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
Artificial Intelligence, Machine Learning, and Deep Learning (Mercury Learning)
Author: Oswald Campesato Publisher: Mercury Learning Date: February 2020 Pages: 300 ISBN: 978-1683924678 Print: 1683924673 Kindle: B084P1K9YP Audience: Developers interested in machine learning Rating: 4 Reviewer: Mike James
Another AI/ML book - is there room for another one?
|
Wild West To Agile (Addison-Wesley)
Author: Jim Highsmith Publisher: Addison-Wesley Pages: 304 ISBN: 978-0137961009 Print: 0137961006 Kindle: B0BXWP88KP Audience: Adherents of Agile methodology Rating: 4.5 Reviewer: Alex Denham
The subtitle of this book is Adventures in Software Development Evolution and Revolution and it is personal reminin [ ... ]
| More Reviews |
|