ecto VS VictoriaMetrics

To ruin the party, deterministic UUID generation is exactly what UUID v5 is designed for. And since Ecto does not validate UUIDs against their specs, you might as well use uuid again and do:

To me this looks a lot like ecto https://github.com/elixir-ecto/ecto

Is there a significant difference?

Ecto database driver use-case

When it comes to building microservices, Go has the advantage of being easier to deploy and tighter integration with gRPC. On the other hand, Elixir will provide a more expressive layer to communicate with the database through Ecto.

May I ask why CouchDB though? Is it for the offline support?

Phoenix comes with its own database tool called Ecto[0] which is excellent, and it uses Postgres by default. If you're not intended to leverage CouchDB for offline support you should go Postgres without a second thought.

That said, I'm also curious about how to implement offline support with Phoenix in a nice and trivial way.

[0] https://github.com/elixir-ecto/ecto

The best would be to set aside at least 40 minutes of study a day. Being 20 minutes focused on the core of the language, solving problems and a website that can help you a lot and exercism. Another 20 minutes some of the core frameworks like: Phoenix, Ecto, Enum

This is a testiment to the value and productivity of Phoenix, but the resulting code is just basic CRUD. The views are tied 1:1 with their database-backed Ecto schemas. One thing to note is that Phoenix generates DDD-style contexts. This is unlike Rails, which would produce a typical ActiveRecord sprawl: bloated models directly being accessed and lazily queried across the entire application.

Ecto uses prewalk to count the number of interpolations within a given expression.

I've used my share of data access libraries and patterns (e.g. hibernate, activerecord, ecto, ...). The only time I've been happy is when I use raw SQL for non-dynamic SQL and a lightweight query builder for everything else.

I feel like I always run into some thing that at best isn't intuitive to express/read and at worse, cannot be expressed. If I remember correctly, when I was learning Elixir/Ecto, https://github.com/elixir-ecto/ecto/issues/1616 issue and the lack of lateral join support caused me issues.

Want to create a user?

"insert into users (id, name, status) values ($1, $2, $3)"

Our query builder takes pretty raw SQL fragments:

    q = Query.new()

VictoriaMetrics CTO here.

The referred library is the official OpenTelemetry package for reading metrics in Go language [1] - more details are available at [2].

Note that we at VictoriaMetrics like the idea of unified observability standard like OpenTelemetry. The issue is in the current otel implementation. It is too bloated and very inefficient. This contradicts to our experience with observability cases, which need very optimized format for metrics' transfer in order to reduce costs on CPU and network traffic needed to transfer and process these metrics.

VictoriaMetrics continues investing in OpenTelemetry by providing integration docs [3] and improving the existing functionality for otel metrics' ingestion [4].

[1] https://github.com/open-telemetry/opentelemetry-proto-go

[2] https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2570...

[3] https://docs.victoriametrics.com/guides/getting-started-with...

[4] https://github.com/VictoriaMetrics/VictoriaMetrics/issues/60...

Victoria Metrics

VictoriaMetrics is primarily a time-series database designed for efficiently storing and querying time-series data. It is often used as a back-end data store for time-series data generated by monitoring systems like Prometheus. VictoriaMetrics excels at handling large volumes of time-series data, offering efficient storage and query capabilities.

Not sure I follow since there are very competitive tools written in Go such as https://victoriametrics.com for an example in this space.

Did you try VictoriaMetrics [1] and vmagent [2]? It is a single self-contained binary without external dependencies. It requires relatively low amounts of CPU, RAM, disk space and disk IO, and it runs on ARM.

[1] https://github.com/VictoriaMetrics/VictoriaMetrics/

[2] https://docs.victoriametrics.com/vmagent.html

https://github.com/VictoriaMetrics/VictoriaMetrics#cardinali...

If I understanding correctly, it deal with high cardinality by dropping data, the operators need to monitor for this and adjust their data to lower the cardinality.

VictoriaMetrics

You shouldn't unless you want to use the new open source standard for telemetry. You won't benefit from simplicity or performance improvements. It would be quite the opposite. You can check what is the actual cost of open telemetry adoption here [0]

But if you ever decide to go this path - VictoriaMetrics supports OpenTelemetry protocol for metrics [1]

[0] https://github.com/VictoriaMetrics/VictoriaMetrics/pull/2570

[1] https://docs.victoriametrics.com/Single-server-VictoriaMetri...