Outcomes for Docker in the context of the HelixML services project:
- Building HelixML services with Docker: Docker can be used to build HelixML services in a containerized environment. This allows for consistent and reproducible builds across different machines and platforms. Here’s an example of a Dockerfile that builds a HelixML service:
# Use an official Go runtime as the base image
FROM golang:1.17 as builder
# Set the working directory to /app
WORKDIR /app
# Copy the current directory contents into the container at /app
COPY . /app
# Install necessary dependencies
RUN go get -d -v github.com/helixml/helix
# Build the HelixML service
RUN CGO_ENABLED=0 GOOS=linux go build -a -installsuffix cgo -o main .
# Switch to a non-Go runtime
FROM alpine:latest
# Copy the HelixML service binary from the builder stage
COPY --from=builder /app/main /usr/local/bin/helixml-service
# Set the working directory to /root
WORKDIR /root
# Expose the HelixML service port
EXPOSE 8080
# Run the HelixML service
CMD ["/usr/local/bin/helixml-service"]
Source: https://github.com/helixml/helix/
- Running HelixML services with Docker: Docker can be used to run HelixML services in a containerized environment. This allows for easy deployment and management of HelixML services. Here’s an example of running a HelixML service with Docker:
$ docker run -p 8080:8080 -d helixml-service
Source: https://github.com/helixml/helix/
- Managing HelixML services with Docker: Docker can be used to manage HelixML services in a containerized environment. This includes tasks such as scaling, updating, and monitoring HelixML services. Here’s an example of scaling a HelixML service with Docker Swarm:
$ docker service create --name helixml-service --replicas 3 -p 8080:8080 helixml-service
Source: https://docs.docker.com/engine/swarm/
These are some of the possible options for using Docker with HelixML services. Docker provides a powerful and flexible platform for building, running, and managing HelixML services.
