ビッグデータモニタリング

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Capture and integrate metrics from servers with specified Big Data databases installed. The term “Big Data” is quite possibly one of the most difficult IT-related terms to pin down ever. There are so many potential types of, and applications for Big Data that it can be a bit daunting to consider all of the possibilities. Thankfully, for IT operations staff, Big Data is mostly a bunch of new technologies that are being used together to solve some sort of business problem. Monitoring the performance of big data repositories is just as important as monitoring the performance of any other type of database. Applications that want to use the data stored in these repositories will submit queries in much the same way as traditional applications querying relational databases like Oracle, SQL Server, Sybase, DB2, MySQL, and PostgreSQL.

Each big data technology has it’s own set of relevant KPIs just like any other technology used in the enterprise. The important part is to understand what is normal behavior for each metric while performance is good and then identify when KPIs are deviating from normal. This combined with the end to end transaction tracking will tell you if there is a problem, where the problem is, and possibly the root cause. AppDynamics currently has monitoring extensions for HBase, MongoDB, Redis, Hadoop, Cassandra, CouchBase, and CouchDB.

ビッグデータモニタリング

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