GetAutoScalingGroupRecommendations Classic ASP Example
<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
</head>
<body>
<%
' This example requires the Chilkat API to have been previously unlocked.
' See Global Unlock Sample for sample code.
set rest = Server.CreateObject("Chilkat_9_5_0.Rest")
set authAws = Server.CreateObject("Chilkat_9_5_0.AuthAws")
authAws.AccessKey = "AWS_ACCESS_KEY"
authAws.SecretKey = "AWS_SECRET_KEY"
' Don't forget to change the region to your particular region. (Also make the same change in the call to Connect below.)
authAws.Region = "us-west-2"
authAws.ServiceName = "compute-optimizer"
' SetAuthAws causes Chilkat to automatically add the following headers: Authorization, X-Amz-Date
success = rest.SetAuthAws(authAws)
' URL: https://compute-optimizer.us-west-2.amazonaws.com/
' Use the same region as specified above.
success = rest.Connect("compute-optimizer.us-west-2.amazonaws.com",443,1,1)
If (success <> 1) Then
Response.Write "<pre>" & Server.HTMLEncode( "ConnectFailReason: " & rest.ConnectFailReason) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
Response.End
End If
' The following code creates the JSON request body.
' The JSON created by this code is shown below.
' Use this online tool to generate code from sample JSON:
' Generate Code to Create JSON
set json = Server.CreateObject("Chilkat_9_5_0.JsonObject")
success = json.UpdateString("accountIds[0]","string")
success = json.UpdateString("autoScalingGroupArns[0]","string")
success = json.UpdateString("filters[0].name","string")
success = json.UpdateString("filters[0].values[0]","string")
success = json.UpdateInt("maxResults",123)
success = json.UpdateString("nextToken","string")
success = json.UpdateString("recommendationPreferences.cpuVendorArchitectures[0]","string")
' The JSON request body created by the above code:
' {
' "accountIds": [
' "string"
' ],
' "autoScalingGroupArns": [
' "string"
' ],
' "filters": [
' {
' "name": "string",
' "values": [
' "string"
' ]
' }
' ],
' "maxResults": number,
' "nextToken": "string",
' "recommendationPreferences": {
' "cpuVendorArchitectures": [
' "string"
' ]
' }
' }
success = rest.AddHeader("Content-Type","application/x-amz-json-1.0")
success = rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetAutoScalingGroupRecommendations")
set sbRequestBody = Server.CreateObject("Chilkat_9_5_0.StringBuilder")
success = json.EmitSb(sbRequestBody)
set sbResponseBody = Server.CreateObject("Chilkat_9_5_0.StringBuilder")
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> 1) Then
Response.Write "<pre>" & Server.HTMLEncode( rest.LastErrorText) & "</pre>"
Response.End
End If
respStatusCode = rest.ResponseStatusCode
Response.Write "<pre>" & Server.HTMLEncode( "response status code = " & respStatusCode) & "</pre>"
If (respStatusCode <> 200) Then
Response.Write "<pre>" & Server.HTMLEncode( "Response Header:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( rest.ResponseHeader) & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( "Response Body:") & "</pre>"
Response.Write "<pre>" & Server.HTMLEncode( sbResponseBody.GetAsString()) & "</pre>"
Response.End
End If
set jResp = Server.CreateObject("Chilkat_9_5_0.JsonObject")
success = jResp.LoadSb(sbResponseBody)
' The following code parses the JSON response.
' A sample JSON response is shown below the sample code.
' Use this online tool to generate parsing code from sample JSON:
' Generate Parsing Code from JSON
nextToken = jResp.StringOf("nextToken")
i = 0
count_i = jResp.SizeOfArray("autoScalingGroupRecommendations")
Do While i < count_i
jResp.I = i
accountId = jResp.StringOf("autoScalingGroupRecommendations[i].accountId")
autoScalingGroupArn = jResp.StringOf("autoScalingGroupRecommendations[i].autoScalingGroupArn")
autoScalingGroupName = jResp.StringOf("autoScalingGroupRecommendations[i].autoScalingGroupName")
DesiredCapacity = jResp.IntOf("autoScalingGroupRecommendations[i].currentConfiguration.desiredCapacity")
InstanceType = jResp.StringOf("autoScalingGroupRecommendations[i].currentConfiguration.instanceType")
MaxSize = jResp.IntOf("autoScalingGroupRecommendations[i].currentConfiguration.maxSize")
MinSize = jResp.IntOf("autoScalingGroupRecommendations[i].currentConfiguration.minSize")
currentPerformanceRisk = jResp.StringOf("autoScalingGroupRecommendations[i].currentPerformanceRisk")
EnhancedInfrastructureMetrics = jResp.StringOf("autoScalingGroupRecommendations[i].effectiveRecommendationPreferences.enhancedInfrastructureMetrics")
InferredWorkloadTypes = jResp.StringOf("autoScalingGroupRecommendations[i].effectiveRecommendationPreferences.inferredWorkloadTypes")
finding = jResp.StringOf("autoScalingGroupRecommendations[i].finding")
lastRefreshTimestamp = jResp.IntOf("autoScalingGroupRecommendations[i].lastRefreshTimestamp")
lookBackPeriodInDays = jResp.IntOf("autoScalingGroupRecommendations[i].lookBackPeriodInDays")
j = 0
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures")
Do While j < count_j
jResp.J = j
strVal = jResp.StringOf("autoScalingGroupRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]")
j = j + 1
Loop
j = 0
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].inferredWorkloadTypes")
Do While j < count_j
jResp.J = j
strVal = jResp.StringOf("autoScalingGroupRecommendations[i].inferredWorkloadTypes[j]")
j = j + 1
Loop
j = 0
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].recommendationOptions")
Do While j < count_j
jResp.J = j
configurationDesiredCapacity = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].configuration.desiredCapacity")
configurationInstanceType = jResp.StringOf("autoScalingGroupRecommendations[i].recommendationOptions[j].configuration.instanceType")
configurationMaxSize = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].configuration.maxSize")
configurationMinSize = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].configuration.minSize")
migrationEffort = jResp.StringOf("autoScalingGroupRecommendations[i].recommendationOptions[j].migrationEffort")
performanceRisk = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].performanceRisk")
rank = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].rank")
v_Currency = jResp.StringOf("autoScalingGroupRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency")
Value = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value")
SavingsOpportunityPercentage = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage")
k = 0
count_k = jResp.SizeOfArray("autoScalingGroupRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics")
Do While k < count_k
jResp.K = k
name = jResp.StringOf("autoScalingGroupRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].name")
statistic = jResp.StringOf("autoScalingGroupRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].statistic")
value = jResp.IntOf("autoScalingGroupRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].value")
k = k + 1
Loop
j = j + 1
Loop
j = 0
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].utilizationMetrics")
Do While j < count_j
jResp.J = j
name = jResp.StringOf("autoScalingGroupRecommendations[i].utilizationMetrics[j].name")
statistic = jResp.StringOf("autoScalingGroupRecommendations[i].utilizationMetrics[j].statistic")
value = jResp.IntOf("autoScalingGroupRecommendations[i].utilizationMetrics[j].value")
j = j + 1
Loop
i = i + 1
Loop
i = 0
count_i = jResp.SizeOfArray("errors")
Do While i < count_i
jResp.I = i
code = jResp.StringOf("errors[i].code")
identifier = jResp.StringOf("errors[i].identifier")
message = jResp.StringOf("errors[i].message")
i = i + 1
Loop
' A sample JSON response body parsed by the above code:
' {
' "autoScalingGroupRecommendations": [
' {
' "accountId": "string",
' "autoScalingGroupArn": "string",
' "autoScalingGroupName": "string",
' "currentConfiguration": {
' "desiredCapacity": number,
' "instanceType": "string",
' "maxSize": number,
' "minSize": number
' },
' "currentPerformanceRisk": "string",
' "effectiveRecommendationPreferences": {
' "cpuVendorArchitectures": [
' "string"
' ],
' "enhancedInfrastructureMetrics": "string",
' "inferredWorkloadTypes": "string"
' },
' "finding": "string",
' "inferredWorkloadTypes": [
' "string"
' ],
' "lastRefreshTimestamp": number,
' "lookBackPeriodInDays": number,
' "recommendationOptions": [
' {
' "configuration": {
' "desiredCapacity": number,
' "instanceType": "string",
' "maxSize": number,
' "minSize": number
' },
' "migrationEffort": "string",
' "performanceRisk": number,
' "projectedUtilizationMetrics": [
' {
' "name": "string",
' "statistic": "string",
' "value": number
' }
' ],
' "rank": number,
' "savingsOpportunity": {
' "estimatedMonthlySavings": {
' "currency": "string",
' "value": number
' },
' "savingsOpportunityPercentage": number
' }
' }
' ],
' "utilizationMetrics": [
' {
' "name": "string",
' "statistic": "string",
' "value": number
' }
' ]
' }
' ],
' "errors": [
' {
' "code": "string",
' "identifier": "string",
' "message": "string"
' }
' ],
' "nextToken": "string"
' }
%>
</body>
</html>
