When you're sending 40,000 emails per minute through 52 parallel workers, you'd think the hardest problems would be obvious from the start - queue throughput, API rate limits, infrastructure scaling. But one of the most unexpectedly difficult challenges we faced while building our multi-te
Some of the hardest engineering problems aren't the ones you plan for. They're the ones that ambush you mid-implementation - when everything is working beautifully until you hit an invisible wall.
Sending a million personalized emails sounds like a problem you throw money at - more servers, bigger instances, higher API rate limits. But brute force doesn't scale economically when you're running a multi-tenant platform where hundreds of organizations need to send campaigns simultaneou
Running production workloads on AWS spot instances sounds like a terrible idea - until you look at the numbers. A 50-65% cost reduction on compute is hard to ignore when you're operating a multi-tenant platform designed to scale to hundreds of instances.
When your business model depends on onboarding new customers quickly, every minute of manual setup is a bottleneck. We built an automated provisioning system that takes a new Mautic tenant from "button click" to fully operational instance in under 8 minutes - with zero DevOps involvement.
Imagine you're running a marketing automation platform with over a hundred independent Mautic instances - each with its own database, its own configuration, and its own production traffic. Now you need to push an update. To all of them. Without breaking anything.
The Mautic community gathers for Mautic World Conference 2025, featuring sessions on AI, email deliverability, and the future of open source marketing.