×
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 :: »

Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu

(ebook) (audiobook) (audiobook) Książka w języku 1
Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu - okladka książki

Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu - okladka książki

Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu - audiobook MP3

Kubernetes Cookbook. Practical solutions to container orchestration - Second Edition Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu - audiobook CD

Autorzy:
Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
554
Dostępne formaty:
     PDF
     ePub
     Mobi
Kubernetes is an open source orchestration platform to manage containers in a cluster environment. With Kubernetes, you can configure and deploy containerized applications easily. This book gives you a quick brush up on how Kubernetes works with containers, and an overview of main Kubernetes concepts, such as Pods, Deployments, Services and etc.
This book explains how to create Kubernetes clusters and run applications with proper authentication and authorization configurations. With real-world recipes, you'll learn how to create high availability Kubernetes clusters on AWS, GCP and in on-premise datacenters with proper logging and monitoring setup. You'll also learn some useful tips about how to build a continuous delivery pipeline for your application. Upon completion of this book, you will be able to use Kubernetes in production and will have a better understanding of how to manage containers using Kubernetes.

Wybrane bestsellery

O autorach książki

Hideto Saito has around 20 years of experience in the computer industry. In 1998, while working for Sun Microsystems Japan, he was impressed by Solaris OS, OPENSTEP, and Sun Ultra Enterprise 10000 (also known as StarFire). He then decided to pursue UNIX and macOS operating systems. In 2006, he relocated to southern California as a software engineer to develop products and services running on Linux and macOS X. He was especially renowned for his quick Objective-C code when he was drunk. He is also an enthusiast of Japanese anime, drama, and motorsports, and loves Japanese Otaku culture.
Hui-Chuan Chloe Lee is a DevOps and software developer. She has worked in the software industry on a wide range of projects for over five years. As a technology enthusiast, she loves trying and learning about new technologies, which makes her life happier and more fulfilling. In her free time, she enjoys reading, traveling, and spending time with the people she love
Ke-Jou Carol Hsu has three years of experience working as a software engineer and is currently a PhD student in the area of computer systems. Not only involved programming, she also enjoys getting multiple applications and machines perfectly working together to solve big problems. In her free time, she loves movies, music, cooking, and working out.

Hideto Saito, Hui-Chuan Chloe Lee, Ke-Jou Carol Hsu - pozostałe książki

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
107,10 zł
Dodaj do koszyka
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.