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It's a similar web interface (Grafana is based on Kibana), but for different things. ELK is best for deciphering large amounts of data from logs IMHO. Yes logs
by phildougherty 11y ago
It's a similar web interface (Grafana is based on Kibana), but for different things.
ELK is best for deciphering large amounts of data from logs IMHO. Yes logstash has tons of plugins for third party monitoring systems, but generally speaking you're going to dump your web server access/error logs and syslogs into your ELK setup.
Grafana makes graphite/influxdb more useful and is by far and away the best option available. Usually you're going to be tracking things like cpu/memory/diskio/network traffic, but also anything from StatsD in your Grafana setup.
Combining the two systems into one could be neat, but they work great on their own and have their own benefits.
- eloycoto 11y agoI'm using Grafana + Influxdb + statsd and I'm quite happy: - In our django/python apps I'm using statsd client - For server monitoring I'm using diamond - For dashboards I'm using grafana. I have in a few clicks all company information. I used ELK service, but only for logs but queries were difficult for me. But, ELK is great for PFsense routers[http://elijahpaul.co.uk/monitoring-pfsense-2-1-logs-using-elk-logstash-kibana-elasticsearch/ http://elijahpaul.co.uk/monitoring-pfsense-2-1-logs-using-el...], or you can use http://packetbeat.com/ http://packetbeat.com/ if you want to monitor all your servers. Last week I spoke in a local community about my stack. Here you have my slides + examples: http://acalustra.com/statsd-talk-at-python-vigo-meetup.html http://acalustra.com/statsd-talk-at-python-vigo-meetup.html Regards
- Guillaume86 11y agoThanks for the response. I should probably give a shot to Kibana 3.x because I'm on 4.x and I suspect it's still pretty new and lacking in features because of it. I could already track system metrics on windows with WMI (well I know CPU and memory is possible at least) and send them to ES but I will need to hand code it to avoid LogStash (too big for this simple job in my case).