Description Start using Kubernetes in complex big data and enterprise applications, including Docker containers.
He also served as the technical reviewer on Web Logic: The Definitive Guide (O\'Reilly Media, 2004) and Ruby Programming for the Absolute Beginner (Cengage. 0 Database Persistence with Oracle Fusion Middleware 11g, and Java EE Development in Eclipse IDE (Packthing). 0 and Oracle JDeveloper for J2EE Development, Processing XML Documents with Oracle JDeveloper 11g, EJB 3.
Deepak is also the author of JDBC 4.
Deepak is the coauthor of Pro XML Development with Java Technology (Apress, 2006).
He has worked in the fields of XML, Java programming, and Java EE for over five years.
Deepak is an Oracle-certified Java programmer and Web component developer.
About the Author Deepak Vohra is a consultant and a principal member of the Nu Bean-dot-com software company. org/content/con Web Doc/58512) What You Will Learn Install Kubernetes on a single node Set environment variables Create multi-container pods using Docker Use volumes Use Kubernetes with the Apache Hadoop ecosystem, No SQL databases, and RDBMSs Install Kubernetes on a multi-node cluster Who This Book Is For Application developers including Apache Hadoop developers, database developers and No SQL developers. bcs. "a concise but clear introduction to containers, Docker and Kubernetes, using simple real-world examples to pass on the core concepts, via repetition, and is a very useful enabler." 10/10Dave Hay MBCS CITP: review for BCS, The Chartered Institute for IT (http: //www.
The book concludes with using multi container pods and installing Kubernetes on a multi node cluster.
Next, Kubernetes Microservices with Docker discusses using Kubernetes with all major groups of technologies such as relational databases, No SQL databases, and in the Apache Hadoop ecosystem.
Starting with installing Kubernetes on a single node, the book introduces Kubernetes with a simple Hello example and discusses using environment variables in Kubernetes.
Description Start using Kubernetes in complex big data and enterprise applications, including Docker containers
