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michal frackowiak
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New blog post: Back from holidays - new challenges on the horizon bit.ly/9eRpf0
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I earned the Check-in Rookie sticker on @GetGlue! bit.ly/dbpWkZ
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Why is it that when I am on my holiday Wikidot servers crash? It is kind of a rule. Bad karma, shame on the unkind hardware.
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I earned the Lone Wolf sticker on @GetGlue! bit.ly/aLOBKx
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I earned the Couch Potato(50) sticker on @GetGlue! bit.ly/bWcP2U
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I love the cloud. "Database Error: Unable to connect to the database:Could not connect to MySQL". Yeah. I'd better backup my data now!
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Piotr Gabryjeluk's blog (Gabrys on Wikidot)
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Welcome to my blog — place for ideas, comments, interesting hacks and boring personal stuff. Enjoy!
Top Twitter links are not what you might expect
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My weekend project involved some Twitter datamining and link analysis (i.e. links that people tweet about). The results we gathered during the weekend were… at least surprising.
By looking at popular Twitter link aggregators like Tweetmeme.com or twitt(url)y you might get the impression that Twitter is full of useful news, links to interesting stuff, a truly user-driven next-level communication.
Below is the result of one-day data analysis, and it lists top links people were tweeting about on Friday:
Tags:
Redis Performance on EC2 (aka weekend project coming)
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Weekend is coming and I have a very small pet-project for it. I would still keep the idea non-public, but it involves processing hundreds of entries per second, analyzing data from multiple sources. It would have a dead-simple web interface.
The nature of the project requires really fast data backend, capable of storing and retrieving a few thousand items per second. The dataset would be approximately 5GB, average item size: 0.5KB.
When it came to tools selection, after short considerations I have chosen Sinatra for web interface, and Redis as a memory-only (with disk dumps) key-value datastore. It should be capable of handling 100 000 requests per second and deal well with large datasets, so fits perfectly. It also differs from Memcached or MemcachedDB because it has great higher-level structures like Lists and Sets, basic sorting and selection commands.
Tags: amazon ec2 redis sinatra
