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tailscale/logtail
Joe Tsai 84c99fe0d9
logtail: be less aggressive about re-uploads (#8117)
The retry logic was pathological in the following ways:

* If we restarted the logging service, any pending uploads
would be placed in a retry-loop where it depended on backoff.Backoff,
which was too aggresive. It would retry failures within milliseconds,
taking at least 10 retries to hit a delay of 1 second.

* In the event where a logstream was rate limited,
the aggressive retry logic would severely exacerbate the problem
since each retry would also log an error message.
It is by chance that the rate of log error spam
does not happen to exceed the rate limit itself.

We modify the retry logic in the following ways:

* We now respect the "Retry-After" header sent by the logging service.

* Lacking a "Retry-After" header, we retry after a hard-coded period of
30 to 60 seconds. This avoids the thundering-herd effect when all nodes
try reconnecting to the logging service at the same time after a restart.

* We do not treat a status 400 as having been uploaded.
This is simply not the behavior of the logging service.

Updates #tailscale/corp#11213

Signed-off-by: Joe Tsai <joetsai@digital-static.net>
2 years ago
..
backoff all: update copyright and license headers 2 years ago
example all: replace logtail.{Public,Private}ID with logid.{Public,Private}ID (#7404) 2 years ago
filch all: use tstest.Replace more 2 years ago
.gitignore Move Linux client & common packages into a public repo. 5 years ago
README.md Move Linux client & common packages into a public repo. 5 years ago
api.md all: replace logtail.{Public,Private}ID with logid.{Public,Private}ID (#7404) 2 years ago
buffer.go all: update copyright and license headers 2 years ago
logtail.go logtail: be less aggressive about re-uploads (#8117) 2 years ago
logtail_test.go types/logid: simplify implementation (#7415) 2 years ago

README.md

Tailscale Logs Service

This github repository contains libraries, documentation, and examples for working with the public API of the tailscale logs service.

For a very quick introduction to the core features, read the API docs and peruse the logs reprocessing example.

For more information, write to info@tailscale.io.