Hello everyone,
I have built a Telegram bot using Haskell along with a Telegram API library. The bot operates smoothly on my local machine, but I am looking for a way to deploy it on a free server such as Heroku or a similar alternative. My objective is to have the bot running continuously without the need to manually restart it frequently. Could someone provide guidance or a step-by-step process for deploying my Haskell Telegram bot to a free hosting service? Any help or detailed instructions would be greatly appreciated.
I have managed a similar deployment by compiling my Haskell Telegram bot into a standalone binary and using a Procfile to govern its execution on Heroku. My approach bypassed the potential issues with non-standard buildpacks by configuring custom build scripts that assembled the binary on each deployment. Environment variables and secure storage for API credentials were particularly important in my setup. I found that carefully managing the compilation process and verifying dependencies ahead of deployment ensured that the bot remained operational without frequent manual intervention.
i ended up using a free digital ocean droplet. built a docker image locally, then pushed it to run continuously. had a few hiccups with deployment, but its a solid approach if heroku isnt your flavor. gives you more control too.
My approach has been to deploy the Haskell bot using a containerized setup on a free tier offered by Fly.io. I started by constructing a Dockerfile that compiled the Haskell code into a statically linked binary, which minimized runtime errors. The build process was streamlined once I set up continuous integration to automatically rebuild the container. I then utilized Fly.io’s deployment tools, which allowed for effortless scaling and persistent runtime without manual restarts. The experience showed me that a container-centric method provided reliability and easier management of environment configurations.
Based on my own experience, I managed to deploy my Haskell-based Telegram bot on Heroku with a bit of setup work using the container registry. I began by building the bot locally with Stack and then created a Dockerfile that defined the deployment environment. I found that this method bypassed some of the limitations of the default Heroku Haskell buildpacks. Setting the environment variables correctly for the Telegram API was crucial, and the resulting deployment has proven both reliable and efficient for continuous operation.
Deploying on Railway has proven to be another effective method for hosting a Haskell-based Telegram bot. I compiled my bot into a statically linked binary, which helped reduce potential runtime issues. After ensuring everything worked as expected locally, I pushed the changes to Railway’s Git repository. Their automated deployment process then took care of the rest, making it both seamless and reliable. The platform’s logging features were particularly useful for real-time monitoring, and the overall experience taught me that a streamlined CI/CD pipeline is invaluable for maintaining continuous uptime.