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Zustand: New. &Uumlber den AutorDr. Qinghua Lu is a principal research scientist and leads the Responsible AI science team at CSIROs Data61. She received her PhD from University of New South Wales in 2013. Her current research int.

Taschenbuch. Zustand: Neu. Neuware - The First Complete Guide to DevOps for Software Architects DevOps promises to accelerate the release of new software features and improve monitoring of systems in production, but its crucial implications for software architects and architecture are often ignored. In DevOps: A Software Architect s Perspective, three leading architects address these issues head-on. The authors review decisions software architects must make in order to achieve DevOps goals and clarify how other DevOps participants are likely to impact the architect s work. They also provide the organizational, technical, and operational context needed to deploy DevOps more efficiently, and review DevOps impact on each development phase. The authors address cross-cutting concerns that link multiple functions, offering practical insights into compliance, performance, reliability, repeatability, and security. This guide demonstrates the authors ideas in action with three real-world case studies: datacenter replication for business continuity, management of a continuous deployment pipeline, and migration to a microservice architecture. Comprehensive coverage includes Why DevOps can require major changes in both system architecture and IT roles How virtualization and the cloud can enable DevOps practices Integrating operations and its service lifecycle into DevOps Designing new systems to work well with DevOps practices Integrating DevOps with agile methods and TDD Handling failure detection, upgrade planning, and other key issues Managing consistency issues arising from DevOps independent deployment models Integrating security controls, roles, and audits into DevOps Preparing a business plan for DevOps adoption, rollout, and measurement. …

Gebunden. Zustand: New. This book provides a conceptual discussion of DevOps practices and their implications on system design. It covers team practices related to DevOps, build and test, deployment, and post deployment. This is the only book that deals with the system implicat.

Taschenbuch. Zustand: Neu. Neuware - Master the Engineering of AI Systems: The Essential Guide for Architects and Developers In today's rapidly evolving world, integrating artificial intelligence (AI) into your systems is no longer optional. Engineering AI Systems: Architecture and DevOps Essentials is a comprehensive guide to mastering the complexities of AI systems engineering. This book combines robust software architecture with cutting-edge DevOps practices to deliver high-quality, reliable, and scalable AI solutions. Experts Len Bass, Qinghua Lu, Ingo Weber, and Liming Zhu demystify the complexities of engineering AI systems, providing practical strategies and tools for seamlessly incorporating AI in your systems. You will gain a comprehensive understanding of the fundamentals of AI and software engineering and how to combine them to create powerful AI systems. Through real-world case studies, the authors illustrate practical applications and successful implementations of AI in small- to medium-sized enterprises across various industries, and offer actionable strategies for designing, building, and operating AI systems that deliver real business value. - Lifecycle management of AI models, from data preparation to deployment - Best practices in system architecture and DevOps for AI systems - System reliability, performance, and security in AI implementations - Privacy and fairness in AI systems to build trust and achieve compliance - Effective monitoring and observability for AI systems to maintain operational excellence - Future trends in AI engineering to stay ahead of the curve Equip yourself with the tools and understanding to lead your organization's AI initiatives. Whether you are a technical lead, software engineer, or business strategist, this book provides the essential insights you need to successfully engineer AI systems. Register your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.…