We released   Smart Enterprise Platform 6.2 last week. This release includes several new features such as incremental deployment, improved development tooling, Star TM libraries, etc. See the press release for details.

I will give you some quick peek of this release in this blog entry.

Here is the new modern look that we gave to our development tool, Starview ACE.

 

 

Here is the new avatar of Enterprise Hub Console that helps you manage distributed Event Processing applications.

 

 

Most notably, we added Group support in the Enterprise Hub Console to enable you to group large number of servers such as deploying to the group. Here is a screen shot of  Group management feature:

If you are an existing customer, download your software from the ftp site using your account. If you want to try out Starview Smart Enterprise Platform – the complete event server platform of the industry, please contact us.

Register here

Event-driven applications are slowly becoming mainstream and it is predicted that many of the next generation of applications will be built using event-driven technologies. There are many modern use cases relevant to Event Processing, such as Smart Grid automation, Fraud Detection, Quality of Service, Real-time Business Intelligence, Business Optimization, and Manufacturing Logistics and Operations.

This webinar will provide an introduction to Event Processing and outline its differences from the request-response paradigm. It will introduce concepts such as streams, event sources/sinks, continuous queries, windowing, filtering, pattern matching, correlation, and Event Processing Agents. It will introduce an Event Processing Language and describe how to build event-driven applications. The webinar will also illustrate how you can integrate existing Java applications into an event-driven application.

 

Speaker: Debu Panda
Debu Panda is a technologist specializing in middleware, SOA, Cloud management and next-generation event-processing platforms. He is lead author of the best-selling “EJB 3 in Action” (http://manning.com/panda) (Manning Publications,2007) and lead coauthor of “Middleware Management with Oracle Enterprise Manager” (Packt Publications, 2009). He presently works as Senior Director, Product Management  for Starview Technology, Inc. He previously worked as a Product Management Director on the Oracle Fusion Middleware Management and Oracle Application Server development teams. He has more than 18 years of experience in the IT industry and has published more than 35 articles on enterprise Java and SOA technologies and has presented at leading technology conferences such as Oracle Open World, Java One, The ServerSide Symposium, JavaZone Europe, and many more.

 

Interested parties can register for the webinar by clicking here. Space is limited. After registering, participants will receive a confirmation e-mail containing information about joining the webinar.

 

Our CEO, Thomas Sulzbacher, has been invited to give a keynote address at the Event Processing Symposium: Capital Markets. The symposium, to be held on October 6, 2010 at the West Auditorium, Credit Suisse in New York City, will present new ideas and fresh perspectives on the event processing issues facing capital markets.

Sulzbacher will describe a fresh approach to the role of event processing systems in capital markets. He will discuss innovative ways to weave together the multitude of events from trades, exchanges, buy/sell side, brokers/dealers, news services, operation, investors and more into an “Event Fabric” that can see and understand all events. Sulzbacher will explain how to take the Event Fabric to the next step, forming a “Decision Fabric” that provides unprecedented real-time decision support for capital markets.

Click here for registration details for the symposium.

Please note that there is a change in location for our JavaOne presentation.

Here are the details :

S314564 – Comparing and Contrasting Application Servers and Event Servers

Where: Hilton San Francisco, Yosemite B

When: Wednesday, September 22, 14:15

We hope to see you there!

We have been working with utility companies and system integrators such as Logica, Plc on automation/optimization of Power Grids.

Join us on Tuesday, September 14th for a webcast on Optimizing the Electric Distribution Grid Through Analytical Event Processing. Moderated by Gwen Durrill, Starview Technology’s EVP & GM, this 30 minute webcast will discuss real time event data analysis and how Utilities use event processing to recognize and resolve issues. Hear case studies from Richard Harris, Director & CTO, DTE Energy, on how Utilities deal with outage detection and solutions, plus Chris Beard, Principal Consultant, Logica plc, discussing examples of automated demand management.

Click here, for detailed agenda, speaker details and link to register.

If you are attending JavaOne 2010, do not miss an exciting presentation by us (Debu Panda and Mack Mackenzie). In this presentation we will compare and contrast application servers with event servers and provide an insight how the traditional applications are different from event processing applications.

Here are the details for the presentation. Hope to see you there
Title: Comparing and Contrasting Application Servers and Event Servers

Date: 22-SEP-10
Time: 14:15 – 15:00
Venue: Hilton San Francisco
Room: Golden Gate 2

A recent blog “Will AEP Replace RDBMS? A Dialogue with Charges Brett” by Merv Adrian generated good interests on Analytic Event Processing (AEP).  We at Starview Technology,Inc coined this term, so before other CEP vendors go gaga over it, let us explain what we mean by AEP.While most vendors primarily focus on a CEP engine, we provide an entire platform to build, deploy, simulate and manage/monitor event driven applications. Our event servers contain two important components: CEP and AEP engines. These allow you to respond in real time to fast-moving events of any kind.

While the Complex Event Processing (CEP) engine allows, the Starview Event Server to accept data feeds from a variety of sources, producing actionable events, the industry-unique Analytical Event Processing (AEP) engine takes even driven systems to the next level.

AEP Engine

You can think of AEP as an automated action engine based on real-time Business Intelligence. AEP solves a very complex class of stream analytic problems that don’t fall into the general category of “discrimination / decision networks” but still need to operate in a real-time, stream-driven fashion.  Some classic examples that we put under AEP are: Bayesian Belief networks, Principal Component Analysis (PCA), Schedule Optimization and other space-searching algorithms. While somewhat esoteric from a conventional enterprise software point of view, these algorithms have real time application in mission-critical use cases as diverse as fraud detection, factory automation, dynamic power grid balancing, root-cause analysis and, much more.

Our AEP engine enables richer and more sophisticated analysis using these complex algorithms across multiple streams of data as shown below:

As evident from the figure above, AEP is based on “actors” – event-processing agents that listen for events, and analyze based on the entire working environment.

The actors take action according to predetermined rules defined by you, in the context of the other actors. AEP engines express extremely complex, sophisticated algorithms that go far beyond the SQL-based languages that most CEP vendors support.

We have invented an event processing language named StarRules™ designed specifically for complex even-driven environments. It has a rich set of features including pattern matching, user-defined windows for event calculation, and more. It even provides the ability to do look-ahead, linear regressing and other complex yet necessary functions that complex applications require for event analytics.  Domain experts can easily build complex event-based applications using StarRules. Our event servers provide real-time event processing, action management, and automated problem resolution.

The AEP engine work on streaming operational and business data from multiple sources, and helps you provide real time analytics such as :

  • Making better operational decisions using real-time
  • Tracking Key Performance Indicators (KPIs) to monitor and manage processes, programs and business performance
  • Analyzing operational issues using high-powered, grid-based analytics accessible to end-users through web-based visualization
  • Acquiring real-time information from equipment, sensors, smart meters, external and internal sources, financial systems and more
  • Resolving problems and taking corrective action in real time through integrated communications with live systems

As we mentioned earlier, we provide the entire platform for building and deploying complex event driven applications.  The following figure shows the architecture for the Starview Smart Enterprise Platform:


Starview Enterprise Platform

For details about our products and solutions, visit http://www.starviewtechnology.com.

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