7 stories
We had to upgrade our 56TB Aurora Postgres cluster by 31 July without taking Trigger.dev down. Instead of moving the database, we made the problem smaller: new runs and the control plane went to PlanetScale, and the old runs stayed behind.
Morgan Vernay, Software Engineer at Cal.com, shares how their team runs millions of background tasks every month on Trigger.dev: booking side effects, AI phishing detection, fraud analysis, and Google/Microsoft Graph calendar syncing.
Skills teach AI agents how to do specific tasks consistently. Learn how they work, what's inside them, and how agents discover and load them.
After shipping v4 GA, we're focusing on making Trigger.dev the best platform for AI agents. Here's our 3-month+ roadmap: GitHub and Vercel integrations, sub-500ms MicroVM cold starts, improved logging with ClickHouse, an Agent Toolkit, and advanced metrics.
This is our most significant performance and developer experience upgrade yet, built on our new Run Engine.
We process 20,000 run updates per second and 500GB of data daily using Postgres replication slots and ElectricSQL. Here's why we chose this over WebSockets and how we solved the hard problems of authentication, rate limiting, and caching.
Lewis Carhart, Founder at Comp AI, shares how they use Trigger.dev to automate evidence collection at scale, powering their open source, AI-driven compliance platform.
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