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Designing Networks and Services for the Cloud
Designing Networks and Services for the Cloud Delivering business-grade cloud applications and services A rapid, easy-to-understand approach to delivering a secure, resilient, easy-to-manage, SLA-driven cloud experience Designing Networks and Services for the Cloud helps you understand the design and architecture of networks and network services that enable the delivery of business-grade cloud services. Drawing on more than 40 years of experience in network and cloud design, validation, and deployment, the authors demonstrate how networks spanning from the Enterprise branch/HQ and the service provider Next-Generation Networks (NGN) to the data center fabric play a key role in addressing the ...
Cloud Native Go
What do Docker, Kubernetes, and Prometheus have in common? All of these cloud native technologies are written in the Go programming language. This practical book shows you how to use Go's strengths to develop cloud native services that are scalable and resilient, even in an unpredictable environment. You'll explore the composition and construction of these applications, from lower-level features of Go to mid-level design patterns to high-level architectural considerations. Each chapter builds on the lessons of the last, walking intermediate to advanced developers through Go to construct a simple but fully featured distributed key-value store. You'll learn best practices for adopting Go as yo...
Advanced Mechatronics and MEMS Devices II
This book introduces the state-of-the-art technologies in mechatronics, robotics, and MEMS devices in order to improve their methodologies. It provides a follow-up to "Advanced Mechatronics and MEMS Devices" (2013) with an exploration of the most up-to-date technologies and their applications, shown through examples that give readers insights and lessons learned from actual projects. Researchers on mechatronics, robotics, and MEMS as well as graduate students in mechanical engineering will find chapters on: Fundamental design and working principles on MEMS accelerometers Innovative mobile technologies Force/tactile sensors development Control schemes for reconfigurable robotic systems Inertial microfluidics Piezoelectric force sensors and dynamic calibration techniques ...And more. Authors explore applications in the areas of agriculture, biomedicine, advanced manufacturing, and space. Micro-assembly for current and future industries is also considered, as well as the design and development of micro and intelligent manufacturing.
Plus Magazine
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IP Routing on Cisco IOS, IOS XE, and IOS XR
An Essential Guide to Understanding and Implementing IP Routing Protocols Cisco’s authoritative single-source guide to IP routing protocols for enterprise and service provider environments Service providers and large enterprises are converging on a common IP infrastructure that supports rapid deployment of high-value services. Demand is soaring for highly skilled IP network engineers who can implement and run these infrastructures. Now, one source combines reliable knowledge about contemporary IP routing protocols and expert hands-on guidance for using them with Cisco IOS, IOS XE, and IOS XR operating systems. After concisely reviewing the basics, three Cisco experts fully explain static r...
Selling to Zebras
Even the most competitive companies only close about 15 percent of the deals in their sales pipelines. That means that salespeople spend time with prospects who, 85 percent of the time, aren't going to buy. Wouldn't those salespeople rather spend more time pursuing prospects they knew they could close? Or spend time with their prospects where it matters most at an executive level? Readers who are ready for exceptional results for themselves and their companies need "Selling to Zebras". The Zebra way can help salespeople identify the perfect prospects for their companies--their Zebras--and develop a sales process that will help them close deals 90 percent of the time. The Zebra method of selling will: Increase close rates; Shorten sales cycles; Increase average deal size; Reduce discounting and increase margins; Make better use of scarce resources; Make customers happy, creating a stable of great references. Jeff and Chad Koser don't just offer theories and concepts. They give readers specific tools, models, and spreadsheets they can customise to make the Zebra way the best way for their companies to do business.
Cisco CCNA 200-301 PassFast
Find the latest and up-to-date Cisco CCNA exam objective information in the Todd Lammle Authorized Cisco CCNA 200-301 PassFast book! Almost 900 deep and intense questions to help you study and pass the newest CCNA exam! The precise study material presented in this guide will really test your skills so you'll know when you are ready for the real exam!
CCDE Study Guide
The authoritative, business-driven study resource for the tough CCDE Practical Exam CCDE Study Guide is written and reviewed by CCDE engineers and helps you to both improve your design skills and to study for and pass the CCDE exam. Network design is an art, combining broad technology knowledge and experience. This book covers a broad number of technologies, protocols and design options, and considerations that can bring these aspects together and show how they can be used and thought about based on different requirements and business goals. Therefore, this book does not attempt to teach foundational technology knowledge, instead each section: Highlights, discusses, and compares the limitati...
Deep Learning
This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immedia...
