Speakers


Dave Syer

Lead of Spring Batch, SpringSource Principal Consultant

Dave Syer
Dr David Syer is the technical lead on Spring Batch, the batch processing framework and toolkit from SpringSource. He is an experienced, delivery-focused architect and development manager. He has designed and built successful enterprise software solutions using Spring, and implemented them in major financial institutions worldwide. David is known for his clear and informative training style and has deep knowledge and experience with all aspects of real-life usage of the Spring framework. He enjoys creating business value from the application of simple principles to enterprise architecture. David joined SpringSource from a leading risk management software vendor where he worked closely with SpringSource on a number of projects. Recent publications have appeared in Balance Sheet, Operational Risk and Derivatives Technology.

Presentations

Managing and Monitoring Batch Jobs

Batch processing always starts small and has a habit of getting large and complicated quite quickly. That's why being able to monitor and manage a Batch ecosystem and react automatically to common scenarios is an important concern for many. Come and see what features are available for managing a batch system implemented using Spring technologies.

Session Detail

Automating Operations with Spring Batch and Spring Integration

In this presentation Dave Syer and Mark Fisher will show how to reduce the burden of manual processing in a batch processing environment, and demonstrate how some common real-life use cases can be implemented using features from Spring Batch and Spring Integration. Automation and cost reduction is a key theme for operators and the SpringSource stack has features that make these concerns accessible to developers, so that they become natural and cheap to implement and embed in any application.
Starting with a simple job, the presentation shows how to trigger its execution using file-polling. The sample is then expanded to show interesting partial failure and automatic retry and restart scenarios, all with transparent monitoring and management through a simple user interface.

Session Detail