autoshred VS axiom-demo

Did same exact thing for the same exact reason. Try autoshred https://github.com/pgporada/autoshred

For wiping, you could always set up an Autoshred environment (https://github.com/pgporada/autoshred). The details of swapping drives in and out, ordering something so you don't have to put the drives into caddies, etc. are between you and whoever's paying for time and equipment.

> The solution goes - Splunk is too expensive, let's ditch logs altogether and hope we capture some metrics and plot them in nice dashboards. Instead of dumping the logs highly compressed into cheap s3 and running some Snowflake or Spark on it later.

I don't usually promote on HN but this is exactly why we built https://axiom.co! We've been working on this problem for some time, essentially allowing schema-less/index-free ingest, S3-based storage in a highly-efficient format, and then querying with a Splunk-like (specifically Kusto-inspired) language via serverless functions.

We built it because we also realised we would avoid or think too much about logging (cost, scaling, retention, etc) which led to compromises either in our monitoring or later when we wanted to dive in and try and draw some insights/analytics from that kind of data.

At Axiom we put together a Vercel integration, that enables you to monitor the health and performance of your Vercel deployments by ingesting all your request and function logs.