genny VS redpanda

Im not sure about any library in particular.

There were bunch of libraries which helped with code generation to work around generics. I don't think it was specific to Graphql.

https://github.com/cheekybits/genny is one I have seen.

TypeScript is pretty much necessary for a modern JS project if you ask me, so I agree with you here. At the same time, I'd say that if the JS ecosystem offers a solution, that doesn't count as a failure. It's like pointing to the lack of generics in Go and calling that a failure. No, that's a design choice that can be worked around. Same in JS; dynamic typing was a design choice, TypeScript is a solution.

If you want to experiment, I've been meaning to try out this library, which uses code generation (a first-class feature in go), to give generics-like functionality.

If you are into codegen, there are some larger codegen projects or there, like cheekybits/codegen (there are more in the space of trying to circumvent generics in go).

In golang there is no parametric polymorphism (or “type parameters”, or “generics”). So people created workarounds, for example, gengen (similar solutions genny, generic, gen):

To learn more about Redpanda and stay up-to-date, see Redpanda's source codes available on GitHub and join the Redpanda Community on Slack with fellow developers and data engineers.

Stream-processing platforms such as Apache Kafka, Apache Pulsar, or Redpanda are specifically engineered to foster event-driven communication in a distributed system and they can be a great choice for developing loosely coupled applications. Stream processing platforms analyze data in motion, offering near-zero latency advantages. For example, consider an alert system for monitoring factory equipment. If a machine's temperature exceeds a certain threshold, a streaming platform can instantly trigger an alert and engineers do timely maintenance.

Yeah it’s just the stack switching itself that is a handful of cycles, but there is not much more overhead for the full VM switch if you structure your embedding the right way. Code the code is source available if you want to peek at it!

https://github.com/redpanda-data/redpanda/blob/dev/src/v/was...

that's a littlebit of a stretch. when you say "no shortage" - outside of redpanda what product exists that actually compete in all deployment modes?

it's a misconception that redpanda is simply a better kafka. the way to think about it is that is a new storage engine, from scratch, that speaks the kafka protocol. similar to all of the pgsql companies in a different space, i.e.: big table pgsql support is not a better postgres, fundamentally different tech. you can read the src and design here: https://github.com/redpanda-data/redpanda. or an electric car is not the same as a combustion engine, but only similar in that they are cars that take you from point a to point b.

Redpanda with the MongoDB Debezium Connector installed. We use Redpanda as a Kafka broker.

And Kafka + Kafka Connect has https://www.confluent.io/ https://aiven.io/ https://upstash.com/ (and not quite Kafka, but protocol-compatible, https://redpanda.com/)

There exists a C++ project which was created after Rust the language was available. github.com/redpanda-data/redpanda/

I suggest you check out io_uring and thread per core architecture. Applications like scylladb and redpanda have thread per core architecture and use io_uring for async io.