Viewing profile — agavra

If you do want a native CLI in-terminal for this, try out github.com/agavra/tuicr

Save you the read, here's the interesting part: For $90/mo, we ran a benchmark pushing ~30 MiB/s of metrics data via Buffer. Using public pricing calculators, the equivalent Kafka …

This is the biggest gap in the 0.2.1 release. We have a pretty naive query execution engine because we've spent most of the time on core data structures and ingestion. I have some …

also super cool to see you on here valyala! we took a bunch of inspiration from your work at VM. kudos to all you've done :)

The other solution is to aggressively size your disk cache and keep effectively the full working set on disk, using object storage just as a durability layer. Then the main benefit…

anecdotally I've heard confirmations of the challenge of running VictoriaMetrics clusters at scale. they're way better than Cortex/Thanos and they've built a pretty awesome product…

Good point, a tl;dr is probably worthwhile. It's definitely not quite turn key just yet but we've been dogfooding it in production against a moderate metrics use case (~30k samples…

I make a lot of ASCII diagrams for my blog. While Claude can generate them it only gets about 80% there and then the last 20% of polish is painful to do with plaintext finagling. Y…

Checkout https://github.com/agavra/tuicr - it's built exactly for this purpose (reviewing code in your terminal and then adding comments and exporting it to an agent to fix).

I just built a version of this a month ago that also allows you to add review comments so you can export them back to an Agent to fix: https://github.com/agavra/tuicr Great work on…

the compression algorithm you select for your data is quite dependent on the dataset you have. the equations in this blog post don't help you choose which compression to use, but r…