Two weeks ago I wrote about "The Need for Speed" in cloud computing, and asked "Who is going to build the low-latency cloud for enterprise customers?". Today Werner Vogels and his team at Amazon announced their Cluster Compute Instances offering.
This is a very important step forward towards the kind of realtime, high performance cloud that customers such as Cloudscale require to deliver the next generation of cloud services. In our case, it means we now have three distinct alternatives for deployment of our massively parallel realtime data warehouse architecture: standard public cloud (EC2+S3+...), in-house cluster (Eucalyptus or native), and now high-performance public cloud cluster.
As a former parallel supercomputing researcher, turned realtime analytics guy, I'm excited and impressed by what Werner and his team are opening up today. Just as commodity clusters have taken over from specialized supercomputers over the past 15 years, today may mark the start of a new era in which cloud clusters will gradually take over from in-house clusters over the next ten years, especially in enterprise settings where cost-effective throughput is the name of the game.
Exciting times for cloud computing, supercomputing and realtime computing!
About Bill McColl Bill McColl left Oxford University to found Cloudscale. At Oxford he was Professor of Computer Science, Head of the Parallel Computing Research Center, and Chairman of the Computer Science Faculty. Along with Les Valiant of Harvard, he developed the BSP approach to parallel programming. He has led research, product, and business teams, in a number of areas: massively parallel algorithms and architectures, parallel programming languages and tools, datacenter virtualization, realtime stream processing, big data analytics, and cloud computing. He lives in Palo Alto, CA.
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As a former parallel supercomputing researcher, turned realtime analytics guy, I'm excited and impressed by what Werner and his team are opening up today. Just as commodity clusters have taken over from specialized supercomputers over the past 15 years, today may mark the start of a new era in which cloud clusters will gradually take over from in-house clusters over the next ten years, especially in enterprise settings where cost-effective throughput is the name of the game.
