Menu

Zaloguj się

Twoje konto

×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Szukaj

Zamknij

    Dostawa od 0,00zł

    TOP tytuł w super cenie » 50% taniej

    Mastering Elixir. Build and scale concurrent, distributed, and fault-tolerant applications André Albuquerque, Daniel Caixinha

    (ebook) (audiobook) (audiobook) Książka w języku angielskim
    Mastering Elixir. Build and scale concurrent, distributed, and fault-tolerant applications André Albuquerque, Daniel Caixinha - okladka książki

    Mastering Elixir. Build and scale concurrent, distributed, and fault-tolerant applications André Albuquerque, Daniel Caixinha - okladka książki

    Mastering Elixir. Build and scale concurrent, distributed, and fault-tolerant applications André Albuquerque, Daniel Caixinha - audiobook MP3

    Mastering Elixir. Build and scale concurrent, distributed, and fault-tolerant applications André Albuquerque, Daniel Caixinha - audiobook CD

    Autorzy:
    André Albuquerque, Daniel Caixinha
    Wydawnictwo:
    Packt Publishing (Z chęcią przeczytam książkę w języku polskim)
    Ocena:
    Bądź pierwszym, który oceni tę książkę
    Stron:
    574
    Dostępne formaty:
         PDF
         ePub
         Mobi
    Running concurrent, fault-tolerant applications that scale is a very demanding responsibility. After learning the abstractions that Elixir gives us, developers are able to build such applications with inconceivable low effort. There is a big gap between playing around with Elixir and running it in production, serving live requests. This book will help you fll this gap by going into detail on several aspects of how Elixir works and showing concrete examples of how to apply the concepts learned to a fully ?edged application. In this book, you will learn how to build a rock-solid application, beginning by using Mix to create a new project. Then you will learn how the use of Erlang's OTP, along with the Elixir abstractions that run on top of it (such as GenServer and GenStage), that allow you to build applications that are easy to parallelize and distribute. You will also master supervisors (and supervision trees), and comprehend how they are the basis for building fault-tolerant applications. Then you will use Phoenix to create a web interface for your application. Upon fnishing implementation, you will learn how to take your application to the cloud, using Kubernetes to automatically deploy, scale, and manage it. Last, but not least, you will keep your peace of mind by learning how to thoroughly test and then monitor your application.

    Wybrane bestsellery

    Selling helion.pl

    O autorze książki

    Daniel Caixinha is a software engineer at Onfido, where he is using Elixir to build resilient systems that can also handle the high growth of the business. After graduating from Instituto Superior Tcnico, he joined the startup world, mainly using Ruby, but also got the chance to play around with Elixir. Upon joining Onfido, he got the chance to take Elixir more seriously, which made him fall in love with functional programming in general, and Elixir in particular. Besides building Elixir applications, he is fostering the use of Elixir, being also a member of the Lisbon Elixir meetup.

    Packt Publishing - inne książki

    Zamknij

    Przenieś na półkę

    Proszę czekać...
    ajax-loader

    Zamknij

    Wybierz metodę płatności

    Ebook
    125,10 zł
    Dodaj do koszyka

    Wydawnictwo Naukowe Helion »

    Grafika Wydawnictwo Naukowe Helion. Dołącz do nas!
    Zamknij Pobierz aplikację mobilną Ebookpoint
    Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.