Personal schedule for Fernando Ipar
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This tutorial aims to guide normal MySQL users and DBAs into the world of MySQL Cluster. From installing and configuring to creating your first clustered table and finally node failure handling. At the end of the session you'll will be the proud owner of a full blown, tiny MySQL Cluster which you can show off at work.
War and peace stories from Facebook - how to detect, analyze and fix problems below, inside and above overloaded MySQL servers.
This covers concurrecy problems that appear in real world environments, beyond labs and benchmarks.
Drizzle and MySQL both have a number of static DTrace probes embedded
within them which allows observability tools to gain deep insight into
what the server is doing. In this session, an overview of these static
probes will be given and examples of utilizing these probes will be
shown using both DTrace on Solaris and SystemTap on Linux.
Facebook runs MySQL on commodity servers. Commodity servers have become extremely fast. Learn about the methods we use to identify performance bottlenecks in MySQL and the projects we have completed or started to keep pace with hardware advances.
Monitoring usage, efficiency, and performance of memcached can seem like a dark art. For most people, configuring a RAM limit and shoving in data is as far as they need to go. If you need to know more about how efficiently you are using memcached, as well as how all the statistics line up to make a big picture, this is the place.