Achieving Concurren­cy On A Massive Scale

Achieving Concurren­cy On A Massive Scale

Tuesday, January 21, 2014

Where do you turn when the performance requirements of your application exceed what your 8­CPU Opteron server or homegrown Linux cluster can provide? What if the communication bandwidth of your cloud service is insufficient for your interprocessor communication needs? Your neighborhood BitCoin miner may already have the solution! The parallel processing technologies once reserved for government research labs are now within the reach of small companies. This seminar with review the history of multiprocessing and parallel processing and describe how modern computer hardware, languages, and frameworks can be utilized to achieve concurrency on a massive scale.

About the Speakers

Phil Harbison is the CTO of Xavax, Inc. where he develops enterprise web applications. A graduate of UAH (BSEE, 1981) he has worked as a computer and software engineer for 33 years. His interests are Lotussports cars, piano, photography, and supercomputing.
Posted in Meetings
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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