This book puts high-level design theory to work in a .NET context, teaching the key skills, technologies, and best practices required to become an effective .NET software architect. In this fourth edition Gabriel Baptista and Francesco Abbruzzese put emphasis on a case study that will bring skills to life, and take an even closer look at Blazor and explore OpenTelemetry for observability, as well as a more practical dive into preparing .NET microservices for Kubernetes integration.
<ASIN:1805127659 >
Author: Gabriel Baptista and Francesco Abbruzzese Publisher: Packt Date: February 2024 Pages: 756 ISBN: 978-1805127659 Print: 1805127659 Audience: .NET developers Level: Intermediate Category: ASP.NET and C#
Topics include:
- Program and maintain Azure DevOps and explore GitHub Projects
- Manage software requirements to design functional and non-functional needs
- Apply architectural approaches such as layered architecture and domain-driven design
- Make effective choices between cloud-based and data storage solutions
- Implement resilient frontend microservices, worker microservices, and distributed transactions
- Understand when to use test-driven development (TDD) and alternative approaches
- Choose the best option for cloud development, from IaaS to Serverless
For recommendations of C# books see C# Books - Pick of the Shelf in our Programmer's Bookshelf section.
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Classic Computer Science Problems in Java
Author: David Kopec Publisher: Manning Date: January 2021 Pages: 264 ISBN: 978-1617297601 Print: 1617297607 Audience: Java developers Rating: 4 Reviewer: Mike James Getting someone else to do the hard work of converting classic problems to code seems like a good idea. It all depends which problems [ ... ]
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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?
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