MessageDrivenArchitectureWithSpring

November 16, 2010 @ 7:00pm – Message-Driven Architecture with the Spring Platform

Description

This presentation will provide a comprehensive overview of Spring’s support for eventing, messaging, scheduling, and batch processing. You will learn how these features provide a platform for message-driven architecture. Examples will include integration with JMS, AMQP, Web Services, email, instant messaging and more. You will also learn about Spring’s support for Hohpe and Woolf’s Enterprise Integration Patterns. This will include demos of several basic patterns such as Messaging Gateway, Message Transformer, and Message Router, as well as composite patterns such as Control Bus, Claim Check, and Scatter/Gather using Splitters and Aggregators. The examples will also cover different options for adding custom integration logic within the configuration-driven context. Those options include not only POJOs, but also Spring 3.0′s Expression Language and Groovy scripts.

Speaker

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Mark Fisher is an engineer within the SpringSource division of VMware and lead of the the Spring Integration team. He is also a committer on the core Spring Framework as well as the Spring AMQP and Spring BlazeDS Integration projects. In addition to his role as an engineer, Mark spends a significant amount of time working with customers as a consultant and trainer. The focus of such engagements is primarily in the realm of enterprise integration, messaging, and event-driven applications.

Mark is a frequent speaker at conferences and user groups in North America and Europe, and along with other Spring Integration committers, he is an author of the forthcoming book, “Spring Integration in Action”, to be published by Manning.

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AJUG Meetup

Using Redis and BloomFilters to fail fast

Sept. 16 2014

From redis.io: “Redis is an open source, BSD licensed, advanced key-value store. It is often referred to as a data structure server since keys can contain strings, hashes, lists, sets and sorted sets”.

In this talk I will introduce Redis and go over some common uses. I will then introduce the concept of BloomFilter (a space-efficient probabilistic data structure) and show examples of how combining Redis and BloomFilters opens a very interesting set of uses cases typically requiring expensive RDBMS queries.

Location:


Holiday Inn Atlanta-Perimeter/Dunwoody

4386 Chamblee Dunwoody Road,
Atlanta, GA (map)

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