{"id":15480,"date":"2019-07-22T14:45:31","date_gmt":"2019-07-22T14:45:31","guid":{"rendered":"https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/?p=15480"},"modified":"2019-10-07T09:43:32","modified_gmt":"2019-10-07T08:43:32","slug":"azure-log-analytics-looking-at-data-and-costs-part-4","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/cross-industry\/2019\/07\/22\/azure-log-analytics-looking-at-data-and-costs-part-4\/","title":{"rendered":"Azure Log Analytics: looking at data and costs \u2013 Part 4"},"content":{"rendered":"

Building on Post 3 https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/cross-industry\/2019\/07\/18\/azure-log-analytics-looking-at-data-and-costs-part-3\/<\/a><\/p>\n

You would probably take the data projection (see post 3) and add it into Excel to do the math, but you can also use KQL for that.<\/p>\n

I assigned a price of $2.30 (line 1); most of the rest of the syntax is the same. This is correct as of 22\/7\/2019, please check and adjust. There are references to USD in the summarize command, if you do use a local currency there are two changes to make.<\/p>\n


\n\/\/
\n\/\/ How much would it cost if I added an extra nn Computers?
\n\/\/ Only looks at the billable data
\n\/\/
\n\/\/ You can add 2 options,
\n\/\/
\n\/\/ 1. A count of the extra computers to add
\n\/\/ 2. Count of days to look back at, to get historical data - suggested 31days
\n\/\/ 3. USD $ price
\n\/\/ All prices shown are in US Dollar ($). This is a summary estimate, not a quote. For up to date pricing information please visit https:\/\/azure.microsoft.com\/pricing\/calculator\/\t\t\t\t<\/code><\/p>\n

let aap = 2.30; \/\/Add Azure Pricing ($ USD) source: https:\/\/azure.microsoft.com\/en-us\/pricing\/details\/monitor\/
\nlet addExtraComputers=12;
\nlet daystoSearch = 31d;
\nunion withsource = tt *
\n| where TimeGenerated > startofday(ago(daystoSearch))
\n| where _IsBillable == true
\n| where isnotempty(Computer)
\n| summarize
\nComputerCount = dcount(Computer),
\navgMbperComputer= round(sum(_BilledSize \/ (1024*1024)) \/ dcount(Computer),4),
\nTotalGBytes = round(sum(_BilledSize \/ (1024*1024*1024)),4),
\nCurrentCostUSD = round(sum(_BilledSize \/ (1024*1024*1024)) * aap,2),
\nPredictedGB = round(sum(_BilledSize \/ (1024*1024*1024)) \/ dcount(Computer) * (dcount(Computer) + addExtraComputers),4),
\nPredictedCostUSD= round(sum(_BilledSize \/ (1024*1024*1024)) \/ dcount(Computer) * (dcount(Computer) + addExtraComputers) * aap,2),
\nAddedCompuerCnt = strcat(addExtraComputers,” added, new total= “, addExtraComputers + dcount(Computer))<\/p>\n

\"Example<\/p>\n","protected":false},"excerpt":{"rendered":"

Building on Post 3 https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/cross-industry\/2019\/07\/18\/azure-log-analytics-looking-at-data-and-costs-part-3\/ You would probably take the data projection (see post 3) and add it into Excel to do the math, but you can also use KQL for that. I assigned a price of $2.30 (line 1); most of the rest of the syntax is the same. This is correct as of<\/p>\n","protected":false},"author":424,"featured_media":17607,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","footnotes":""},"categories":[1],"post_tag":[128,424],"content-type":[],"coauthors":[],"class_list":["post-15480","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-cross-industry","tag-azure","tag-hybridcloud"],"yoast_head":"\nAzure Log Analytics: looking at data and costs \u2013 Part 4 - Microsoft Industry Blogs - United Kingdom<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/cross-industry\/2019\/07\/22\/azure-log-analytics-looking-at-data-and-costs-part-4\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Azure Log Analytics: looking at data and costs \u2013 Part 4 - Microsoft Industry Blogs - United Kingdom\" \/>\n<meta property=\"og:description\" content=\"Building on Post 3 https:\/\/www.microsoft.com\/en-gb\/industry\/blog\/cross-industry\/2019\/07\/18\/azure-log-analytics-looking-at-data-and-costs-part-3\/ You would probably take the data projection (see post 3) and add it into Excel to do the math, but you can also use KQL for that. 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