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Continue with installation directions for your specific framework:
Used for visualization aggregate geolocation data. The IP is never stored, and it is never sent to 3rd parties.
We read the IP from the X-Forwarded-For header since in production
one's backend service is most likely behind a reverse proxy of some
sort. We use the left-most value in case there are multiple IPs in it,
since that's most likely not from "our" infra and we don't have to worry
about spoofing too much because it's not used for anything security
related.
Some additional reading about getting the real IP address: https://adam-p.ca/blog/2022/03/x-forwarded-for/
This would happen for the commit that was merged first:
Canceling since a higher priority waiting request for 'ci-' exists
More info: https://docs.github.com/en/actions/using-jobs/using-concurrency#example-using-a-fallback-value
We special case Linux since getting accurate memory usage values on it
is most important. On macOS the memory value returned by os.freemem()
is also inaccurate for similar reasons than on Linux, but it would be
quite rare rare to find it as a production web server's OS. Not sure how
accurate os.freemem() is on other platforms that Node.js supports
either, but should be better than nothing.
Good to note that MemAvailable in /proc/meminfo is only available on
Linux kernel 3.14 and up, but since 3.14 has already reached end of
life we can pretty safely ignore support for systems before it.
Just have to rely on Content-Length headers here since there really didn't seem to be any other reliable way of getting request or response body sizes.
Add first versions of the middleware packages.
Three npm packages:
@apilytics/express for Express@apilytics/next for Next.js@apilytics/core for shared functionality and other Node frameworks100% test coverage, tested against Node.js 12, 14, 16, and 17.
User-Agent information with metrics.inlineSources for source maps.statusCode into an optional parameter in @apilytics/core sendApilyticsMetrics.'event-driven' library aims to simplify building backends in an event driven style(event driven architecture). For message broker, light weight Redis Stream is used and for event store, the well known NoSQL database, MongoDB, is used.
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