IBM Redbooks

Bhargav Perepa

Vasfi Gucer

Manav Gupta

Ann Marie Fred

Eduardo A Patrocinio

Henryk Gorski

Patrick M Ryan

Richard Osowski

Ryan C Livesey

Many types of web applications are running on the Internet today. There are also as many ways to manage and maintain the infrastructure that powers those applications. IBM® BluemixTM delivers quick and easy cloud capabilities to deploy and maintain your web application, with minimal hassle and overhead. As you follow along with four lab-style scenarios, this IBM RedpaperTM publication demonstrates how to create and deploy a web-based collaboration application on IBM Bluemix. The application chosen for these scenarios is Etherpad Lite, an open-source web-based collaboration application. Each lab extends the functionality of the Etherpad Lite application and to give you a good foundation for discovering the additional powerful capabilities that are available on Bluemix. The target audience for this paper is technical cloud specialists who are familiar with the technology of enterprise applications, but might be new to Bluemix.

IBM Bluemix Architecture Series: Web Application Hosting on IBM Containers

Shishir Narain

Valerie Lampkin

Shahir Daya

Nguyen Van Duy

Kameswara Eati

Carlos M Ferreira

Dejan Glozic

Sunil Joshi

Marcelo Martins

Ramratan Vennam

Microservices is an architectural style in which large, complex software applications are composed of one or more smaller services. Each of these microservices focuses on completing one task that represents a small business capability. These microservices can be developed in any programming language. They communicate with each other using language-neutral protocols, such as Representational State Transfer (REST), or messaging applications, such as IBM® MQ Light. This IBM Redbooks® publication gives a broad understanding of this increasingly popular architectural style, and provides some real-life examples of how you can develop applications using the microservices approach with IBM BluemixTM. The source code for all of these sample scenarios can be found on GitHub (https://github.com/). The book also presents some case studies from IBM products. We explain the architectural decisions made, our experiences, and lessons learned when redesigning these products using the microservices approach. Information technology (IT) professionals interested in learning about microservices and how to develop or redesign an application in Bluemix using microservices can benefit from this book.

Microservices from Theory to Practice: Creating Applications in IBM Bluemix Using the Microservices Approach

Wei-Dong Zhu

Ven Kumar

Sujatha Perepa

Arvind Sathi

Craig Statchuk

Big data is currently one of the most critical emerging technologies. Organizations around the world are looking to exploit the explosive growth of data to unlock previously hidden insights in the hope of creating new revenue streams, gaining operational efficiencies, and obtaining greater understanding of customer needs. It is important to think of big data and analytics together. Big data is the term used to describe the recent explosion of different types of data from disparate sources. Analytics is about examining data to derive interesting and relevant trends and patterns, which can be used to inform decisions, optimize processes, and even drive new business models. With today's deluge of data comes the problems of processing that data, obtaining the correct skills to manage and analyze that data, and establishing rules to govern the data's use and distribution. The big data technology stack is ever growing and sometimes confusing, even more so when we add the complexities of setting up big data environments with large up-front investments. Cloud computing seems to be a perfect vehicle for hosting big data workloads. However, working on big data in the cloud brings its own challenge of reconciling two contradictory design principles. Cloud computing is based on the concepts of consolidation and resource pooling, but big data systems (such as Hadoop) are built on the shared nothing principle, where each node is independent and self-sufficient. A solution architecture that can allow these mutually exclusive principles to coexist is required to truly exploit the elasticity and ease-of-use of cloud computing for big data environments. This IBM® RedpaperTM publication is aimed at chief architects, line-of-business executives, and CIOs to provide an understanding of the cloud-related challenges they face and give prescriptive guidance for how to realize the benefits of big data solutions quickly and cost-effectively.

Building Big Data and Analytics Solutions in the Cloud

Blockchain for Dummies

Manav Gupta

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