Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 270 MB | Duration: 38m
A step-by-step guide to creating and deploying production-quality microservices-based applications.

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 48.0 KHz
Language: English | Size: 1.76 GB | Duration: 4h 18m
This course is designed for the people who want to learn and build careers in the field of Data Science.

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Difficulty: Beginner | Genre: eLearning | Language: English | Duration: 12 Lectures (1h 41m) | Size: 801.4 MB
Description

English | 2021 | ISBN: 3110737507 | 212 pages | pdf, epub | 5.27 MB
The book series "Smart Computing Applications" provides a platform for researchers, academicians and practitioners to exchange ideas on recent theoretical and applied data science and computing technologies research, with a particular attention to the possible applications of such technologies in the industry, especially in the field of mechanical and industrial engineering.

English | 2021 | ISBN: 9781098116811 | 79 pages | PDF,EPUB | 4.58 MB
Kubernetes has become the operating system of today's cloud native world, providing a reliable and scalable platform for running containerized workloads. In this friendly, pragmatic book, cloud experts Justin Domingus and John Arundel show your development and operations staff what Kubernetes can do--and what you can do with it.
This updated second edition guides you through the growing Kubernetes ecosystem and provides practical solutions to everyday problems using tools currently in use in the software industry. You'll walk through an example containerized application running in Kubernetes step-by-step, from the development environment through the continuous deployment pipeline, with patterns you can use for your own applications. Make your development teams lean, fast, and effective by adopting Kubernetes and DevOps principles.

Big Data and Cloud Computing for Development: Lessons from Key Industries and Economies in the Global South By Nir Kshetri, Torbjörn Fredriksson, Diana Carolina Rojas Torres
2017 | 240 Pages | ISBN: 1138689041 | PDF | 5 MB
This book provides a framework for evaluating big data and cloud computing based on how they evolve to fit users' needs in developing countries in key areas, such as agriculture and education. The authors discuss how this framework can be utilized by businesses, governments, and consumers to accelerate economic growth and overcome information and communication barriers. By examining the ways in which cloud computing can drive social, economic, and environmental transformation, readers gain a nuanced understanding of the opportunities and challenges these technologies offer. The authors also provide an authoritative and up-to-date account of big data's diffusion into a wide range of developing economies, such as Brazil and China, illustrating key concepts through in-depth case studies. Special attention is paid to economic development in the context of the new Sustainable Development Goals formulated by the United Nations, introducing readers to the most modern standard of economic evaluation. Students of information management, entrepreneurship, and development, as well as policy makers, researchers, and practitioners, will find Big Data and Cloud Computing for Development an interesting read and a useful reference source.

Cloud Native Integration with Apache Camel:
Building Agile and Scalable Integrations for Kubernetes Platforms
English | 2021 | ISBN: 1484272102 | 282 Pages | PDF EPUB | 6 MB

Last Update: 8/2021
Duration: 1h35m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 870 MB
Genre: eLearning | Language: English

Last Update: 8/2021
Duration: 2h59m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.27 GB
Genre: eLearning | Language: English

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Advanced | Genre: eLearning | Language: English + srt | Duration: 1h 2m | Size: 105.3 MB
Moving applications and data from traditional systems to the public clouds was already challenging in normal times, but as many organizations saw in 2020, an unexpected crisis can require rapid decision making and can create unanticipated technology shifts for IT teams. In this course, instructor David Linthicum helps IT decision makers and administrators develop a plan designed around rapid migration of workloads. He covers crucial considerations, including identifying appropriate workloads, selecting a migration platform, and scaling the migration. He also examines recommended migration tools available on both AWS and Azure. After this course, you'll be better positioned to execute a successful rapid cloud migration of your applications and data.