examples VS axiom-demo

Relevant: - Suggested Enhancements to Python Producer Example

If you'd like to get a better idea of how it works when implemented in code, there are some sample repositories here https://github.com/confluentinc/examples/

Spend some time on https://developer.confluent.io , especially https://developer.confluent.io/get-started/java/ and look at https://github.com/confluentinc/examples . Those will give really practical examples for how to set up your configs and start consuming

The examples git repo has a great working producer and consumer. https://github.com/confluentinc/examples

Digging into this a bit, I guess the fastest way would be to use librdkafka via Dart FFI. It's what Confluent uses in their Node.js example. That way you only have to worry about the FFI parts.

> 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.