@DataflareApp@fkadev Some filtering features like easily select which column to filter and directly put value. And/or by adding removing filters. Current filter input ux can be enhanced.
We’ve been using self-hosted @hatchet_dev setup for the last 2 months.
~1M Amazon page scrapes/day
~2M eBay API requests/day
7 workers, 56 vCPU, 112 GB RAM pool total.
Didn’t even flinch. Might be the best open-source solution for async jobs.
Average resource utilization is like 20-30% generally, but we should be prepared for request spikes. Also, workflows involves product image downloading, processing, watermarking etc. jobs which also requires resource usage. What i like about hatchet is that i don't generally think about balancing jobs between workers etc. Your setup seems very solid for larger volumes. Hatchet may not be appropriate for such that throughput.
@10mfahreza@hatchet_dev I used inngest a lot in production but self hosted version was not so stable and had lots of ui bugs. Came across hatchet and everyting is perfect so far.
Planetscale is by far the most reliable and hassle free to use database infrastructure for me.
Although generally using self-hosted PostgreSQL for most of the projects, i prefer @PlanetScale for mission critical ones.
It is like Apple of the developer tools. Such a joy to use
@mtgproductionss without macos, performance does not mean that much for me. urgent os update is needed for ipads to be more productive, especially in ai era.