Scale And Database Pioneer Talks Hadoop Evolution
Hadoop started out as a batch-oriented system for chewing through massive amounts of unstructured data on the cheap, enabling all sorts of things such as search engines and advertising systems. …
Hadoop started out as a batch-oriented system for chewing through massive amounts of unstructured data on the cheap, enabling all sorts of things such as search engines and advertising systems. …
Having made its fortunes virtualizing the X86 servers at some 500,000 customers worldwide, there is no bigger threat to the continued financial success of server virtualization and cloud player VMware than the wild enthusiasm that software development teams have for Docker containers. …
The point of software containers is to provide a level of abstraction for bits of system and application programs so they can be run anywhere and maintained easily. …
Job schedulers that have their heritage in the supercomputing space are used to spreading work out over many server nodes and their underlying CPU cores and running them in batch mode, with parallel programming techniques. …
Anyone who has worked on the Google File System and then founded a hyperconverged server-storage company is probably going to have a slightly different perspective on all of the secondary storage in the datacenter that is used to house everything but the mission critical data that ends up on so-called “tier one” storage. …
When you have tackled some of the biggest database and storage problems in hyperscale computing, what do you do as an encore? …
It has taken a little longer than expected, but then again, creating a datacenter operating system that mimics the sophisticated bare metal and virtualized systems inside of search engine giant Google is no simple task. …
It has always been our contention that recessions drive successive waves of technology transitions in the datacenter. …
The people in the systems business at Hewlett-Packard have finally caught the DevOps bug. …
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