Dockerizing Go Applications: A Step-by-Step Guide

Docker empowers developers to encapsulate their applications and dependencies into self-contained images, ensuring seamless deployment across diverse environments, and thus freeing you from infrastructure concerns.

The process involves writing a Dockerfile, building a Docker image, and then running it as a container. This guide specifically focuses on preparing Docker images for Go applications in development and production contexts.

By the end, you'll possess the knowledge to run Go applications confidently within containers either locally or on your chosen deployment platform.

Let's get started!

Prerequisites

• Prior Go development experience.
• Familiarity with the Linux command-line.
• Access to a Linux machine with Docker Engine installed.

Step 1 — Setting up the demo project

To demonstrate Go application development and deployment with Docker, I'll assume you already have a Go application ready. If not, you can clone the Blogging application prepared for this demonstration to your computer. It's a simple CRUD application that persists created posts to a PostgreSQL database.

Our goal is to containerize this Go application using Docker, making it easily deployable in various environments.

Execute the command below to clone the application from GitHub:

git clone https://github.com/betterstack-community/go-blog

Then navigate into the project directory and install its dependencies:

cd go-blog

go mod download

Once the dependencies are installed, build the application with:

go build -o bin/go-blog

You will see a new go-blog binary within your current working directory's bin folder. Before you execute the binary, let's set up a PostgreSQL database through the official PostgreSQL Docker image. Without an active PostgreSQL instance, the blogging application will fail to work.

Open a separate terminal and run the command below to launch a PostgreSQL container based on the Bookworm variant of the image:

docker run \
  --rm \
  --name go-blog-db \
  --env POSTGRES_PASSWORD=admin \
  --env POSTGRES_DB=go-blog \
  --volume pg-data:/var/lib/postgresql/data \
  --publish 5432:5432 \
  postgres:bookworm

This command sets up a PostgreSQL container named go-blog-db, removes it upon stopping (--rm), and maps port 5432 to your host machine. It also sets the default database name to go-blog and the password for the default postgres user to admin.

You should see the following log entry confirming that the database is ready to accept connections:

. . .
2024-08-12 12:11:51.257 UTC [1] LOG:  database system is ready to accept connections

With the database now running, return to your project directory in a different terminal and rename the .env.sample file to .env:

mv .env.sample .env

Open the .env file in your text editor and populate it with the contents below. The POSTGRES_DB and POSTGRES_PASSWORD variables should correspond to the values used when starting the PostgreSQL container.

GO_ENV=development
PORT=8000
LOG_LEVEL=info
POSTGRES_DB=go-blog
POSTGRES_USER=postgres
POSTGRES_PASSWORD=admin
POSTGRES_HOST=localhost

Once you're done, return to the terminal to run the database migrations. Our demo project has just one migration file, which creates the posts table if it doesn't already exist:

CREATE TABLE IF NOT EXISTS posts (
    id SERIAL PRIMARY KEY,
    title VARCHAR(255) NOT NULL,
    content TEXT NOT NULL,
    created_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT now(),
    updated_at TIMESTAMP WITH TIME ZONE NOT NULL DEFAULT now(),
    deleted_at TIMESTAMP WITH TIME ZONE
);

To apply the migration, you must install golang-migrate first, then execute:

migrate -path repository/migrations/ -database "postgresql://<POSTGRES_USER>:<POSTGRES_PASSWORD>@<POSTGRES_HOST>/<POSTGRES_DB>?sslmode=disable" up

Ensure to replace the placeholders above with the appropriate values. In my case, it will be:

migrate -path repository/migrations/ -database "postgresql://postgres:admin@localhost:5432/go-blog?sslmode=disable" up

You will see the following message if the migration succeeds:

1/u create_posts_table (54.393139ms)

Finally, launch the application with:

./bin/go-blog

The following message confirms that the application is listening for connections on port 8000:

Server started on port 8000

To confirm that everything works, visit http://localhost:8000 in your browser:

Create a new post to test out its functionality:

You should see the new post on the application home page:

Now that you've confirmed the functionality of your Go application, let's proceed to the next step where you'll create a Dockerfile for the project.

Step 2 — Writing a Dockerfile for your Go app

Before you can build a Docker image for your Go application, you need to create a Dockerfile. This text file guides the Docker engine through the process of assembling the image that will encapsulate your application and its runtime environment.

The format of the Dockerfile is shown below:

# Comment
COMMAND arguments

Any line starting with # denotes a comment (except parser directives). Other lines must include a specific command, followed by its corresponding arguments. Although command names are not case-sensitive, they are commonly capitalized to differentiate them from arguments.

Here's the Dockerfile for our blog application in full:

# Use Go 1.23 bookworm as base image
FROM golang:1.23-bookworm AS base

# Move to working directory /build
WORKDIR /build

# Copy the go.mod and go.sum files to the /build directory
COPY go.mod go.sum ./

# Install dependencies
RUN go mod download

# Copy the entire source code into the container
COPY . .

# Build the application
RUN go build -o go-blog

# Document the port that may need to be published
EXPOSE 8000

# Start the application
CMD ["/build/go-blog"]

This Dockerfile packages a Go application and its dependencies into a Docker image. Here's a line-by-line explanation of its contents:

FROM golang:1.23-bookworm AS base

This line sets the foundation for your Docker image. It specifies that the image will be built upon the official Go image using Debian's Bookworm release as its base.

While you will commonly see Alpine Linux being used as the base for Docker images due to its small size, it's worth considering that its use can come with potential drawbacks.

Notably, Alpine's reliance on musl libc instead of the prevalent glibc can create compatibility hurdles for some software, potentially triggering unexpected errors or crashes. This is especially likely to occur if your Go application necessitates CGO_ENABLED=1.

Moreover, Alpine has a history of encountering DNS resolution issues with certain hostnames, which can impede network connectivity and disrupt the smooth operation of applications.

Therefore, it's generally recommended to select a more mainstream base image such as Debian or Ubuntu. These distributions provide superior compatibility and stability, potentially sparing you from time-consuming troubleshooting efforts in the future.

We'll address the optimization of the final image size through the implementation of multi-stage builds in a subsequent section of this tutorial.

WORKDIR /build

The WORKDIR instruction sets the working directory inside the container to /build. All subsequent commands will be executed within this directory unless explicitly stated otherwise.

COPY go.mod go.sum ./

This copies the go.mod and go.sum files from your project directory into the /build directory within the image.

RUN go mod download

This command downloads all the dependencies listed in the previously copied go.mod and go.sum files, ensuring they are available for the subsequent build step.

COPY . .

This copies all files and directories from your current local directory into the /build directory within the image.

RUN go build -o go-blog

The next step is to compile your Go application by executing the go build command. The resulting executable is named go-blog.

EXPOSE 8000

This line informs Docker that the containerized application will likely listen on port 8000. You'll still need to use the -p flag to publish the container port and map it to a host port.

CMD ["/build/go-blog"]

Finally, the CMD instruction specifies the default command to be executed when a container is started from this image. In this case, it executes the go-blog executable.

With these instructions in place, you're ready to build the Docker image.

Step 3 — Building the Docker image and launching a container

With your Dockerfile ready, it's time to build the Docker image. However, let's create a .dockerignore file in your project's root directory first. This file instructs Docker to exclude the specified files and directories from the build context to prevent unnecessary or sensitive files from accidentally being included.

In our case, let's ignore the bin and .git directories, and any sensitive configuration files:

# Go build output
bin/

# Git metadata
.git/

# Sensitive configuration
*.env

One you've saved the file, build the Docker image by executing:

docker build . -t go-blog

The -t flag assigns the go-blog name to the image. You can also add a version tag, such as 0.1.0, using the command below:

docker build . -t go-blog:0.1.0

Without a tag, Docker defaults to latest.

After the build completes, confirm that the new image is present in your local image library:

docker image ls go-blog

REPOSITORY   TAG       IMAGE ID       CREATED         SIZE
go-blog      latest    9075f0b2ee42   6 minutes ago   1.06GB

This image is quite large at 1.06GB, but you will see how to reduce it significantly in Step 6 of this tutorial.

For now though, let's launch a Docker container based on the go-blog image. Before proceeding, be sure to stop any currently running instance of the Go application with Ctrl-C, but keep your PostgreSQL container running as before.

Execute the following command to launch the container for your application:

docker run --rm --name go-blog-app --publish 8000:8000 --env-file .env go-blog

This command creates a go-blog-app container from your go-blog image. The --rm flag ensures the container is automatically removed when stopped, while the --publish 8000:8000 part maps port 8000 inside the container to port 8000 on the host machine.

The --env-file flag provides a handy way to configure your Go application within the container through an .env file without exposing application secrets in the Docker image.

However, you will observe the following error:

2024/08/13 09:51:30 Unable to connect to database:failed to connect to `user=postgres database=go-blog`:
        127.0.0.1:5432 (localhost): dial error: dial tcp 127.0.0.1:5432: connect: connection refused
        [::1]:5432 (localhost): dial error: dial tcp [::1]:5432: connect: connection refused

This happens because your Go application is trying to establish a connection with a PostgreSQL database assumed to be running on localhost within the go-blog-app Docker container. Since there's no PostgreSQL instance active inside that container, it predictably fails.

To facilitate communication between your Go application container and your PostgreSQL container, you need to use the container name (go-blog-db in this case) as the database host instead of localhost, then create a dedicated Docker network, and ensure both containers are placed on the network through the --network option.

Enter the following command below to create the network:

docker network create go-blog-network

8cc2f57070e04be1add3b66fa8ce785f1d620e47972b2c4210aab4d3c3fd1f40

With the go-blog network created, stop the existing PostgreSQL container instance and restart it on the new network through the --network option:

docker container stop go-blog-db

docker run \
  --rm \
  --name go-blog-db \
  --env POSTGRES_PASSWORD=admin \
  --env POSTGRES_DB=go-blog \
  --volume pg-data:/var/lib/postgresql/data \
  --publish 5432:5432 \
  --network go-blog-network \
  postgres:bookworm

Once its up and running once again, update your project's .env file as follows:

GO_ENV=development
PORT=8000
LOG_LEVEL=info
POSTGRES_DB=go-blog
POSTGRES_USER=postgres
POSTGRES_PASSWORD=admin
POSTGRES_HOST=go-blog-db

The POSTGRES_HOST environment variable has been changed from localhost to the name of your database container (go-blog-db). This change allows the application container to find the PostgreSQL instance running in the separate database container once you apply the --network option:

docker run \
  --rm \
  --name go-blog-app \
  --publish 8000:8000 \
  --env-file .env \
  --network go-blog-network \
  go-blog

It should launch successfully now:

Server started on port 8000

You can now interact with the application at http://localhost:8000 once again and it should keep working the same way as before.

Step 4 — Configuring up a web server

Web servers such as Nginx or Caddy are often deployed in front of Go applications to handle tasks like load balancing, reverse proxying, serving static assets, SSL, and caching. This allows the application to focus on the main business logic, while the web server handles the ancillary tasks in a more robust and scalable manner.

In this section, we'll configure Caddy as a reverse proxy for our Go application. Ensure that both the Go application and the PostgreSQL containers are running, then open a new terminal and launch a container based on the official Caddy Docker image with:

docker run --rm --name go-blog-caddy -p 80:80 caddy

. . .
{"level":"info","ts":1723543833.3596091,"msg":"serving initial configuration"}
{"level":"info","ts":1723543833.3660367,"logger":"tls","msg":"cleaning storage unit","storage":"FileStorage:/data/caddy"}
{"level":"info","ts":1723543833.366192,"logger":"tls","msg":"finished cleaning storage u

Once the "serving initial configuration" message appears, visiting http://localhost in your browser will display the default "Caddy works!" page:

Terminate the container with Ctrl-C, and then create a Caddyfile in your project's root:

http://localhost {
    reverse_proxy go-blog-app:8000
}

This configures Caddy to listen on http://localhost and forward all incoming requests to the go-blog-app container, which is expected to be listening on port 8000.

To witness the effect, relaunch the Caddy container with these additions for persistent storage and network integration:

docker run \
   --rm \
   --name go-blog-caddy \
   -p 80:80 \
   -v caddy-config:/config \
   -v caddy-data:/data \
   -v $(pwd)/Caddyfile:/etc/caddy/Caddyfile \
   --network go-blog-network \
   caddy

This command now incorporates:

• Persistent volumes (caddy-config and caddy-data) to store Caddy's configuration and data, respectively.
• A custom Caddyfile configuration.
• The go-blog-network facilitating communication with your Go application container.

At this stage, accessing http://localhost should present your Go application, served through Caddy.

Step 5 — Orchestrating multiple containers with Docker Compose

Managing multiple containers can be cumbersome, especially for applications comprising several microservices running independently. This is where Docker Compose steps in.

It offers a structured approach to managing multi-container applications by defining component services, networks, and volumes in a single YAML configuration file. Then you can launch or stop all the services defined in your configuration file with a single command.

Let's create a docker-compose.yml file in your project's root to orchestrate your Go application and its dependencies:

code docker-compose.yml

services:
  app:
    build:
      context: .
    container_name: go-blog-app
    environment:
      PORT: ${PORT}
      LOG_LEVEL: ${LOG_LEVEL}
      POSTGRES_HOST: ${POSTGRES_HOST}
      POSTGRES_DB: ${POSTGRES_DB}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_USER: ${POSTGRES_USER}
    env_file:
      - ./.env
    depends_on:
      postgres:
        condition: service_healthy
    networks:
      - go-blog-network

  caddy:
    image: caddy
    container_name: go-blog-caddy
    depends_on:
      - app
    ports:
      - 80:80
    volumes:
      - caddy-config:/config
      - caddy-data:/data
      - ./Caddyfile:/etc/caddy/Caddyfile:ro
    networks:
      - go-blog-network

  postgres:
    image: postgres:bookworm
    restart: always
    container_name: go-blog-db
    env_file:
      - ./.env
    environment:
      POSTGRES_USER: ${POSTGRES_USER}
      POSTGRES_DB: ${POSTGRES_DB}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
    healthcheck:
      test: [CMD-SHELL, "sh -c 'pg_isready -U ${POSTGRES_USER} -d ${POSTGRES_DB}'"]
      interval: 10s
      timeout: 5s
      retries: 5
    ports:
      - 5432:5432
    volumes:
      - pg-data:/var/lib/postgresql/data
    networks:
      - go-blog-network

volumes:
  pg-data:
  caddy-config:
  caddy-data:

networks:
  go-blog-network:

This configuration defines three services:

• app: Your Go application, dependent on a healthy postgres service.
• caddy: A Caddy web server acting as a reverse proxy, serving on port 80 and using a custom Caddyfile.
• postgres: A PostgreSQL database, configured with specific settings and a health check.

These are the three services we've been manually launching with docker run in the previous sections. They share the go-blog-network and utilize volumes for data persistence.

Placeholders are used for environment variables, which are populated from your .env file when the containers start. Notably, your Go app's port is no longer directly exposed, making the app accessible only via Caddy at http://localhost.

Before starting the services with docker compose, stop and remove the existing containers with:

docker stop go-blog-db go-blog-app go-blog-caddy

Now, launch all three services using Compose:

docker compose up --build

This builds the app image and starts all three services in the foreground, displaying their logs:

. . .
go-blog-db     | 2024-08-13 11:10:21.712 UTC [29] LOG:  database system was shut down at 2024-08-13 11:08:18 UTC
go-blog-db     | 2024-08-13 11:10:21.723 UTC [1] LOG:  database system is ready to accept connections
go-blog-app    | Server started on port 8000
go-blog-caddy  | {"level":"info","ts":1723547432.817205,"msg":"using config from file","file":"/etc/caddy/Caddyfile"}
go-blog-caddy  | {"level":"info","ts":1723547432.818028,"msg":"adapted config to JSON","adapter":"caddyfile"}
go-blog-caddy  | {"level":"info","ts":1723547432.8187122,"logger":"admin","msg":"admin endpoint started","address":"localhost:2019","enforce_origin":false,"origins":["//127.0.0.1:2019","//lo
calhost:2019","//[::1]:2019"]}
. . .

Now refresh the http://localhost web page:

The posts database table appears to be missing because we didn't run the database migrations like we did earlier in Step 1.

However, instead of manually invoking the migrate command once again, let's add a migrate service to the docker-compose.yml file that automatically launches a container to execute the migrations:

. . .

  migrate:
    image: migrate/migrate
    container_name: go-blog-migrate
    depends_on:
      postgres:
        condition: service_healthy
    networks:
      - go-blog-network
    volumes:
      - ./repository/migrations/:/migrations
    command: ["-path", "/migrations/", "-database", "postgres://${POSTGRES_USER}:${POSTGRES_PASSWORD}@go-blog-db/${POSTGRES_DB}?sslmode=disable", "up"]

volumes:
  pg-data:
  caddy-config:
  caddy-data:

networks:
  go-blog-network:

The migrate service utilizes the migrate/migrate Docker image to automate database migrations. It waits for the PostgreSQL database to be healthy, then applies any pending "up" migrations from your local repository/migrations directory to the database, ensuring that its structure stays aligned with your application's code.

Instead of depending on the postgres service, update the app service to start when the migrate service exits successfully:

services:
  app:
    build:
      context: .
    container_name: go-blog-app
    environment:
      PORT: ${PORT}
      LOG_LEVEL: ${LOG_LEVEL}
      POSTGRES_HOST: ${POSTGRES_HOST}
      POSTGRES_DB: ${POSTGRES_DB}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_USER: ${POSTGRES_USER}
    env_file:
      - ./.env
    depends_on:
      migrate:
        condition: service_completed_successfully
    networks:
      - go-blog-network

. . .

Return to your terminal and stop the existing services with:

docker compose down

[+] Running 4/4
 ✔ Container go-blog-caddy          Removed                      0.3s
 ✔ Container go-blog-app            Removed                      0.2s
 ✔ Container go-blog-db             Removed                      0.3s
 ✔ Network go-blog_go-blog-network  Removed                      0.4

Relaunch the services once again by executing:

docker compose up --build

You will observe that the migration ran successfully before the app service was launched:

. . .
go-blog-db       | 2024-08-13 12:59:11.465 UTC [1] LOG:  database system is ready to accept connections
go-blog-migrate  | 1/u create_posts_table (55.800791ms)
go-blog-migrate exited with code 0
go-blog-app      | Server started on port 8000
go-blog-caddy    | {"level":"info","ts":1723553953.7705374

When you return to the application user interface, it will load successfully, and you can create blog posts as before.

There you have it! You can now manage all your services and their dependencies with a single command, streamlining your development and deployment workflow.

Let's now explore developing your application directly within Docker for an even better development experience!

Step 6 — Creating a Docker-driven Go development workflow

Now that you've containerized your application and orchestrated its services with Docker Compose, let's turn Docker into a productive development environment for Go applications by integrating live reloading, while reducing the image size for production builds.

Begin by modifying your Dockerfile to utilize multi-stage builds:

# Use Go 1.23 bookworm as base image
FROM golang:1.23-bookworm AS base

# Development stage
# =============================================================================
# Create a development stage based on the "base" image
FROM base AS development

# Change the working directory to /app
WORKDIR /app

# Install the air CLI for auto-reloading
RUN go install github.com/air-verse/air@latest

# Copy the go.mod and go.sum files to the /app directory
COPY go.mod go.sum ./

# Install dependencies
RUN go mod download

# Start air for live reloading
CMD ["air"]

# Builder stage
# =============================================================================
# Create a builder stage based on the "base" image
FROM base AS builder

# Move to working directory /build
WORKDIR /build

# Copy the go.mod and go.sum files to the /build directory
COPY go.mod go.sum ./

# Install dependencies
RUN go mod download

# Copy the entire source code into the container
COPY . .

# Build the application
# Turn off CGO to ensure static binaries
RUN CGO_ENABLED=0 go build -o go-blog

# Production stage
# =============================================================================
# Create a production stage to run the application binary
FROM scratch AS production

# Move to working directory /prod
WORKDIR /prod

# Copy binary from builder stage
COPY --from=builder /build/go-blog ./

# Document the port that may need to be published
EXPOSE 8000

# Start the application
CMD ["/prod/go-blog"]

In this improved Dockerfile, we've introduced a development stage which uses the air CLI for a seamless code-edit-refresh cycle, a builder stage to compile your Go application to a static binary, and a production stage that only copies the compiled executable to the minimal scratch image, resulting in a smaller and more efficient production image.

In the development stage, you'll notice that we didn't copy the project's contents into /app directory. Instead, we'll mount the local project directory to the /app directory within the container to enable automatic reloads via air. You only need to update your app service as follows:

services:
  app:
    build:
      context: .
      target: ${GO_ENV}
    container_name: go-blog-app
    environment:
      PORT: ${PORT}
      LOG_LEVEL: ${LOG_LEVEL}
      POSTGRES_HOST: ${POSTGRES_HOST}
      POSTGRES_DB: ${POSTGRES_DB}
      POSTGRES_PASSWORD: ${POSTGRES_PASSWORD}
      POSTGRES_USER: ${POSTGRES_USER}
    env_file:
      - ./.env
    depends_on:
      migrate:
        condition: service_completed_successfully
    networks:
      - go-blog-network
    volumes:
      - .:/app

. . .

Here, we've mounted the local project directory to /app within the container. This allows you to make code changes directly on your host machine, and they'll be reflected instantly inside the container.

The services.app.build.target value is also set to ${GO_ENV} so that when you're building the image, the appropriate stage is used according to the value supplied through the .env file.

Once you're done, return to your terminal and execute the command below to stop and remove your existing service instances:

docker compose down

Then run:

docker compose up --build

Assuming the GO_ENV variable in your .env file is set to development, the corresponding stage will be triggered and you will see that the air CLI is installed and launched successfully:

. . .
go-blog-app      |
go-blog-app      |   __    _   ___
go-blog-app      |  / /\  | | | |_)
go-blog-app      | /_/--\ |_| |_| \_ v1.52.3, built with Go go1.23
go-blog-app      |
go-blog-app      | mkdir /app/tmp
go-blog-app      | watching .
go-blog-app      | watching bin
go-blog-app      | watching models
go-blog-app      | watching repository
go-blog-app      | watching repository/migrations
go-blog-app      | watching templates
go-blog-app      | !exclude tmp
go-blog-app      | building...
go-blog-app      | running...
go-blog-app      | Server started on port 8000
. . .

To confirm that live reload works, add a simple health check route to your main.go file like this:

. . .
func main()
    . . .

    http.HandleFunc("/health", func(w http.ResponseWriter, r *http.Request) {
        switch r.Method {
        case "GET":
            w.Write([]byte("OK"))
        default:
            http.Error(w, "Method not allowed", http.StatusMethodNotAllowed)
        }
    })

    fmt.Println("Server started on port 8000")
    log.Fatal(http.ListenAndServe(":8000", nil))
}

Once you save the file, you'll notice that the change is detected by air which automatically triggers a new build and execution of the updated binary:

. . .
go-blog-app      | main.go has changed
go-blog-app      | building...
go-blog-app      | running...
go-blog-app      | Server started on port 8000
. . .

curl http://localhost/health

OK

When its time to build a production image, you can specify the production stage with the --target flag like this:

docker build . -t go-blog-prod --target production

Once the image builds, inspect it with:

docker image ls go-blog-prod

REPOSITORY     TAG       IMAGE ID       CREATED         SIZE
go-blog-prod   latest    0e40c49ab29b   5 seconds ago   17.8MB

You'll notice that the image size is now just 17.8Mb as opposed to the 1.06GB observed in step 3. This reduction in image size has several benefits, including faster image pull, reduced storage requirements, and quicker deployment times.

If you're launching your services in production with docker compose, you only need to change your GO_ENV value to production before running docker compose up --build as before.

Final thoughts

You've successfully journeyed through the steps associated with crafting a Docker image for your Go application, and how to leverage it for both local development and production environments.

But remember that this is only the first step in your Docker adventure. There are many paths to further refine your development and deployment processes.

Feel free to dig deeper into topics like:

• Streamlining your Dockerfile.
• Enhancing security in your containerized applications.
• Effective logging strategies for Docker.
• Deploying your Dockerized applications seamlessly on cloud platforms like AWS.

Want to tinker with the demo? You'll find the final version of the code on GitHub.

Keep learning, keep building, and most of all, have fun coding!

Article by

Ayooluwa Isaiah

Ayo is the Head of Content at Better Stack. His passion is simplifying and communicating complex technical ideas effectively. His work was featured on several esteemed publications including LWN.net, Digital Ocean, and CSS-Tricks. When he’s not writing or coding, he loves to travel, bike, and play tennis.

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