nsblast VS redpanda

nsblast

Example from one of my projects: https://github.com/jgaa/nsblast/blob/main/cmake/3rdparty.cmake

Yahat-cpp: Simple HTTP/API server library for use in C++ micro-services. This was just some code that kept evolving inside various projects, so I distilled it to a separate project to make it simpler to maintain. For an example of a real server using it, you cal look at nsblast, a new DNS server I'm implementing.

I hope this question is not too off-topic here. I'm a bit lost. I'm working on a C++ project (a DNS server). It exposes a REST API via an embedded, very simple HTTP server. I have added swagger to document the API, and to test it from a browser. Now, I want to provide a simple web-UI to the application. I don't want this to become a major task, and ideally I want either a UI that lives as some simple js/css/http files in the browser, (so it can be served as a static website on the server-side like swagger) - or some simple to use back-end library in C++ that can drive the web-UI. In short, I hope to find a way to do this where I can have a POC ready in <= a week, and where I don't have to spend lot's of time learning some js framework.

I'm using C++ for most of my projects, because I like it. It's also what I do for a living. The latest new open source project I initiated is a dns server, nsblast, using rocksdb for storage. https://github.com/jgaa/nsblast

The (side) project I have put most effort into in the last year is k8deployer, a helm like utility that can deploy simple and complex applications in kubernetes with minimal effort. https://github.com/jgaa/k8deployer

In these projects I don't use other languages. C++ is the only language where I easily get into "flow".

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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.