As part of the Vaughn Vernon Signature Series, this title was hand-selected for the practical, delivery-oriented knowledge that architects and software engineers can quickly apply. It includes in-depth guidance for addressing today's key quality attributes and cross-cutting concerns such as security, performance, scalability, resilience, data, and emerging technologies. Each key technique is demonstrated through a start-to-finish case study reflecting the authors’ deep experience with complex software environments. Key topics include:

Creating sustainable, coherent systems that meet functional requirements and the quality attributes stakeholders care about
Understanding team-based software architecture and architecture as a "flow of decisions"
Understanding crucial issues of data management, integration, and change, and the impact of varied data technologies on architecture
Architecting for security, including continuous threat modeling and mitigation
Architecting for scalability and resilience, including scaling microservices and serverless environments
Using architecture to improve performance in continuous delivery environments
Using architecture to apply emerging technologies successfully

Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.

Pytorch Pocket Reference: Building And Deploying Deep Learning Models Joe Papa

Pytorch Pocket Reference: Building And Deploying Deep Learning Models Joe Papa

579.60 TL

Pytorch Pocket Reference: Building And Deploying Deep Learning Models Joe Papa