Azure Log Analytics: looking at data and costs – Part 4

Building on Post 3 http://approjects.co.za/?big=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 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.


//
// How much would it cost if I added an extra nn Computers?
// Only looks at the billable data
//
// You can add 2 options,
//
// 1. A count of the extra computers to add
// 2. Count of days to look back at, to get historical data - suggested 31days
// 3. USD $ price
// 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/

let aap = 2.30; //Add Azure Pricing ($ USD) source: https://azure.microsoft.com/en-us/pricing/details/monitor/
let addExtraComputers=12;
let daystoSearch = 31d;
union withsource = tt *
| where TimeGenerated > startofday(ago(daystoSearch))
| where _IsBillable == true
| where isnotempty(Computer)
| summarize
ComputerCount = dcount(Computer),
avgMbperComputer= round(sum(_BilledSize / (1024*1024)) / dcount(Computer),4),
TotalGBytes = round(sum(_BilledSize / (1024*1024*1024)),4),
CurrentCostUSD = round(sum(_BilledSize / (1024*1024*1024)) * aap,2),
PredictedGB = round(sum(_BilledSize / (1024*1024*1024)) / dcount(Computer) * (dcount(Computer) + addExtraComputers),4),
PredictedCostUSD= round(sum(_BilledSize / (1024*1024*1024)) / dcount(Computer) * (dcount(Computer) + addExtraComputers) * aap,2),
AddedCompuerCnt = strcat(addExtraComputers,” added, new total= “, addExtraComputers + dcount(Computer))