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C++
C++

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C++ vs Jolie: What are the differences?

Developers describe C++ as "Has imperative, object-oriented and generic programming features, while also providing the facilities for low level memory manipulation". C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized. On the other hand, Jolie is detailed as "The First Programming Language for Microservices". Jolie crystallises the programming concepts of microservices as native language features: the basic building blocks of software are not objects or functions, but rather services that can always be relocated and replicated as needed. Distribution and reusability are achieved by design.

C++ and Jolie can be primarily classified as "Languages" tools.

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What is C++?

C++ compiles directly to a machine's native code, allowing it to be one of the fastest languages in the world, if optimized.

What is Jolie?

Jolie crystallises the programming concepts of microservices as native language features: the basic building blocks of software are not objects or functions, but rather services that can always be relocated and replicated as needed. Distribution and reusability are achieved by design.
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        What are some alternatives to C++ and Jolie?
        C
        PHP
        Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
        JavaScript
        JavaScript is most known as the scripting language for Web pages, but used in many non-browser environments as well such as node.js or Apache CouchDB. It is a prototype-based, multi-paradigm scripting language that is dynamic,and supports object-oriented, imperative, and functional programming styles.
        Python
        Python is a general purpose programming language created by Guido Van Rossum. Python is most praised for its elegant syntax and readable code, if you are just beginning your programming career python suits you best.
        Java
        Java is a programming language and computing platform first released by Sun Microsystems in 1995. There are lots of applications and websites that will not work unless you have Java installed, and more are created every day. Java is fast, secure, and reliable. From laptops to datacenters, game consoles to scientific supercomputers, cell phones to the Internet, Java is everywhere!
        See all alternatives
        Decisions about C++ and Jolie
        Dima Korolev
        Dima Korolev
        Principal Maintainer at Current | 3 upvotes 15.7K views
        atFriendlyDataFriendlyData
        Ruby
        Ruby
        C++
        C++
        #BNF
        #NLP
        #Grammar

        Ruby NLP C++ Grammar #BNF

        At FriendlyData we had a Ruby-based pipeline for natural language processing. Our technology is centered around grammar-based natural language parsing, as well as various product features, and, as the core stack of the company historically is Ruby, the initial version of the pipeline was implemented in Ruby as well.

        As we were entering the exponential growth phase, both technology- and product-wise, we looked into how could we speed up and extend the performance and flexibility of our [meta-]BNF-based parsing engine. Gradually, we built the pieces of the engine in C++.

        Ultimately, the natural language parsing stack spans three universes and three software engineering paradigms: the declarative one, the functional one, and the imperative one. The imperative one was and remains implemented in Ruby, the functional one is implemented in a functional language (this part is under the NDA, while everything I am talking about here is part of the public talks we gave throughout 2017 and 2018), and the declarative part, which can loosely be thought of as being BNF-based, is now served by the C++ engine.

        The C++ engine for the BNF part removed the immediate blockers, gave us 500x+ performance speedup, and enabled us to launch new product features, most notably query completions, suggestions, and spelling corrections.

        See more
        Conor Myhrvold
        Conor Myhrvold
        Tech Brand Mgr, Office of CTO at Uber | 16 upvotes 864.4K views
        atUber TechnologiesUber Technologies
        Jaeger
        Jaeger
        Python
        Python
        Java
        Java
        Node.js
        Node.js
        Go
        Go
        C++
        C++
        Kubernetes
        Kubernetes
        JavaScript
        JavaScript
        OpenShift
        OpenShift
        C#
        C#
        Apache Spark
        Apache Spark

        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

        See more
        Martin Lonkwitz
        Martin Lonkwitz
        Software engineering at SVA | 3 upvotes 16K views
        C++
        C++
        Java
        Java

        Maybe not in everybody focus but I do like programming for @z/OS, @z/Linux and @z/VM with C++ , Java and Assembler . Who else love to dig into control blocks and get a deep dive into system resources to run things in a high valuable way ? And also go all the way up to the application to enlight all the infrastructure features to it ?

        See more
        C++
        C++
        Rust
        Rust

        Initially, I wrote my text adventure game in C++, but I later rewrote my project in Rust. It was an incredibly easier process to use Rust to create a faster, more robust, and bug-free project.

        One difficulty with the C++ language is the lack of safety, helpful error messages, and useful abstractions when compared to languages like Rust. Rust would display a helpful error message at compile time, while C++ would often display "Segmentation fault (core dumped)" or wall of STL errors in the middle. While I would frequently push buggy code to my C++ repository, Rust enabled me to only even submit fully functional code.

        Along with the actual language, Rust also included useful tools such as rustup and cargo to aid in building projects, IDE tooling, managing dependencies, and cross-compiling. This was a refreshing alternative to the difficult CMake and tools of the same nature.

        See more
        Dan Larsen
        Dan Larsen
        CTO at FlowStack | 7 upvotes 40.4K views
        atFlowStack ApSFlowStack ApS
        Go
        Go
        Rust
        Rust
        C
        C
        C++
        C++

        At FlowStack we write most of our backend in Go. Go is a well thought out language, with all the right compromises for speedy development of speedy and robust software. It's tooling is part of what makes Go such a great language. Testing and benchmarking is built into the language, in a way that makes it easy to ensure correctness and high performance. In most cases you can get more performance out of Rust and C or C++, but getting everything right is more cumbersome.

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        Reviews of C++ and Jolie
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        How developers use C++ and Jolie
        Avatar of Marc3842h
        Marc3842h uses C++C++

        C++ is used in Shiro (https://github.com/Marc3842h/shiro).

        C++ is a high performance, low level programming language. Game servers need to run with fast performance to be able to reliably serve players across the globe.

        Avatar of OnlineCity
        OnlineCity uses C++C++

        The most latency sensitive parts are written in C++. Due to our interconnected services architecture, we use either Python or C++ for each service, with the performance critical parts being C++14.

        Avatar of POROWNEO.PL
        POROWNEO.PL uses C++C++

        Used to write PHP extensions - AZTEC Decoder - License Driver scan - Axis2/C to PHP wrapper and Job-scheduler - Barbershop

        Avatar of Luca Fulchir
        Luca Fulchir uses C++C++

        Performance, zero-overhead abstractions and memory safety of the modern C++ language make this the perfect language for the project.

        Avatar of ApertusVR
        ApertusVR uses C++C++

        The main programming language of ApertusVR. C++11 & CMake provides multi-platform targeting. The architecture is modular.

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