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In The Brain of Daniel Sikar: Running Coherence Clustered Caching on Amazon EC2
Running Coherence Clustered Caching on Amazon EC2
Caching is ubiquitous and can be found from CPUs to Application Servers.
In the internet age with ever increasing data lookups, caching
technologies help us reduce latency. Slow disk reads are replaced with
fast memory access. In-memory data grids, spanning multiple machines,
store key-value pairs and serializable objects.
In this session:
We will look at one particular solution hailing from the JSR-107,
which came to be known as Coherence Clustered Caching - the most
feature-rich in-memory data grid in existence today, though admittedly
not the cheapest.
We will look at the EC2AddressProvider java library and gain a basic
understanding of what is involved in running a cluster on Amazon EC2.
You will become familiar with terminology and features of the Amazon
Web Services (AWS) environment, products and services such as Amazon
Machine Images (AMI) and Elastic Compute Cloud virtual machines (EC2
instances).
It is an informal techie chat and all are welcome.
ABOUT DANIEL SIKAR
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Daniel Sikar develops data acquisition processes using interpreted and compiled languages for both internet and scientific instrumentation.
More about Daniel Sikar
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PODCAST RUNNING COHERENCE CLUSTERED CACHING ON AMAZON EC2
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