{"id":6331,"date":"2018-02-28T18:04:13","date_gmt":"2018-02-28T23:04:13","guid":{"rendered":"https:\/\/www.eginnovations.com\/blog\/?p=6331"},"modified":"2022-08-26T09:05:33","modified_gmt":"2022-08-26T13:05:33","slug":"monitoring-and-the-cloud-black-boxes-and-black-holes","status":"publish","type":"post","link":"https:\/\/www.eginnovations.com\/blog\/monitoring-and-the-cloud-black-boxes-and-black-holes\/","title":{"rendered":"Monitoring and the Cloud: Black Boxes and Black Holes"},"content":{"rendered":"

\"AWS\"Cloud<\/a>For years, monitoring has used the terms \u2018black box\u2019 and \u2018white box.\u2019 Black box monitoring is outside-in; it tests externally visible behavior. Real user monitoring<\/a> and service-level monitoring are examples. White box monitoring is inside-out; it provides details about the internal state of a system and is critical for root-cause analysis.<\/p>\n

On the other hand, a black hole \u2013 at least in the context of the cloud \u2013 brings things like data gravity to mind. Public cloud services like Amazon and Azure<\/a> are sucking in workloads at an amazing rate.<\/p>\n

But, lack of transparency<\/a> in the cloud is also prevalent, and contributes to the \u2018clouds-as-black-holes\u2019 phenomenon. Monitoring cloud services today tends to be a black box affair.<\/p>\n

\"Azure<\/p>\n

The fact is, your digital business services include many heterogeneous components, multi-vendor devices and service providers. Today\u2019s monitors will need to do a combination of black and white box monitoring, linking real user experience to the underlying cause of performance issues<\/a> and proactively avoiding business impacts whenever possible.<\/p>\n

This combination of black box monitoring, with a well-informed white box capability, is also the basis of effective autonomous operations. Digital business services and business transaction health \u2013 outside-in, black box monitoring \u2013\u00a0will raise the alarm that the business is being impacted.<\/p>\n

\"ServiceNow<\/p>\n

But, the convergence of both applications and infrastructure performance monitoring will be needed for inside-out (white box) monitoring, effective root-cause analysis and avoiding the black hole effect of hybrid cloud monitoring<\/a>.<\/p>\n

\"eG<\/p>\n

Contact your eG Innovations representative to learn more. \u00bb<\/a><\/strong><\/p>\n","protected":false},"excerpt":{"rendered":"

For years, monitoring has used the terms \u2018black box\u2019 and \u2018white box.\u2019 Black box monitoring is outside-in; it tests externally visible behavior. Real user monitoring and service-level monitoring are examples. White box monitoring is inside-out; it provides details about the internal state of a system and is critical for root-cause analysis. On the other hand, […]<\/p>\n","protected":false},"author":14,"featured_media":6353,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"inline_featured_image":false,"_lmt_disableupdate":"","_lmt_disable":"","footnotes":""},"categories":[391,404,369],"tags":[110,115,461],"class_list":["post-6331","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aws-monitoring","category-azure-monitoring","category-cloud-monitoring","tag-cloud","tag-cloud-monitoring","tag-cloud-performance"],"acf":[],"yoast_head":"\nMonitoring and the Cloud: Black Boxes and Black Holes | eG Innovations<\/title>\n<meta name=\"description\" content=\"This post looks at cloud monitoring in the face of black boxes, white boxes and the apparent 'black hole' nature of cloud computing. 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