goruntime | tiny docker image for running go applications | Continuous Deployment library
kandi X-RAY | goruntime Summary
kandi X-RAY | goruntime Summary
Go applications are mostly statically compiled. This Dockerfile builds a tiny base docker image that allows such applications to run without having to pull a large image with an entire OS. This will result in a new image daaku/goruntime which can be used as the base image for your go application. Alternatively use this as a starting point to build your own tiny images.
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goruntime Key Features
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QUESTION
In the kubernetes source code there is a block of code that handles the profiling part but I can not acces the endpoints:
...ANSWER
Answered 2021-Jun-11 at 13:29Try:
QUESTION
On my machine there are 4 logical processors. so there are four contexts P1
, P2
, P3
& P4
working with OS threads M1
, M2
, M3
& M4
ANSWER
Answered 2020-May-09 at 01:33No, it doesn't block. My rough (and unsourced, I picked it up through osmosis) understanding is that whenever a goroutine wants to perform a "blocking" I/O that has an equivalent non-blocking version,
- Performs a non-blocking version instead.
- Records its own ID in a table somewhere keyed by the handle it is "blocking" on.
- Transfers responsibility for the completion to a dedicated thread which sits in a
select
loop (orpoll
or whatever equivalent is available) waiting for such operations to unblock, and - Suspends itself, freeing up its OS thread (M) to run another goroutine.
When the I/O operation unblocks, the select-loop looks in the table to figure out which goroutine was interested in the result, and schedules it to be run. In this way, goroutines waiting for I/O do not occupy an OS thread.
In case of I/O that can't be done non-blockingly, or any other blocking syscall, the goroutine executes the syscall through a runtime function that marks its thread as blocked, and the runtime will create a new OS thread for goroutines to be scheduled on. This maintains the ability to have GOMAXPROCS running (not blocked) goroutines. This doesn't cause very much thread bloat for most programs, since the most common syscalls for dealing with files, sockets, etc. have been made async-friendly. (Thanks to @JimB for reminding me of this, and the authors of the helpful linked answers.)
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