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nexedi
gitlab-ce
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d392e639
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d392e639
authored
Feb 27, 2020
by
Paul Okstad
Committed by
Russell Dickenson
Mar 27, 2020
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Developer guidelines for correlation IDs
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doc/development/distributed_tracing.md
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d392e639
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@@ -8,7 +8,7 @@ According to [Open Tracing](https://opentracing.io/docs/overview/what-is-tracing
...
@@ -8,7 +8,7 @@ According to [Open Tracing](https://opentracing.io/docs/overview/what-is-tracing
> monitor applications, especially those built using a microservices architecture. Distributed
> monitor applications, especially those built using a microservices architecture. Distributed
> tracing helps to pinpoint where failures occur and what causes poor performance.
> tracing helps to pinpoint where failures occur and what causes poor performance.
Distributed tracing is especially helpful in understanding the lifecycle of a request as it passes
Distributed tracing is especially helpful in understanding the life
cycle of a request as it passes
through the different components of the GitLab application. At present, Workhorse, Rails, Sidekiq,
through the different components of the GitLab application. At present, Workhorse, Rails, Sidekiq,
and Gitaly support tracing instrumentation.
and Gitaly support tracing instrumentation.
...
@@ -16,6 +16,38 @@ Distributed tracing adds minimal overhead when disabled, but imposes only small
...
@@ -16,6 +16,38 @@ Distributed tracing adds minimal overhead when disabled, but imposes only small
enabled and is therefore capable in any environment, including production. For this reason, it can
enabled and is therefore capable in any environment, including production. For this reason, it can
be useful in diagnosing production issues, particularly performance problems.
be useful in diagnosing production issues, particularly performance problems.
## Using Correlation IDs to investigate distributed requests
The GitLab application passes correlation IDs between the various components in a request. A
correlation ID is a token, unique to a single request, used to correlate a single request between
different GitLab subsystems (for example, Rails, Workhorse). Since correlation IDs are included in
log output, Engineers can use the correlation ID to correlate logs from different subsystems and
better understand the end-to-end path of a request through the system. When a request traverses
process boundaries, the correlation ID is injected into the outgoing request. This enables
the propagation of the correlation ID to each downstream subsystem.
Correlation IDs are normally generated in the Rails application in response to
certain webrequests. Some user facing systems don't generate correlation IDs in
response to user requests (for example, Git pushes over SSH).
### Developer guidelines for working with correlation IDs
When integrating tracing into a new system, developers should avoid making
certain assumptions about correlation IDs. The following guidelines apply to
all subsystems at GitLab:
-
Correlation IDs are always optional.
-
Never have non-tracing features depend on the existence of a correlation ID
from an upstream system.
-
Correlation IDs are always free text.
-
Correlation IDs should never be used to pass context (for example, a username or an IP address).
-
Correlation IDs should never be _parsed_, or manipulated in other ways (for example, split).
The
[
LabKit library
](
https://gitlab.com/gitlab-org/labkit
)
provides a standardized interface for working with GitLab's
correlation IDs in the Go programming language. LabKit can be used as a
reference implementation for developers working with tracing and correlation IDs
on non-Go GitLab subsystems.
## Enabling distributed tracing
## Enabling distributed tracing
GitLab uses the
`GITLAB_TRACING`
environment variable to configure distributed tracing. The same
GitLab uses the
`GITLAB_TRACING`
environment variable to configure distributed tracing. The same
...
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