Alternatives to ServiceStack

I'm looking to develop a website. My current plan is to use ASP.NET Core 5 web api for backend and React for front end. But not long ago I hear of Next.js and that it is capable to have all backend inside Next.js. If so, is it still worth using .Net + React (or some other combination of frameworks).

For context, I currently use JavaScript (React) and Python (Flask) in my daily routine.

I need your help in choosing either Spring Boot or ASP.NET Core. Both frameworks seem to have mature ecosystems. I would like to hear your thoughts on the following points:

• Difficulty level of both frameworks
• Level of community support
• Career prospects i.e do Spring based jobs pay more or vice versa
• which one will be helpful if I decide to transition towards a more specialized field like data engineering.

I am asking this because it is something that I am also exploring in parallel. I know that Python and #SQL play a huge role in big data.

We need to interact from several different Web applications (remote) to a client-side application (.exe in .NET Framework, Windows.Console under our controlled environment). From the web applications, we need to send and receive data and invoke methods to client-side .exe on javascript events like users onclick. SignalR is one of the .Net alternatives to do that, but it adds overhead for what we need. Is it better to add SignalR at both client-side application and remote web application, or use gRPC as it sounds lightest and is multilingual?

SignalR or gRPC are always sending and receiving data on the client-side (from browser to .exe and back to browser). And web application is used for graphical visualization of data to the user. There is no need for local .exe to send or interact with remote web API. Which architecture or framework do you suggest to use in this case?

By mid-2015, Uber’s rider growth coupled with its cadence of releasing new services, like Eats and Freight, was pressuring the infrastructure. To allow the decoupling of consumption from production, and to add an abstraction layer between users, developers, and infrastructure, Uber built Catalyst, a serverless internal service mesh.

Uber decided to build their own severless solution, rather that using something like AWS Lambda, speed for its global production environments as well as introspectability.

When I joined NYT there was already broad dissatisfaction with the LAMP (Linux Apache HTTP Server MySQL PHP) Stack and the front end framework, in particular. So, I wasn't passing judgment on it. I mean, LAMP's fine, you can do good work in LAMP. It's a little dated at this point, but it's not ... I didn't want to rip it out for its own sake, but everyone else was like, "We don't like this, it's really inflexible." And I remember from being outside the company when that was called MIT FIVE when it had launched. And been observing it from the outside, and I was like, you guys took so long to do that and you did it so carefully, and yet you're not happy with your decisions. Why is that? That was more the impetus. If we're going to do this again, how are we going to do it in a way that we're gonna get a better result?

So we're moving quickly away from LAMP, I would say. So, right now, the new front end is React based and using Apollo. And we've been in a long, protracted, gradual rollout of the core experiences.

React is now talking to GraphQL as a primary API. There's a Node.js back end, to the front end, which is mainly for server-side rendering, as well.

Behind there, the main repository for the GraphQL server is a big table repository, that we call Bodega because it's a convenience store. And that reads off of a Kafka pipeline.

How Uber developed the open source, end-to-end distributed tracing Jaeger , now a CNCF project:

Distributed tracing is quickly becoming a must-have component in the tools that organizations use to monitor their complex, microservice-based architectures. At Uber, our open source distributed tracing system Jaeger saw large-scale internal adoption throughout 2016, integrated into hundreds of microservices and now recording thousands of traces every second.

Here is the story of how we got here, from investigating off-the-shelf solutions like Zipkin, to why we switched from pull to push architecture, and how distributed tracing will continue to evolve:

https://eng.uber.com/distributed-tracing/

(GitHub Pages : https://www.jaegertracing.io/, GitHub: https://github.com/jaegertracing/jaeger)

Bindings/Operator: Python Java Node.js Go C++ Kubernetes JavaScript OpenShift C# Apache Spark

Simple controls over complex technologies, as we put it, wouldn't be possible without neat UIs for our user areas including start page, dashboard, settings, and docs.

Initially, there was Django. Back in 2011, considering our Python-centric approach, that was the best choice. Later, we realized we needed to iterate on our website more quickly. And this led us to detaching Django from our front end. That was when we decided to build an SPA.

For building user interfaces, we're currently using React as it provided the fastest rendering back when we were building our toolkit. It’s worth mentioning Uploadcare is not a front-end-focused SPA: we aren’t running at high levels of complexity. If it were, we’d go with Ember.js.

However, there's a chance we will shift to the faster Preact, with its motto of using as little code as possible, and because it makes more use of browser APIs. One of our future tasks for our front end is to configure our Webpack bundler to split up the code for different site sections. For styles, we use PostCSS along with its plugins such as cssnano which minifies all the code.

All that allows us to provide a great user experience and quickly implement changes where they are needed with as little code as possible.

Hey, so I developed a basic application with Python. But to use it, you need a python interpreter. I want to add a GUI to make it more appealing. What should I choose to develop a GUI? I have very basic skills in front end development (CSS, JavaScript). I am fluent in python. I'm looking for a tool that is easy to use and doesn't require too much code knowledge. I have recently tried out Flask, but it is kinda complicated. Should I stick with it, move to Django, or is there another nice framework to use?

Finding the most effective dev stack for a solo developer. Over the past year, I've been looking at many tech stacks that would be 'best' for me, as a solo, indie, developer to deliver a desktop app (Windows & Mac) plus mobile - iOS mainly. Initially, Xamarin started to stand-out. Using .NET Core as the run-time, Xamarin as the native API provider and Xamarin Forms for the UI seemed to solve all issues. But, the cracks soon started to appear. Xamarin Forms is mobile only; the Windows incarnation is different. There is no Mac UI solution (you have to code it natively in Mac OS Storyboard. I was also worried how Xamarin Forms , if I was to use it, was going to cope, in future, with Apple's new SwiftUI and Google's new Fuchsia.

This plethora of techs for the UI-layer made me reach for the safer waters of using Web-techs for the UI. Lovely! Consistency everywhere (well, mostly). But that consistency evaporates when platform issues are addressed. There are so many web frameworks!

But, I made a simple decision. It's just me...I am clever, but there is no army of coders here. And I have big plans for a business app. How could just 1 developer go-on to deploy a decent app to Windows, iPhone, iPad & Mac OS? I remembered earlier days when I've used Microsoft's ASP.NET to scaffold - generate - loads of Code for a web-app that I needed for several charities that I worked with. What 'generators' exist that do a lot of the platform-specific rubbish, allow the necessary customisation of such platform integration and provide a decent UI?

I've placed my colours to the Quasar Framework mast. Oh dear, that means Electron desktop apps doesn't it? Well, Ive had enough of loads of Developers saying that "the menus won't look native" or "it uses too much RAM" and so on. I've been using non-native UI-wrapped apps for ages - the date picker in Outlook on iOS is way better than the native date-picker and I'd been using it for years without getting hot under the collar about it. Developers do get so hung-up on things that busy Users hardly notice; don't you think?. As to the RAM usage issue; that's a bit true. But Users only really notice when an app uses so much RAM that the machine starts to page-out. Electron contributes towards that horizon but does not cause it. My Users will be business-users after all. Somewhat decent machines.

Looking forward to all that lovely Vue.js around my TypeScript and all those really, really, b e a u t I f u l UI controls of Quasar Framework . Still not sure that 1 dev can deliver all that... but I'm up for trying...

Hi. We are planning to develop web, desktop, and mobile app for procurement, logistics, and contracts. Procure to Pay and Source to pay, spend management, supplier management, catalog management. ( similar to SAP Ariba, gap.com, coupa.com, ivalua.com vroozi.com, procurify.com

We got stuck when deciding which technology stack is good for the future. We look forward to your kind guidance that will help us.

We want to integrate with multiple databases with seamless bidirectional integration. What APIs and middleware available are best to achieve this? SAP HANA, Oracle, MySQL, MongoDB...

ASP.NET / Node.js / Laravel. ......?

Please guide us

I need to build a web application plus android and IOS apps for an enterprise, like an e-commerce portal. It will have intensive use of MySQL to display thousands (40-50k) of live product information in an interactive table (searchable, filterable), live delivery tracking. It has to be secure, as it will handle information on customers, sales, inventory. Here is the technology stack: Backend: Laravel 7 Frondend: Vue.js, React or AngularJS?

Need help deciding technology stack. Thanks.

Back at the start of 2017, we decided to create a web-based tool for the SEO OnPage analysis of our clients' websites. We had over 2.000 websites to analyze, so we had to perform thousands of requests to get every single page from those websites, process the information and save the big amounts of data somewhere.

Very soon we realized that the initial chosen script language and database, PHP, Laravel and MySQL, was not going to be able to cope efficiently with such a task.

By that time, we were doing some experiments for other projects with a language we had recently get to know, Go , so we decided to get a try and code the crawler using it. It was fantastic, we could process much more data with way less CPU power and in less time. By using the concurrency abilites that the language has to offers, we could also do more Http requests in less time.

Unfortunately, I have no comparison numbers to show about the performance differences between Go and PHP since the difference was so clear from the beginning and that we didn't feel the need to do further comparison tests nor document it. We just switched fully to Go.

There was still a problem: despite the big amount of Data we were generating, MySQL was performing very well, but as we were adding more and more features to the software and with those features more and more different type of data to save, it was a nightmare for the database architects to structure everything correctly on the database, so it was clear what we had to do next: switch to a NoSQL database. So we switched to MongoDB, and it was also fantastic: we were expending almost zero time in thinking how to structure the Database and the performance also seemed to be better, but again, I have no comparison numbers to show due to the lack of time.

We also decided to switch the website from PHP and Laravel to JavaScript and Node.js and ExpressJS since working with the JSON Data that we were saving now in the Database would be easier.

As of now, we don't only use the tool intern but we also opened it for everyone to use for free: https://tool-seo.com