• Learning DevOps, container, and Kubernetes within one book.
• Leverage Kubernetes as a platform to deploy, scale, and run containers efficiently.
• A practical guide towards container management and...

• Learn how to store, manage, and access your data with AWS SDKs
• Study the Amazon S3 pricing model and learn how to calculate costs by simulating practical...

• Learn how you can take advantage of IDE for debugging and testing Python applications
• Enhance your efficiency in Django development with Visual Studio IntelliSense
• ...

This book is written for Windows professionals who are familiar with PowerShell and want to learn to build, operate, and administer their Windows workloads in the Microsoft cloud. Pro PowerShell for Microsoft Azure is packed with practical examples and scripts, with easy-to-follow explanations for a wide range of day-to-day...

• Learn the concepts of Bigdata and Devops and Implement them
• Get Acquainted with DevOps Frameworks Methodologies and Tools
• A practical approach to build and work efficiently with your...

Your software needs to leverage multiple cores, handle thousands of users and terabytes of data, and continue working in the face of both hardware and software failure. Concurrency and parallelism are the keys, and Seven Concurrency Models in Seven Weeks equips you for this new world. See how emerging technologies such as actors and...

• Solve your data analytics problems with the Elastic Stack
• Improve your user search experience with Elasticsearch and develop your own Elasticsearch plugins
• Design your index, configure it, and distribute it ― you'll...

Practical Node.js is your step-by-step guide to learning how to build a wide range of scalable real-world web applications using a professional development toolkit. Node.js is an innovative and highly efficient platform for creating web services. But Node.js doesn't live in a vacuum! In a modern web development, many different...

Extensively updated and revised, this is the definitive real-world guide to planning, deploying, and managing VMware ESX Server 3.5,...

Data clustering is a common technique for statistical data analysis, which is used in many fields, including machine learning, data mining, pattern recognition, image analysis and bioinformatics. Clustering is the classification of similar objects into different groups, or more precisely, the partitioning of a data set into subsets...