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C
C

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C++
C++

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660
Erlang
Erlang

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What is C?

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 Erlang?

Some of Erlang's uses are in telecoms, banking, e-commerce, computer telephony and instant messaging. Erlang's runtime system has built-in support for concurrency, distribution and fault tolerance. OTP is set of Erlang libraries and design principles providing middle-ware to develop these systems.
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    What are some alternatives to C, C++, and Erlang?
    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!
    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.
    C#
    C# (pronounced "See Sharp") is a simple, modern, object-oriented, and type-safe programming language. C# has its roots in the C family of languages and will be immediately familiar to C, C++, Java, and JavaScript programmers.
    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.
    PHP
    Fast, flexible and pragmatic, PHP powers everything from your blog to the most popular websites in the world.
    See all alternatives
    Decisions about C, C++, and Erlang
    StackShare Editors
    StackShare Editors
    Consul
    Consul
    Elixir
    Elixir
    Erlang
    Erlang

    Postmates built a tool called Bazaar that helps onboard new partners and handles several routine tasks, like nightly emails to merchants alerting them about items that are out of stock.

    Since they ran Bazaar across multiple instances, the team needed to avoid sending multiple emails to their partners by obtaining lock across multiple hosts. To solve their challenge, they created and open sourced ConsulMutEx, and an Elixir module for acquiring and releasing locks with Consul and other backends.

    It works with Consul鈥檚 KV store, as well as other backends, including ets, Erlang鈥檚 in-memory database.

    See more
    marcoalmeida
    marcoalmeida
    Go
    Go
    C
    C
    Python
    Python
    Rust
    Rust

    One important decision for delivering a platform independent solution with low memory footprint and minimal dependencies was the choice of the programming language. We considered a few from Python (there was already a reasonably large Python code base at Thumbtack), to Go (we were taking our first steps with it), and even Rust (too immature at the time).

    We ended up writing it in C. It was easy to meet all requirements with only one external dependency for implementing the web server, clearly no challenges running it on any of the Linux distributions we were maintaining, and arguably the implementation with the smallest memory footprint given the choices above.

    See more
    Dima Korolev
    Dima Korolev
    Principal Maintainer at Current | 3 upvotes 21.9K 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 | 25 upvotes 2M views
    atUber TechnologiesUber Technologies
    Jaeger
    Jaeger
    Python
    Python
    Java
    Java
    Node.js
    Node.js
    Go
    Go
    C++
    C++
    Kubernetes
    Kubernetes
    JavaScript
    JavaScript
    Red Hat OpenShift
    Red Hat 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
    Conor Myhrvold
    Conor Myhrvold
    Tech Brand Mgr, Office of CTO at Uber | 12 upvotes 875.9K views
    atUber TechnologiesUber Technologies
    C
    C
    Java
    Java
    JavaScript
    JavaScript

    Why Uber developed H3, our open source grid system to make geospatial data visualization and exploration easier and more efficient:

    We decided to create H3 to combine the benefits of a hexagonal global grid system with a hierarchical indexing system. A global grid system usually requires at least two things: a map projection and a grid laid on top of the map. For map projection, we chose to use gnomonic projections centered on icosahedron faces. This projects from Earth as a sphere to an icosahedron, a twenty-sided platonic solid. The H3 grid is constructed by laying out 122 base cells over the Earth, with ten cells per face. H3 supports sixteen resolutions: https://eng.uber.com/h3/

    (GitHub Pages : https://uber.github.io/h3/#/ Written in C w/ bindings in Java & JavaScript )

    See more
    Martin Lonkwitz
    Martin Lonkwitz
    Software engineering at SVA | 3 upvotes 23.7K 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
    Maxwell Anderson
    Maxwell Anderson
    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
    Sebastian G臋bski
    Sebastian G臋bski
    CTO at Shedul/Fresha | 7 upvotes 70.2K views
    atFresha EngineeringFresha Engineering
    Elixir
    Elixir
    Phoenix Framework
    Phoenix Framework
    Erlang
    Erlang
    Credo
    Credo
    Hex
    Hex
    AppSignal
    AppSignal

    Another major decision was to adopt Elixir and Phoenix Framework - the DX (Developer eXperience) is pretty similar to what we know from RoR, but this tech is