grafana: add detailed memory usage for each instance #18679
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/run-monitor-test |
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Visit the grafana server at: http://172.16.5.5:30112, it will last for 5 hours |
Codecov Report
@@ Coverage Diff @@
## master #18679 +/- ##
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Coverage 79.2151% 79.2151%
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Files 542 542
Lines 146039 146039
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Hits 115685 115685
Misses 21018 21018
Partials 9336 9336 |
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/run-monitor-test |
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Visit the grafana server at: http://172.16.5.5:30752, it will last for 5 hours |
ti-srebot
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Jul 20, 2020
jackysp
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Jul 20, 2020
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/merge |
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/run-all-tests |
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@bobotu merge failed. |
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/merge |
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/run-all-tests |
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@bobotu merge failed. |
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/run-cherry-picker |
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Signed-off-by: ti-srebot <[email protected]>
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cherry pick to release-4.0 in PR #18683 |
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Signed-off-by: ti-srebot <[email protected]>
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What problem does this PR solve?
We do not have a more detailed memory usage information. This PR adds dynamically generated panels for Go memory usage info in each instance.
alloc-from-os
This is the resident memory usage of the process from the operating system's view.
estimate-insue
This is the estimated size of all live objects. At the bottom of the stack, You can see visually how the actual memory used changes。
estimate-garbage
This is the estimated size of garbages will be collected later. Stacked on top of
estimate-insue, In the diagram, its top position is equivalent toheap_inuse.reversed-by-go
This is the memory that can actually be returned to the operating system, but is temporarily reserved by Go Runtime.
used-by-go
This is the off-heap memory used by Go Runtime to maintain internal data structures.
gc-threshold
When
heap_inusewill reach this limit, GC will be triggered. Each red dot on this line means GC has already finished at least once during the metrics scrape interval.Release note