{"_id":"55d3b645f77e6d0d00b1b282","project":"55c505b41469ad2500fa2ab7","category":{"_id":"55d3b645f77e6d0d00b1b277","version":"55d3b644f77e6d0d00b1b273","__v":1,"project":"55c505b41469ad2500fa2ab7","pages":["55d3b645f77e6d0d00b1b27e","55d3b645f77e6d0d00b1b27f","55d3b645f77e6d0d00b1b280","55d3b645f77e6d0d00b1b281","55d3b645f77e6d0d00b1b282"],"sync":{"url":"","isSync":false},"reference":false,"createdAt":"2015-08-10T18:44:21.139Z","from_sync":false,"order":4,"slug":"actions","title":"Actions"},"parentDoc":null,"__v":5,"version":{"_id":"55d3b644f77e6d0d00b1b273","project":"55c505b41469ad2500fa2ab7","__v":6,"createdAt":"2015-08-18T22:48:36.632Z","releaseDate":"2015-08-18T22:48:36.632Z","categories":["55d3b645f77e6d0d00b1b274","55d3b645f77e6d0d00b1b275","55d3b645f77e6d0d00b1b276","55d3b645f77e6d0d00b1b277","55d3b645f77e6d0d00b1b278","55d3b645f77e6d0d00b1b279","55d3b645f77e6d0d00b1b27a","55d3b645f77e6d0d00b1b27b","55d3b645f77e6d0d00b1b27c","55d3b645f77e6d0d00b1b27d","55d7c2939510f00d007ec6fe","56fac9925df15a20002972a2","56fb2f7668e1d30e00a0b672","583498d411e8af2500f6b334","58e52a180ab7b03b00f4a97a"],"is_deprecated":false,"is_hidden":false,"is_beta":true,"is_stable":true,"codename":"","version_clean":"1.1.0","version":"1.1"},"user":"55c50f4a7c199a2f00665cbf","updates":[],"next":{"pages":[],"description":""},"createdAt":"2015-08-10T23:09:08.529Z","link_external":false,"link_url":"","githubsync":"","sync_unique":"","hidden":false,"api":{"settings":"","results":{"codes":[]},"auth":"required","params":[],"url":""},"isReference":false,"order":4,"body":"One of the most useful things in debugging production issues is having graphs of useful metrics for the time range of when the alert was raised. Using Neptune, you can collect and chart the required metrics automatically when an alert is raised. You can gather as many metrics as you want from different sources like monitoring tools, metric databases, etc and either overlay them in same chart or have them in different charts and have them readily available in your email or Slack channel.\n\nThough some monitoring tools take snapshot of the a metric when the threshold for that metric breaches, knowing that single metric might not help to debug the root cause. Instead, Neptune gives you the power of mixing and matching multiple metrics from multiple sources and also take the snapshot exactly when the alert happens.\n\nHere is a screenshot of a chart overlayed with multiple CPU metrics when a CPU alert was raised.\n[block:image]\n{\n  \"images\": [\n    {\n      \"image\": [\n        \"https://files.readme.io/HGGYuk5XQJW94P7sMmLf_Screen%20Shot%202015-08-30%20at%209.05.29%20PM.png\",\n        \"Screen Shot 2015-08-30 at 9.05.29 PM.png\",\n        \"2878\",\n        \"1588\",\n        \"#750946\",\n        \"\"\n      ],\n      \"caption\": \"Multiple CPU related metrics overlayed from NewRelic in single chart.\"\n    }\n  ]\n}\n[/block]","excerpt":"","slug":"capture-metrics-actions","type":"basic","title":"Capture Metrics Actions"}

Capture Metrics Actions


One of the most useful things in debugging production issues is having graphs of useful metrics for the time range of when the alert was raised. Using Neptune, you can collect and chart the required metrics automatically when an alert is raised. You can gather as many metrics as you want from different sources like monitoring tools, metric databases, etc and either overlay them in same chart or have them in different charts and have them readily available in your email or Slack channel. Though some monitoring tools take snapshot of the a metric when the threshold for that metric breaches, knowing that single metric might not help to debug the root cause. Instead, Neptune gives you the power of mixing and matching multiple metrics from multiple sources and also take the snapshot exactly when the alert happens. Here is a screenshot of a chart overlayed with multiple CPU metrics when a CPU alert was raised. [block:image] { "images": [ { "image": [ "https://files.readme.io/HGGYuk5XQJW94P7sMmLf_Screen%20Shot%202015-08-30%20at%209.05.29%20PM.png", "Screen Shot 2015-08-30 at 9.05.29 PM.png", "2878", "1588", "#750946", "" ], "caption": "Multiple CPU related metrics overlayed from NewRelic in single chart." } ] } [/block]