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Continuous delivery with Spinnaker : fast, safe, repeatable multi-cloud deployments /

Many companies are moving away from "big bang" software releases every six months or so to a continuous delivery (CD) model that enables IT to release updates frequently, sometimes even several times a day. Using Netflix and its open source Spinnaker CD platform as examples, this practical...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Burns, Emily (Autor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Sebastopol, CA : O'Reilly Media, 2018.
Edición:First edition.
Temas:
Acceso en línea:Texto completo (Requiere registro previo con correo institucional)

MARC

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520 |a Many companies are moving away from "big bang" software releases every six months or so to a continuous delivery (CD) model that enables IT to release updates frequently, sometimes even several times a day. Using Netflix and its open source Spinnaker CD platform as examples, this practical ebook demonstrates how a new host of tools can help you deploy software changes to production quickly, safely, and automatically. A team of experts from Netflix and Google show you how to automate deployments with Spinnaker across multiple cloud accounts, regions, and even multiple cloud platforms into continuous deployment pipelines. You'll learn how Spinnaker enables your company to design and automate a delivery process that fits not only your release cadence but also the business criticality of your application. Learn about the organizational and technical practices that enable continuous delivery Understand the fundamental issues you need to solve before successfully deploying software to the cloud Manage cloud resources for consistency across accounts, regions, and cloud providers Use Spinnaker's pipelines to structure deployments from customizable pieces Understand how CD pipelines to Kubernetes differ from pipelines to VM-based clouds Examine how Spinnaker ensures safety across cluster deployments and pipeline executions Learn how to integrate automated testing techniques such as chaos engineering and automated canary analysis into the delivery process 
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