citus VS pulse

I see they don't mention Citus (https://github.com/citusdata/citus), which is already a fairly mature native Postgres extension. From the details given in the article, in sounds like they just reimplemented it.

I wonder if they were unaware of it or disregarded it for a reason —I currently am in a similar situation as the one described in the blog, trying to shard a massive Postgres DB.

It is possible, if you pay for it. You can do Multi-AZ Clustered Instances in RDS, where you get the benefits of Multi-AZ failover with traffic sharing.

If you can run your own infra – at least on an EC2 level – you can do things like Citus [0] for Postgres, which is about as close to "just add database nodes" as you'll get.

[0]: https://www.citusdata.com/

So while searching for something like this for postgres I came across citus. Any one know how that stacks up?

https://github.com/citusdata/citus

References: CitusDB

This is great marketing, nice job. Have you ever read Traction[0]? They call this engineering-as-marketing[1]. I built an open-source version[3] of Baremetrics when something similar when I was considering working on a loan marketplace for SaaS companies[4]. It did ok! I'd consider open-sourcing the tool since it's not your main business.

0 - https://www.amazon.com/Traction-audiobook/dp/B01705KMG4

1 - https://www.chameleon.io/blog/engineering-as-marketing#:~:te....

3 - https://github.com/mike-paper/pulse

4 - https://www.trypaper.io/

I’ve been doing a lot of research on debt as an alternative to VC. A ton of options out there. Keeping notes here for anyone interested https://www.trypaper.io/

Github - https://github.com/mike-paper/pulse

Github - https://github.com/mike-paper/pulse

1. Drill down to customer level detail for metrics

2. Ability to inspect the data pipeline and calculations from raw data to final metric

3. Direct SQL access to the modeled data

I've been hacking on Pulse for a few months and it's now ready for beta. Pulse is:

1. Transparent - Easily drill down and see how metrics are calculated at the customer level

2. Free & Open source - It's easy to self host, but there's also a free hosted version here: https://pulse.trypaper.io/.

3. Extensible - Have some weird edge case you need to exclude? You can update your data model with a little SQL and you always have direct SQL access to your data.

4. Push first - Metrics can be pushed to Slack, Sheets, and email so you don't need to check yet another dashboard. The integrations work out of the box, no janky Zapier workflows are needed.

Links:

Pulse - https://pulse.trypaper.io/

Github - https://github.com/mike-paper/pulse