»Getting Started with Waypoint
It only takes a few minutes to get started with Waypoint on your local development environment. This quick start example uses Docker, either on Linux or with Docker Desktop for Windows and macOS.
Afterwards, go in-depth with tutorials for AWS, Azure, GCP, Kubernetes, and Nomad at HashiCorp Learn.
Download the Waypoint binary and install it to your system. The
easiest way to install it is to use our official signed packages for Homebrew,
yum, and other package managers.
»Installing the Server
Start the Docker Desktop application.
Install the Waypoint server to Docker with the
install command. The
-accept-tos flag is required to use the
waypoint.run URL publishing service.
$ waypoint install -platform=docker -accept-tos
When it completes, you'll see this message.
✓ Server container startedWaypoint server successfully installed and configured! The CLI has been configured to connect to the server automatically. Thisconnection information is saved in the CLI context named "install-1601411904".Use the "waypoint context" CLI to manage CLI contexts. The server has been configured to advertise the following address forentrypoint communications. This must be a reachable address for all yourdeployments. If this is incorrect, manually set it using the CLI command"waypoint server config-set". Advertise Address: waypoint-server:9701HTTP UI Address: localhost:9702
Clone the git repository with Waypoint application examples, or download the code directly from GitHub.
$ git clone https://github.com/hashicorp/waypoint-examples.git
Navigate to the
$ cd waypoint-examples/docker/nodejs
All the code you need is provided in this directory, including a
configuration file that will deploy the application to Docker.
init to set up the project.
$ waypoint init
You'll see this output.
✓ Configuration file appears valid✓ Local mode initialized successfully✓ Project "example-nodejs" and all apps are registered with the server.✓ Plugins loaded and configured successfully✓ Authentication requirements appear satisfied. Project initialized! You may now call 'waypoint up' to deploy your project orcommands such as 'waypoint build' to perform steps individually.
waypoint up to build, deploy, and release the application.
$ waypoint up
It may take a minute or two and then you'll see this output.
» Building...✓ Creating pack client✓ Building image✓ Injecting entrypoint binary to image Generated new Docker image: example-nodejs:latest » Deploying...✓ Setting up waypoint network✓ Starting container⠹ App deployed as container: example-nodejs-01EMM4TEN9SCXXE900F4EFQ9NR » Releasing... The deploy was successful! A Waypoint deployment URL is shown below. Thiscan be used internally to check your deployment and is not meant for externaltraffic. You can manage this hostname using "waypoint hostname." URL: https://instantly-worthy-shrew.alpha.waypoint.runDeployment URL: https://instantly-worthy-shrew--v1.waypoint.run
Visit either URL shown in the output. You will see a NodeJS application running on your local Docker Desktop instance.
Change any part of the file at
docker/nodejs/views/pages/index.ejs such as
<h1> tag at about line 18. Run
up again to deploy a new version of the
$ waypoint up
You'll see a new URL that you can visit to view the latest version of the application.
Waypoint includes several sub-commands to help you monitor and debug your application.
logs to view Waypoint's logs. This may not include all of your
application-specific logs, but will display Waypoint's logs.
exec command connects you to a running instance of your application where
you can examine the process list, run application-specific database upgrade
commands, or do other debugging.
waypoint exec bash# ps aux
»Viewing the Web UI
Waypoint includes a web interface for viewing logs, deployments, builds, and
other details. Launch it with the
waypoint ui -authenticate
When you are done, run
destroy to remove the application from Docker.
$ waypoint destroy
You have used Waypoint to build, deploy, and release a NodeJS application to Docker.
For more detailed examples in many programming languages and on real cloud resources hosted at AWS, Azure, and GCP, visit HashiCorp Learn.