×
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 :: »

Go for DevOps. Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform John Doak, David Justice

(ebook) (audiobook) (audiobook) Książka w języku 1
Go for DevOps. Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform John Doak, David Justice - okladka książki

Go for DevOps. Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform John Doak, David Justice - okladka książki

Go for DevOps. Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform John Doak, David Justice - audiobook MP3

Go for DevOps. Learn how to use the Go language to automate servers, the cloud, Kubernetes, GitHub, Packer, and Terraform John Doak, David Justice - audiobook CD

Autorzy:
John Doak, David Justice
Serie wydawnicze:
Learning
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
634
Dostępne formaty:
     PDF
     ePub
Go is the go-to language for DevOps libraries and services, and without it, achieving fast and safe automation is a challenge. With the help of Go for DevOps, you'll learn how to deliver services with ease and safety, becoming a better DevOps engineer in the process.
Some of the key things this book will teach you are how to write Go software to automate configuration management, update remote machines, author custom automation in GitHub Actions, and interact with Kubernetes. As you advance through the chapters, you'll explore how to automate the cloud using software development kits (SDKs), extend HashiCorp's Terraform and Packer using Go, develop your own DevOps services with gRPC and REST, design system agents, and build robust workflow systems.
By the end of this Go for DevOps book, you'll understand how to apply development principles to automate operations and provide operational insights using Go, which will allow you to react quickly to resolve system failures before your customers realize something has gone wrong.

Wybrane bestsellery

O autorach książki

John Doak is the principal manager of Layer 1 Reliability Engineering at Microsoft. John led the development of the Azure Data Explorer and Microsoft Authentication Library Go SDKs. Previously, he was a Staff Site Reliability Engineer at Google. As part of network engineering, he created many of their first network automation systems. John led the migration of that group from Python to Go, developing Go training classes that have been taught around the world. He was a pivotal figure in transforming the network team to a network/systems group that integrated with SRE. Prior to that, he worked for Lucasfilm in video games and film. You can find his musings on Go/SRE topics and his Go classes on the web.
David Justice is the Principal Software Engineer Lead for the Azure K8s Infrastructure and Steel Thread teams that maintain a variety of CNCF and Byte Code Alliance projects. He is a maintainer of Cluster API Provider Azure and contributor to Cluster API. Prior to that, David was the technical assistant to the Azure CTO where he was responsible for Azure cross-group technical strategy and architecture. Early on at Microsoft, he was a Program Manager leading Azure SDKs and CLIs where he transitioned all Azure services to describe themselves using OpenAPI specifications in GitHub, and established automations to generate Azure reference docs, SDKs, and CLIs. Prior to Microsoft, David was the CTO of a mobile CI/CD SaaS called CISimple

Zobacz pozostałe książki z serii Learning

Packt Publishing - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
161,10 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.