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Showing results for tags 'ELK'.
One thing everybody is looking for is convergence, a single tool that does everything for observability. Monitoring, metrics, log analysis - LM does a good job on the first two, but I still need a separate tool to get useful metrics and trends out of my application logs. LM should look into adding ELK-as-a-Service to the LM feature stack (provide customers with an API endpoint they can feed logs to or something), and then customers could have service-level monitoring (URL response times, etc.), plus the traditional LM suite of monitors/metrics, plus LM Cloud, *plus* the most useful info of all: data mined from application logs. That's generally where the really good insights come from (and most of what's unique to each customer's business/offering). ELK is well-known, open source, and fairly mature. Relatively easy to scale as well; should be easy for LM engineering to put together for a proof of concept anyway. Meanwhile, I'm looking at things like Papertrail, Librato and Logz.io for my application logs - but I'd really like to have One Tool to Rule Them All.