Using Solr to Search and Analyze Logs

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The document discusses the benefits of meditation for reducing stress and anxiety. Regular meditation practice can help calm the mind and body by lowering heart rate and blood pressure. Making meditation a part of a daily routine, even if just 10-15 minutes per day, can offer improvements to mood, focus, and overall well-being over time.

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

Using Solr to Search and Analyze Logs

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Building real-time notification systems is often limited to basic filtering and pattern matching against incoming records. Allowing users to query incoming documents using Solr's full range of capabilities is much more powerful. In our environment we needed a way to allow for tens of thousands of such query subscriptions, meaning we needed to find a way to distribute the query processing in the cloud. By creating in-memory Lucene indices from our Solr configuration, we were able to parallelize our queries across our cluster. To achieve this distribution, we wrapped the processing in a Storm topology to provide a flexible way to scale and manage our infrastructure. This presentation will describe our experiences creating this distributed, real-time inverted search notification framework.

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Like many Web-Applications in the past, the Solr Admin UI up until 4.0 was entirely server based. It used separate code on the server to generate their Dashboards, Overviews and Statistics. All that code had to be maintained and still ... you weren't really able to use that kind of data for the things you needed it for. It was wrapped into HTML, most of the time difficult to extract and changed the structure from time to time w/o announcement. After a short look back, we're going to look into the current state of the Solr Admin UI - a client-side application, running completely in your browser. We'll see how it works, where it gets its data from and how you can get the very same data and wire that into your own custom applications, dashboards and/oder monitoring systems.

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