Manage your WebApp virtual application pattern from Rational Application Developer

Using the IBM Workload Deployer plugin provided with RAD, you can deploy a web application virtual application pattern directly from the RAD environment. Here I will explain the steps to install this plugin. Continue reading

Navigate a shared services workload in PureApplication System

Learn to build shared services, a workload that provides common capabilities for other workloads

James Kochuba, WebSphere Cloud Shared Services Architect, IBM


Summary:  IBM® PureApplication™ System and IBM Workload             Deployer provide capabilities to run many different workloads in the cloud             — one of those is shared services, a type of workload, that helps clients provide common capabilities for other workloads. These common capabilities and runtime services improve the cloud density while simplifying the usage of complex or advanced features. In this article, the authors explain some basic concepts of shared services, describe the sample shared service plug-ins in the Plug-in Development Kit (PDK) which provides a strong starting point to create new shared services. They also walk you through converting the sample shared service into a functional generic media shared service, a generic file storage repository where client deployments can obtain common files. Continue Reading ->

How to use the Elastic Load Balancer provided by the IBM SmartCloud Application Services

The IBM SmartCloud Application Workload Service provides an ‘Elastic Load Balancer’ service or also called ‘ELB’. In this article, and thanks to the help provided by Thomas Mikalsen, I will explain how to setup it. Continue reading

Elasticity – Unprecedented Automation & Simplicity in the PureApplication System

By Binh Nguyen on

One issue with cloud centric applications is how to effectively and efficiently deploy the applications that provides elasticity or on-demand scalability. The IBM PureApplication System provides a unique way to scale Web applications according to traffic and performance, simplifying the deployment experience, and releasing the administrators from the manual and time consuming error-prone configurations.

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