ODBIERZ TWÓJ BONUS :: »

Implementing CI/CD Using Azure Pipelines. Manage and automate the secure flexible deployment of applications using real-world use cases Piti Champeethong, Roberto Mardeni

Język publikacji: 1
Implementing CI/CD Using Azure Pipelines. Manage and automate the secure flexible deployment of applications using real-world use cases Piti Champeethong, Roberto Mardeni - okladka książki

Implementing CI/CD Using Azure Pipelines. Manage and automate the secure flexible deployment of applications using real-world use cases Piti Champeethong, Roberto Mardeni - okladka książki

Autorzy:
Piti Champeethong, Roberto Mardeni
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
326
Dostępne formaty:
     PDF
     ePub

Ebook 29,90 zł najniższa cena z 30 dni

139,00 zł (-10%)
125,10 zł

Dodaj do koszyka lub Kup na prezent Kup 1-kliknięciem

29,90 zł najniższa cena z 30 dni

Poleć tę książkę znajomemu Poleć tę książkę znajomemu!!

Przenieś na półkę

Do przechowalni

Prezent last minute w ebookpoint.pl
Continuous integration and continuous delivery (CI/CD) are ubiquitous concepts in modern development. Azure Pipelines is one of the most popular services that you can utilize for CI/CD, and this book shows you how it works by taking you through the process of building and automating CI/CD systems using Azure Pipelines and YAML, simplifying integration with Azure resources and reducing human error.
You’ll begin by getting an overview of Azure Pipelines and why you should use it. Next, the book helps you get to grips with build and release pipelines, and then builds upon this by introducing the extensive power of YAML syntax, which you can use to implement and configure any task you can think of. As you advance, you’ll discover how to integrate Infrastructure as Code tools, such as Terraform, and perform code analysis with SonarQube. In the concluding chapters, you’ll delve into real-life scenarios and hands-on implementation tasks with Microsoft Azure services, AWS, and cross-mobile application with Flutter, Google Firebase, and more.
By the end of this book, you’ll be able to design and build CI/CD systems using Azure Pipelines with consummate ease, write code using YAML, and configure any task that comes to mind.

Wybrane bestsellery

O autorach książki

Piti Champeethong is a senior consulting engineer at MongoDB, Singapore. He has been a part of the software development community for over 20 years and specializes in database application development and CI/CD implementation. He is a Microsoft Certified Trainer, lecturer, and community leader. He lives in Thailand and engages with Thai tech communities, such as the MongoDB Thailand User Group and the Thailand .NET community by speaking at various events. He has made significant contributions to public repositories on .NET and MongoDB technologies, supporting the growth of the Thai tech community.
Roberto Mardeni has been working in the IT industry for over two decades. He specializes in software development, architecture, and DevSecOps practices around many different application platforms and CI/CD tools, typically focusing on Microsoft .NET and other open source programming languages. He has been working since 2017 as an application innovation specialist on the enterprise sales side at Microsoft, supporting their cloud business. He lives in the United States and helps some of the largest independent software vendors to adopt the Azure platform. This is his first foray into technical writing, but he has contributed to the open source community in different GitHub public repositories of his own and contributed to others as well.

Packt Publishing - inne książki

Zamknij

Przenieś na półkę
Dodano produkt na półkę
Usunięto produkt z półki
Przeniesiono produkt do archiwum
Przeniesiono produkt do biblioteki

Zamknij

Wybierz metodę płatności

Ebook
125,10 zł
Dodaj do koszyka
Sposób płatności
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.