Closed. This question needs to be more focused. It is not currently accepting answers.
Want to improve this question? Update the question so it focuses on one problem only by editing this post.
Closed 7 days ago.
Improve this question
I am looking to integrate RocksDB into my application for efficient data storage and retrieval. I have read through the documentation and some tutorials, but I would like to hear from experienced Rust developers on the best practices for integrating RocksDB into a Rust application.
What are some tips and tricks for optimizing RocksDB performance and minimizing latency in a Rust environment? What are some common pitfalls to avoid when integrating RocksDB into Rust, and what are some techniques for debugging and troubleshooting RocksDB integration issues?
Any advice, tips, or guidance from experienced Rust developers would be greatly appreciated.
Related
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 3 months ago.
Improve this question
Is it a wrong manner to start writing a NodeJS application using REST architecture, then try to use GraphQL or gRPC approaches in some parts or completely rewrite some or whole the application in the future?
The reason for doing this is previous experience and coding speed in REST APIs. But at the other hand it's kinda a big microservices project and should support millions of users.
GraphQL is not going to help you scale, quite the opposite in many cases. GraphQL is an optimization (in some cases) but mostly for developer productivity, but there is a complexity cost.
Generally I would suggest to steer away from this optimization unless you have a clear understanding of what you're solving for. REST is a good 'default choice' because it's well understood, requires little tooling and is pretty universal.
Once you are further into your project and you find that you have (ideally measurable) challenges, you're in a much better place to decide to use a more specialized paradigm (gRPC/graphql) and why, but it doesn't sound like you're there yet.
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 1 year ago.
Improve this question
What is the best way to learn practical Node.js?
I want to be a Node.js developer.
All the courses I found on the Internet (paid or unpaid) seems to have little to very basic knowledge of Node.
These courses are unable to full fill my thirst for knowledge.
Kindly recommend me a good source to learn Node.js.
Yes I am asking for your Opinion.
Read the documentation and learn the best practices. Once you learn to control the flow, you can do anything with it. My suggestion would be to find a problem statement and try to solve that using Node.
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 2 years ago.
Improve this question
I will start developing my e-commerce website soon however, I don't have experience in backend. So I'm considering to use firebase. But my real concern is, , is firebase good option on long term? Is it easy to migrate to mongodb and node js or is it better to write my own backend from the beginning?
You should consider using firebase if the features are useful to you:
authentication
noSQL database
storage
in-app messaging
It is a good option long-term if don't hit the upper limits of the free plan for a long time. This is almost always the case for new unknown projects.
Because of the noSQL nature, switching to mongoDB is straight-forward. The real question is if you are already experienced with setting up and using node.js with mongoDB. You are better served with what you already know.
Use Firebase if you have no significant experience with the alternatives.
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 6 years ago.
Improve this question
I am new to Cloud and Big-data however have much of interest in these and I have significant experience in Java programming. I am currently working on my uni project for comparing performance of Apache Spark streaming with Google Cloud Dataflow. I have read a number of articles including the comparison done here.
I understand that the programming model of Spark and Dataflow is different, however because of my limited and new knowledge in this area, I am trying to understand if this performance comparison can still be done?
and what type of use case would be correct for this? And what performance parameters should be considered here for a streaming application?
While reading about Dataflow and Spark, I also came across Dataproc and also thinking if it is better to do comparison between Dataflow vs Spark on Dataproc or Dataflow vs Spark+Google Cloud.
Any advise on this would be appreciated as I am not getting a clear direction in this.
The best way to compare performance is with real end-to-end data processing pipelines. So you first need to answer your own question "what type of use case would be correct for this?" as there are a nearly unlimited variety.
You might find some inspiration in the included examples.
Closed. This question is opinion-based. It is not currently accepting answers.
Want to improve this question? Update the question so it can be answered with facts and citations by editing this post.
Closed 7 years ago.
Improve this question
I've heard that node.js is really fast for applications like chats and real time apps.
I was wondering if node is a good choice to develop a forum or a q&a site like StackOverflow?
Yes it's perfectly possible, you don't have to implement your own web server like somebody said, you can just create it using something like Express (as a framework) and Mongoose (as a MongoDB ORM) or whatever you choose.
I think Node.js is a good solution for such a case because of its high concurrency (and Stack Overflow is a site where thousands of users are online in the same time probably). So yes you can achieve this with PHP, Ruby and Python etc, but I believe Node.js is a better fit (that's my opinion, based on the success stories I've heard which were based on Node).
Node isn't just a solution for building small services, here are some good examples ( https://nodejs.org/en/blog/uncategorized/an-easy-way-to-build-scalable-network-programs/ ).