MD9V1B24E7  1680912000003  1680976800000  17h59m59.997s
 3329413976   27163579     909408       4791199693
01GXKFCZX5HX3KBR82Y5H8DS3D  1680976800003  1681041600000  17h59m59.997s
 3329270278   27160688     908615       4789400558
01GXND7FRJ628BCK936DYH6BVV  1681041600003  1681106400000  17h59m59.997s
 3327613909   27155028     922458       4784598143
01GXQB1BWNS0EDT4TX7HFACWBB  1681106400003  1681171200000  17h59m59.997s
 3324104564   27121755     909230       4777589596
01GXS8TD8CA5E4BPWKY1VXEV71  1681171200003  1681236000000  17h59m59.997s
 3320030145   26512567     1016662      4802788228
01GXSXCQE71EB940GMBPS4NVXV  1681236000001  1681257600000  5h59m59.999s
1107449702   9035526      835180       1609217929
01GXSPFXTNAJCYMSKABCF18YH9  1681257600005  1681264800000  1h59m59.995s
369710007    3018579      811751       607549046
01GXSXBN258J5VHMXR1FG9E84P  1681264800002  1681272000000  1h59m59.998s
369666717    3014789      808149       601091436
01GXT47CA6RV2QPZMVN45EH6CQ  1681272000000  1681279200000  2h0m0s
369734916    3022662      825536       607677006

What can cause this type of effects? As both instances scrape the same
targets, we should achieve the same level of compression of the time series
data (AFAICT).

--
Pelle

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