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Install Visual studio code insider version VS Code insider verion support jupyter notebooks
# Run make to see the list of available commands
$ make
help This help.
print-env Print Env
docker-build Builds docker image
docker-push Docker: push docker images
docker-compose-rebuild-service Rebuild docker compose service: make docker-compose-rebuild-service service=backend-go
docker-compose Run docker compose action: make docker-compose up/down
docker-compose-tail-logs Tails docker logs: make docker-compose-tail-logs service=training
docker-exec Exec into a docker container: make docker-exec service=training
# Start the docker service
$ make docker-compose action=up
docker network create training | true
echo "Running docker command up"; \
if [ "up" == "up" ]; then \
docker compose up -d; \
else \
docker compose up; \
fi
Running docker command up
[+] Running 2/2
⠿ Network training_training Created 0.1s
⠿ Container training_training_1 Started
# Tail the docker service logs
$ make docker-compose-tail-logs service=training
docker context use default
default
docker-compose logs -f --tail=10 training
training_1 | tail: cannot open 'anything' for reading: No such file or directory
^Ccanceled
# Login do docker service container to check the workspace directory
$ make docker-exec service=training
docker exec -it `docker ps -aqf "name=training_training_1"` sh
$ cd workspace
$ ls
docker-compose.yaml Dockerfile favicon.ico Makefile README.md training-ansible training-hugo training-py
Description | Link |
---|---|
Sravz Analytics Platform | Sravz Website |
Sravz General Documentation | Sravz Documentation |
Sravz Tech Documentation | Sravz Tech Documentation |
Sravz Recruitment Services | Sravz Jobs |