🚀 Feature: Remove old runtime containers after new deployment

### 👟 Reproduction steps - Create Kotlin function, deploy it to server and wait for build to finish - Execute function (can also be done through the console) - Repeat the process multiple times and server RAM will fill up + there will be tons of processes and containers - It can be completely empty function (create with CLI _appwrite init function_), important thing is that deployment and execution are repeated I have more than 20 function so this is faster to reproduce when I deploy all, execute and repeat. So in my case I have to repeat it around 4-5 times for 8GB of RAM to fill up and server become unusable. RAM usage does increase when build is progress which is normal, but it never returns to a starting point after build is finished. Example of htop - RAM is full and CPU is struggling, there is lots of processes and threads - majority of them are _java -jar kotlin-runtime-1.0.0.jar_ <img width="1060" alt="Screenshot 2023-02-07 at 20 26 59" src="https://user-images.githubusercontent.com/5081573/217467335-085f78fe-62bc-4eae-8925-93f398f8d6c0.png"> This is _docker ps_ and you can see here there is tons of _openruntimes/kotlin_ containers that I assume do nothing <img width="1273" alt="Screenshot 2023-02-07 at 20 26 17" src="https://user-images.githubusercontent.com/5081573/217467051-3e87a5a1-873f-4ca6-b137-8a7f0da2871c.png"> I found out that by executing _docker compose restart appwrite-executor_ returns things back to normal. Containers are then stopped, so it will have that delayed first execution. <img width="1100" alt="Screenshot 2023-02-07 at 20 53 40" src="https://user-images.githubusercontent.com/5081573/217467981-08a55528-1fdb-43f0-a453-1e2e314053b7.png"> ### 👍 Expected behavior RAM usage should return to normal after functions are finished building and/or executing. Previous function containers should be removed when new deployment is created. ### 👎 Actual Behavior RAM usage increases significantly with every function execution and function deployment.…