I am running Dotnet Core 2.2 in a Linux container in Docker.
I've tried many different configuration/environment options - but I keep coming back to the same problem of running out of memory ('docker events' reports an OOM).
In production I'm hosting on Ubuntu. For Development, I'm using a Linux container (MobyLinux) on Docker in Windows.
I've gone back to running the Web API template project, rather than my actual app. I am literally returning a string and doing nothing else. If I call it about 1,000 times from curl, the container will die. The garbage collector does not appear to be working at all.
Tried setting the following environment variables in the docker-compose:
DOTNET_RUNNING_IN_CONTAINER=true DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=true ASPNETCORE_preventHostingStartup=true
Also tried the following in the docker-compose:
mem_reservation: 128m mem_limit: 256m memswap_limit: 256m
(these only make it die faster)
Tried setting the following to true or false, no difference:
ServerGarbageCollection
I have tried instead running as a Windows container, this doesn't OOM - but it does not seem to respect the memory limits either.
I have already ruled out use of HttpClient and EF Core - as I'm not even using them in my example. I have read a bit about listening on port 443 as a problem - as I can leave the container running idle all day long, if I check at the end of the day - it's used up some more memory (not a massive amount, but it grows).
Example of what's in my API:
// GET api/values/5 [HttpGet("{id}")] public ActionResult<string> Get(int id) { return "You said: " + id; }
Calling with Curl example:
curl -X GET "https://localhost:44329/api/values/7" -H "accept: text/plain" --insecure
(repeated 1,000 or so times)
Expected: RAM usage to remain low for a very primitive request
Actual: RAM usage continues to grow until failure
Full Dockerfile:
FROM microsoft/dotnet:2.2-aspnetcore-runtime AS base WORKDIR /app EXPOSE 80 EXPOSE 443 FROM microsoft/dotnet:2.2-sdk AS build WORKDIR /src COPY ["WebApplication1/WebApplication1.csproj", "WebApplication1/"] RUN dotnet restore "WebApplication1/WebApplication1.csproj" COPY . . WORKDIR "/src/WebApplication1" RUN dotnet build "WebApplication1.csproj" -c Release -o /app FROM build AS publish RUN dotnet publish "WebApplication1.csproj" -c Release -o /app FROM base AS final WORKDIR /app COPY --from=publish /app . ENTRYPOINT ["dotnet", "WebApplication1.dll"]
docker-compose.yml
version: '2.3' services: webapplication1: image: ${DOCKER_REGISTRY-}webapplication1 mem_reservation: 128m mem_limit: 256m memswap_limit: 256m cpu_percent: 25 build: context: . dockerfile: WebApplication1/Dockerfile
docker-compose.override.yml
version: '2.3' services: webapplication1: environment: - ASPNETCORE_ENVIRONMENT=Development - ASPNETCORE_URLS=https://+:443;http://+:80 - ASPNETCORE_HTTPS_PORT=44329 - DOTNET_RUNNING_IN_CONTAINER=true - DOTNET_SYSTEM_GLOBALIZATION_INVARIANT=true - ASPNETCORE_preventHostingStartup=true ports: - "50996:80" - "44329:443" volumes: - ${APPDATA}/ASP.NET/Https:/root/.aspnet/https:ro - ${APPDATA}/Microsoft/UserSecrets:/root/.microsoft/usersecrets:ro
I'm running Docker CE Engine 18.0.9.1 on Windows and 18.06.1 on Ubuntu. To confirm - I have also tried in Dotnet Core 2.1.
I've also given it a try in IIS Express - the process gets to around 55MB, that's literally spamming it with multiple threads, etc.
When they're all done, it goes down to around 29-35MB.
By default, if an out-of-memory (OOM) error occurs, the kernel kills processes in a container. To change this behavior, use the --oom-kill-disable option. Only disable the OOM killer on containers where you have also set the -m/--memory option.
The --memory parameter limits the container memory usage, and Docker will kill the container if the container tries to use more than the limited memory.
By default, Docker containers have access to the full RAM and CPU resources of the host. Leaving them to run with these default settings may lead to performance bottlenecks. If you don't limit Docker's memory and CPU usage, Docker can use all the systems resources.
By default, Docker does not apply memory limitations to individual containers. Containers can consume all available memory of the host.
This could be because garbage collection (GC) is not executed.
Looking at this open issue it looks very similar:
https://github.com/dotnet/runtime/issues/851
One solution that made Ubuntu 18.04.4
work on a virtualized machine was using Workstation garbage collection (GC):
<PropertyGroup> <ServerGarbageCollection>false</ServerGarbageCollection> </PropertyGroup>
https://github.com/dotnet/runtime/issues/851#issuecomment-644648315
https://github.com/dotnet/runtime/issues/851#issuecomment-438474207
https://docs.microsoft.com/en-us/dotnet/standard/garbage-collection/workstation-server-gc
This is another finding:
After further investigations I've noticed that there is big difference between my servers in amount of available logical CPUs count (80 vs 16). After some googling I came across this topic dotnet/runtime#622 that leads me to an experiments with CPU/GC/Threads settings.
I was using --cpus constraint in stack file; explicitly set System.GC.Concurrent=true, System.GC.HeapCount=8, System.GC.NoAffinitize=true, System.Threading.ThreadPool.MaxThreads=16 in
runtimeconfig.template.json
file; update image to a 3.1.301-bionic sdk and 3.1.5-bionic asp.net runtime — I made all this things in a various combinations and all of this had no effect. Application just hangs until gets OOMKilled.The only thing that make it work with Server GC is
--cpuset-cpus
constraint. Of course, explicit setting of available processors is not an option for a docker swarm mode. But I was experimenting with available cpus to find any regularity. And here I got a few interesting facts.What is interesting, previously I have mirgated 3 other backend services to a new servers cluster and they all go well with a default settings. Their memory limit is set to
600 Mb
but in fact they need about400 Mb
to run. Things go wrong only with memory-consuming applications (I have two of those), it requires3 Gb
to build in-memory structures and runs with a6 Gb
constraint.It keeps working in any range between
[1, 35]
available cpus and gets hanging when cpus count is36
.
https://github.com/dotnet/runtime/issues/851#issuecomment-645237830
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