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Friday, July 18, 2014

Data Virtualization and Big Data

A new Video has been released on Data Virtualization and Big Data which was recorded during the Red Hat Technical Exchange in the APAC region. More videos can be found at the APAC You Tube Channel - http://www.youtube.com/user/redhatapac

Big Data and Data Virtualization - http://youtu.be/i0OmhEsTM_Q

You’re hearing a lot about big data these days. And big data and the technologies that store and process it, like Hadoop, aren’t just new data silos. You might be looking to integrate big data with existing enterprise information systems to gain better understanding of your business. You want to take informed action.

During this session, we’ll demonstrate how Red Hat JBoss Data Virtualization can integrate with Hadoop through Hive and provide users easy access to data. You’ll learn how Red Hat JBoss Data Virtualization:

* Can help you integrate your existing and growing data infrastructure.
* Integrates big data with your existing enterprise data infrastructure.
* Lets non-technical users access big data result sets.

We’ll also provide typical uses cases and examples and a demonstration of the integration of Hadoop sentiment analysis with sales data.

Fuse Service Works and Data Virtualization Workshops

Two new video workshops for Fuse Service Works and Data Virtualization have been released which were recorded during the Red Hat Technical Exchange in the APAC region. More videos can be found at the APAC You Tube Channel - http://www.youtube.com/user/redhatapac

Fuse Service Works Workshop - http://youtu.be/YdA4LkRawhs
Lab 1: Switchyard Application
Get familiar with the development environment, Application design and implementation, and Hands on experience with important SwitchYard principles
Lab 2: Design Time Governance
Gain experience with service governance workflows in Fuse Service Works, Become familiar with the Design-Time Governance and S-RAMP consoles, Manage a service through the dev, qa, stage, and production tasks, and Learn Service Lifecycle Management principles
Lab 3: Run Time Governance
Gain experience with Runtime Governance capabilities in Fuse Service Works, Become familiar with Service Activity Monitoring and reporting, Become familiar with Policy Enforcement




Data Virtualization Workshop - http://youtu.be/iVJIhGf_Eo8

Lab 1: Install and start the JBoss Data Virtualization Server
Lab 2: Install the tools and connect JBDS to the JBoss Data Virtualization Server
Lab 3: Create a project and Import Data Source
Lab 4: Create a Virtual Base Layer (VBL)
Lab 5: Create an Enterprise Data Layer
Lab 6: Create a Data Federation Layer
Lab 7: Create a Web Service
Lab 8: Virtual DataBase Deployment
Lab 9: Accessing Data Federation Layer through OData


Wednesday, July 16, 2014

Keycloak and Picketlink Middleware Security

A new video has been released that was recorded during the Red Hat Technical Exchange in the APAC region.  More videos can be found at the APAC You Tube Channel - http://www.youtube.com/user/redhatapac.

In this video you learn Authentication and Authorization open standards such as SAML, XACML, OAuth and how they are used  for security within the Red Hat JBoss Product set.  The Picketlink umbrella project including Keycloak provide SSO for Web Applications and REST Services, Identity Management, Java EE Application Security and more.  The video covers:

  • Security Open Standards Used
  • Picketlink and the subprojects
  • Roadmap of Picketlink
  • Examples of using Picketlink


xPaaS with Fuse 6.1 on Openshift

OpenShift Online automates the provisioning, management, and scaling of applications so that you can focus on development and creativity. The newly created Red Hat JBoss Fuse 6.1 cartridge allows you to use Fuse and Fuse Fabric in the OpenShift Online public cloud. JBoss Fuse provides a full-featured, easy-to-use and intuitive framework for integration with extensive connectivity options to external applications.

Watch the video to see how to use Fuse and Fuse Fabric in OpenShift online. You will learn:

* How to install the Fuse cartridge.

* How to access and use the Fuse Management Console.

* How to deploy and test a Fuse bundle.

The video was recorded during the Red Hat Technical Exchange in the APAC region.  More videos can be found at the APAC You Tube Channel APAC - http://www.youtube.com/user/redhatapac.

Runtime governance to achieve greater business visibility

Join Ivan and myself for the webinar on Fuse Service Works and Run Time Governance which is July 24, 2014 at 11am EST.  To register click on the link below.  For more detail see the below.

Breached SLAs, customers identifying your problems before you do, excessive problem identification time, and the time-consuming and costly task of combining data from various systems. Sound familiar? Runtime governance can help.

Runtime governance consists of the collection, correlation, analysis, and presentation of realtime results based on activity events collected from heterogeneous distributed environments. It gives operations and business owners visibility into the health and behavior of a system to react to a combination of events from different systems.

During the webinar we will cover the following 5 topics:

1. Fuse Service Works Overview
2. Outline of the business problem that RTGov solves
3. Explain how RTGov addresses the problem
4. Describe the main components
- Collectors, integrated and rest 
- EPN, how we collect the data
- CEP, fusion, how we can use rules to make use of the data in real time 
- UI, the 3 main components
5.  Demonstration 
- Step through 3 demos which are based around the switchyard order management service

1: Demo Identity and react on trends
- During this session Ivan will have a process running in back ground that is generating data against a switchyard service
- Ivan will show RTGov and Kibana presenting this data.
- Ivan will use kibana to show which served is “Slow”, data drill down
- Ivan will then create and deploy a RTGov EPN that reacts on the response time by creating “SLA breach” situations.
- Send a “Request” which will result in a SLA Breach which Ivan will show in RTGOv situations UI
- Purpose is to show how we can actively react on data in the runtime

2: Demo Apply runtime policy based on business data
- Via Kibana
- After addressing our SLA problem I move to intpretating the rest of the data in kibana
-The generated data, from previous demo, show a trend of “insufficent funds” errors occurring
- Ivan will create a Preprocessor EPN. The EPNs purpose is to ensure the users has enough fund before been allowed to place a request
- This demos a business policy been applied to a service. Restrict users access services based on business data

3: Demo Pre-emptively identify increase in service load
- The previous example showed load average of 3 request per second.
- Ivan will deploy a EPN that utilises CEP. The rule aggregates requests hitting a service over a 1 second window.
- If it detects the load increase pass 20 requests a seconds a midium situation “Alert” is created
- If it detects the load increasing pass 30 requests a second a Critical situation “Alert” is created
- Purpose is to show how we anticipate any increasing load on our service
- Test will be done via a soapui load test
- potentially Combined with business data. Eg, over 20 requests for product X in the last hour.

Registration link: http://www.redhat.com/about/events-webinars/webinars/20140724-runtime-governance-to-achieve-greater-business-visibility