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Unlike Heroku Cron jobs are not natively handled in DO, and I havn’t seen any DO addons doing the job. As for the Redis Database, I’ve decided to create a new one on DO, which was also straightforward. I’ve personally linked our GitHub repository and added all of our environment variables. I wanted to build and migrate my apps on something as easy and straightforward as Heroku so I chose to build what DO (digital ocean) calls apps, with a fully managed infrastructure, see Digital Ocean App platform.Ĭreating an app on DO was as easy as building on top of Heroku. Droplet for example allows you to create a virtual machine in a few steps. Building on Digital oceanĭigital Ocean has a whole list of what you can build on top of their cloud providers. So pricing and scaling our server was the main reason we looked out for migration of our cloud provider. So that means that the next time we want to scale vertically our Heroku cost will raise from $210 to $560 (considering we have 2 dynos at $250 + 1 Redis addon at $120).
This isn’t much but as we are growing I know we will have to switch our Heroku server to a Performance-M Dyno with 2.5GB Ram.
Without a database, this comes down to $210 per month. Heroku-Redis addon(250Mb memory, 200 connection limit) Here is a summary of our expenses on Heroku just for that one server: Our costs on Heroku before the migration Itemsģx Standard-2x dynos (1 Gb ram) at $50 each We’ve been running out of Heroku credits for 6+ months and we can see the servers' cost increasing every month as the traffic grows. Upgrading servers and dyno on Heroku become pricey.
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Every once in a while a new big client comes in and we need to upgrade our server and optimize our code. We’ve been scaling our servers on Heroku, both vertically (upgrading our server ram) and Horizontally (adding dynos). As of today, those webhooks represent around 30k HTTP requests per day on our server. We subscribe to webhooks from GitHub, GitLab, and Slack.
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