Core Data

1 Foundations of data centers: Key Concepts and Taxonomies -- 2 ITSDM: A Methodology for IT Services Design -- 3 Managing Risks on Data Centers through Dashboards -- 4 Risk Analysis in Data Center Disaster Recovery Plans -- 5 Best practices in Data Center Management Case: KIO Networks -- 6 QoS in NaaS (Network as a Service) using Software Defined Networking -- 7 Optimization of Data Center Fault-Tolerance Design -- 8 Energetic Data Center Design Considering Energy Efficiency Improvements During Operation -- 9 Demand-side Flexibility and Supply-side Management: The Use Case of Data Centers and Energy Utilities -- 10 DevOps: Foundations and its Utilization in Data Centers -- 11 Sustainable and Resilient Network Infrastructure Design for Cloud Data Centers -- 12 Application Software in Cloud-Ready Data Centers.;Annotation Core Data best practices by example: from simple persistency to multithreading and syncing. This book strives to give you clear guidelines for how to get the most out of Core Data while avoiding the pitfalls of this flexible and powerful framework. We start with a simple example app and extend it step by step as we talk about relationships, advanced data types, concurrency, syncing, and many other topics. Later on, we go well beyond what’s needed for the basic example app. We’ll discuss in depth how Core Data works behind the scenes, how to get great performance, the trade-offs between different Core Data setups, and how to debug and profile your Core Data code. All code samples in this book are written in Swift. We show how you can leverage Swift’s language features to write elegant and safe Core Data code. We expect that you’re already familiar with Swift and iOS, but both newcomers and experienced Core Data developers will find a trove of applicable information and useful patterns.