May 14, 2024
2 minute read
Core Services forms the foundation of modern cloud computing and offers services that help you easily host and manage applications and data without being burdened with the complexities of managing complex infrastructure. It is a highly sought-after skill that can open doors to a world of opportunities in the technology sector. The knowledge and skills gained from studying this topic can help you to build a strong foundation in cloud computing and become a valuable asset to any organization.
Why Study Core Services?
6jbono|
Find a path to becoming a Core Services. Learn more at:
OpenCourser.com/topic/6jbono/core
Reading list
We've selected six books
that we think will supplement your
learning. Use these to
develop background knowledge, enrich your coursework, and gain a
deeper understanding of the topics covered in
Core Services.
This comprehensive textbook provides an in-depth overview of cloud computing, covering core concepts, technologies, and best practices. It is suitable for students, professionals, and researchers seeking a comprehensive understanding of the field.
Discusses the principles and best practices of microservices architecture. It covers topics such as service discovery, load balancing, and distributed tracing. It's a valuable resource for software architects and developers who want to design and build microservices-based applications.
Introduces cloud native DevOps practices and tools. It covers topics such as continuous integration and delivery, infrastructure automation, and monitoring. It's an essential resource for DevOps engineers and developers who want to build and operate cloud applications effectively.
Provides a comprehensive overview of cloud security concepts, threats, and best practices. It covers topics such as cloud security architecture, cloud access control, and cloud incident response. It's an essential resource for security professionals and cloud architects who want to secure cloud environments.
Provides a practical introduction to machine learning using the R programming language. It covers topics such as data exploration, model building, and model evaluation. It's a valuable resource for data scientists and analysts who want to use R for machine learning projects.
Provides a comprehensive overview of Apache Hadoop, an open-source framework for distributed data processing. It covers topics such as Hadoop architecture, data storage, and data processing. It's an essential resource for anyone who wants to build and manage Hadoop clusters.
For more information about how these books relate to this course, visit:
OpenCourser.com/topic/6jbono/core
Save
