Google Cloud Platform can rapidly provision and scale virtual infrastructure on which to build web and enterprise applications. Recently, Google and Pivotal engineers collaborated on a performance study of RabbitMQ running on Google Compute Engine. The RabbitMQ message broker was deployed atop Google Compute Engine where it demonstrated the ability to receive and deliver more than one million messages per second (a sustained combined ingress/egress of over two million messages per second). The joint RabbitMQ on Google Compute Engine performance test demonstrates how one of the world’s most widely adopted, open source message brokers can sustain a combined ingress/egress of over two million messages per second—a volume comparatively greater than the combined set of all U.S. text, Apple iMessages, and WhatsApp messages per day. This post explains how Google is using RabbitMQ on their Google Compute Engine, the experiment used to prove this, and the results.
Do you want to to deploy a full Hadoop Cluster on Google Compute Engine in under 3 minutes? Would you like to achieve rolling updates to this cluster while preserving your data? Learn how Cloud Foundry BOSH on Google Compute Engine can do this and more.
Named after a toy elephant belonging to developer Doug Cutting’s son, over the past decade Hadoop has proven to be the little platform that could. From its humble beginnings as an open source search engine project created by Cutting and Mike Cafarella, Hadoop has evolved into a robust platform for Big Data storage and analysis. How did an open source project started by a moonlighting developer and a University of Washington grad student become ubiquitous in so many data-driven settings? In its new four-part series, GigaOm documents Hadoop’s history, its growth, and the promising future of the platform.
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