Google Wave for Developers

February 16, 2010 @ 6:30 PM – Google Wave for Developers

Location Change

\!\! This meeting will be held at Matrix Resources

[Directions|] \- The meeting will be downstairs in the auditorium.


Google introduced Wave saying that this new online collaboration tool “reinvents email”. But they have offered developers a lot more than that. The Wave architecture incorporates many innovations since email – especially live cooperative editing. So Google challenges us to reinvent our communication apps with these possibilities in mind.

Wave is a big topic so the talk is organized in three parts with time for discussion:

1. Wave – Product, Platform, and Protocol.
An overview of Wave emphasizing the Wave platform for extension development.

2. Wave architecture – Patterns for development.
Approaches for using Wave’s live synchronization layer with new and existing web applications.

3. Development of Wave robots in Java.
The API for building Wave robots that watch user activity and respond with edits. Robot services range from simple text substitution to interfaces to existing web services.


Rick Thomas is an entrepreneur focused on the strategic design of cooperative work. From his past work in developing collaboration software for project and sales organizations – and his interest in the natural history of language – he offers a unique perspective on the potential for Google Wave to change the shape of our work and society.

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AJUG Meetup

Data Microservices with Spring Cloud Stream, Task, and Data Flow

Tuesday, July 19, 2016

Microservice based architectures are not just for distributed web applications! They are also a powerful approach for creating distributed stream and batch processing.

Spring Cloud Data Flow enables you to create and orchestrate standalone executable applications that communicate over messaging middleware such as Kafka and RabbitMQ that when run together, form a distributed stream processing application. It also allows users to create and orchestrate short lived microservices like batch jobs or boot applications that perform a task and then terminate when complete.

This allows you to scale, version and operationalize stream processing and task applications following microservice based patterns and practices on a variety of runtime platforms such as Cloud Foundry, Apache YARN and others.


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