Kubernetes for Developers (Manning)
Friday, 05 April 2024

This book provides methods for deploying your apps on Kubernetes, even for small-to-medium sized applications. William Denniss shows how to migrate your existing apps onto Kubernetes without a rebuild, and implement modern cloud native architectures that can handle your future growth.

<ASIN:1617297178 >

This hands-on guide helps your first steps into Kubernetes using the Google Kubernetes Engine (GKE) service, including how the GKE’s automation tools can perform automatic checks and scaling.

Author: William Denniss
Publisher: Manning
Date: March 2024
Pages: 320
ISBN: 978-1617297175
Print: 1617297178
Kindle: B099HVGRT9
Audience: General
Level: Introductory/Intermediate
Category: Frameworks

Topics include:

  • Containerize a web application with Docker
  • Host a containerized app on Kubernetes with a public cloud service
  • Save money and improve performance with cloud native technologies
  • Make your deployments reliable and fault tolerant
  • Prepare your deployments to scale without a redesign
  • Monitor, debug and tune application deployments on Kubernetes

 

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Professional C++, 6th Ed (Wiley)

Author: Marc Gregoire
Publisher: Wiley
Date: February 2024
Pages: 1376
ISBN:978-1394193172
Print:1394193173
Kindle:B0CRXK5191
Audience: C++ developers
Rating: 4
Reviewer: Mike James
Can a book on C++ get any bigger and does it need to?



Machine Learning with PyTorch and Scikit-Learn

Author: Sebastian Raschka, Yuxi (Hayden) Liu & Vahid Mirjalili
Publisher: Packt
Date: February 2022
Pages: 770
ISBN: 978-1801819312
Print: 1801819319
Kindle: B09NW48MR1
Audience: Python developers interested in machine learning
Rating: 5
Reviewer: Mike James
This is a very big book of machine le [ ... ]


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