Deploying a Workflow Automation App on Heroku

Attempted to deploy workflow automation app to Heroku using alternate Docker configuration, revised YAML settings, and custom Postgres addon. Code samples and error logs exhibited below.

heroku addons:create brave-postgresql:mini-dev --version=11 -a alice-app
FROM myregistry/myworkflow:latest
init:
  config:
    APP_SUBDOMAIN: "alice-app"
    APP_DOMAIN: "herokuapp.com"
    ENV_MODE: "production"
    TIMEZONE: "Europe/Paris"
    SERVICE_KEY: "anothersecret"
    WEBHOOK_URL: "https://${APP_SUBDOMAIN}.${APP_DOMAIN}/"
    DATABASE_TYPE: "psql"
    PSQL_HOST: "newdb"
    PSQL_DB: "sampledb"
    PSQL_PORT: 5432
    PSQL_USER: "admin"
    PSQL_PASS: "pass123"
deploy:
  docker:
    main: Dockerfile
2020-04-15T11:30:00 app[main]: Warning: process not registered correctly.
2020-04-15T11:30:05 app[main]: Error: Application terminated unexpectedly.

I encountered something similar while deploying my own workflow automation app. I found that aligning environment variables across Docker and YAML configurations is critical. In one instance, a slight misconfiguration in setting the app’s webhook URL caused persistent startup issues. Additionally, verifying that the process registration in the container matched Heroku’s expectations made a difference. Reassessing the logging details also helped isolate the error. It may be necessary to review the process startup scripts and ensure that every parameter is correctly passed through from the Dockerfile to the runtime environment.

After working through similar issues, I discovered that the underlying problem often lies with subtle mismatches in environment variable settings and the way processes are initialized in the Docker container. In my case, I had to trace the container startup logs carefully and ensure that all environment parameters passed by the YAML configuration directly matched those expected by the Dockerfile’s command scripts. Verifying the custom database configurations and the initialization order helped resolve the issue. It is worth reviewing the entire startup sequence from the container to Heroku’s runtime to spot any inconsistencies.

hey, try tweaking your entrypoint command; sometimes the proc multiplexer isnt signalling propery. i had similar issues with heroku and docker integration when my startup config miss matched. double-check your run command and logging to see if a misspellng err prevents process registration.

During one of my recent deployments, I experienced similar issues and learned the importance of verifying that every part of the configuration is in sync. The problem for me was not immediately apparent since it was buried in subtle discrepancies between what was expected by my Docker entrypoint and what Heroku’s runtime was actually receiving. After careful inspection, I discovered that even minor typos in environment variables could disrupt the process registration. I recommend double-checking your configuration files and ensuring that all environment variables are correctly set. Adopting a systematic approach to testing parameter values before deployment can prevent these issues.

In a previous project, I faced a comparable challenge while deploying a similar application on Heroku. I discovered that the issue sometimes stems from the order in which services are initialized, especially when background processes must be registered correctly. In my case, minor delays in service startup within the Docker container led to unexpected terminations. Adjusting the startup script to include a waiting period before launching the main process allowed for proper registration. Simultaneous verification of the container logs helped pinpoint timing issues. This approach significantly reduced process misregistration and stabilized the deployment.