Hi everyone,
I am having a problem on some of my AppEngine projects, since a few days I
started to I see a lot of errors (which I noticed they might happen when an
health check arrives) in my vm.syslog logs from Stackdriver Logging.
In the specific these are:
- write_gcm: Server response (CollectdTimeseriesRequest) contains
errors:#012{#012 "payloadErrors": [#012 {#012 "index": 71,#012 "error":
{#012 "code": 3,#012 "message": "Expected 4 labels. Found 0. Mismatched
labels for payload [values {\n data_source_name: \"value\"\n
data_source_type: GAUGE\n value {\n double_value: 694411264\n
}\n}\nstart_time {\n seconds: 1513266364\n nanos: 618061284\n}\nend_time
{\n seconds: 1513266364\n nanos: 618061284\n}\nplugin:
\"processes\"\nplugin_instance: \"all\"\ntype: \"ps_rss\"\n] on resource
[type: \"gce_instance\"\nlabels {\n key: \"instance_id\"\n value:
\"xxx\"\n}\nlabels {\n key: \"zone\"\n value: \"europe-west2-a\"\n}\n] for
project xxx"#012 }#012 }#012 ]#012}
- write_gcm: Unsuccessful HTTP request 400: {#012 "error": {#012
"code": 400,#012 "message": "Field timeSeries[11].metric.labels[1] had
an invalid value of \"health_check_type\": Unrecognized metric label.",#012
"status": "INVALID_ARGUMENT"#012 }#012}
- write_gcm: Error talking to the endpoint.
- write_gcm: wg_transmit_unique_segment failed.
- write_gcm: wg_transmit_unique_segments failed. Flushing.
At the same time, I noticed that my Memory Usage in the AppEngine dashboard
for the very same projects is increasing with the passing of time at the
point where it reaches the max amount available and the instance restarts,
throwing a 502 error when visiting the web site that the app is serving.
All this is not happening on a couple of projects that have not been
updated since at least 2 weeks (neither the errors above or the memory
increase) but it does happen on a newly created instance when deployed with
the same codebase of one of the healthy projects. In addition, I don't
happen to see any increase in the memory when running my project locally.
Can someone gently tell me if they experienced something similar or if they
think that the errors and the memory increase are related? I have haven't
changed my yaml file for deployment recently and I haven't specified any
custom configuration for the health checks (which run on legacy mode at the
default rate).
Thank you for your help,
Nicola
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