GetEC2InstanceRecommendations VB.NET Example
' This example requires the Chilkat API to have been previously unlocked.
' See Global Unlock Sample for sample code.
Dim rest As New Chilkat.Rest
Dim success As Boolean
Dim authAws As New Chilkat.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
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,True,True)
If (success <> True) Then
Debug.WriteLine("ConnectFailReason: " & rest.ConnectFailReason)
Debug.WriteLine(rest.LastErrorText)
Exit Sub
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
Dim json As New Chilkat.JsonObject
json.UpdateString("accountIds[0]","string")
json.UpdateString("filters[0].name","string")
json.UpdateString("filters[0].values[0]","string")
json.UpdateString("instanceArns[0]","string")
json.UpdateInt("maxResults",123)
json.UpdateString("nextToken","string")
json.UpdateString("recommendationPreferences.cpuVendorArchitectures[0]","string")
' The JSON request body created by the above code:
' {
' "accountIds": [
' "string"
' ],
' "filters": [
' {
' "name": "string",
' "values": [
' "string"
' ]
' }
' ],
' "instanceArns": [
' "string"
' ],
' "maxResults": number,
' "nextToken": "string",
' "recommendationPreferences": {
' "cpuVendorArchitectures": [
' "string"
' ]
' }
' }
rest.AddHeader("Content-Type","application/x-amz-json-1.0")
rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetEC2InstanceRecommendations")
Dim sbRequestBody As New Chilkat.StringBuilder
json.EmitSb(sbRequestBody)
Dim sbResponseBody As New Chilkat.StringBuilder
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody)
If (success <> True) Then
Debug.WriteLine(rest.LastErrorText)
Exit Sub
End If
Dim respStatusCode As Integer = rest.ResponseStatusCode
Debug.WriteLine("response status code = " & respStatusCode)
If (respStatusCode <> 200) Then
Debug.WriteLine("Response Header:")
Debug.WriteLine(rest.ResponseHeader)
Debug.WriteLine("Response Body:")
Debug.WriteLine(sbResponseBody.GetAsString())
Exit Sub
End If
Dim jResp As New Chilkat.JsonObject
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
Dim code As String
Dim identifier As String
Dim message As String
Dim accountId As String
Dim currentInstanceType As String
Dim currentPerformanceRisk As String
Dim EnhancedInfrastructureMetrics As String
Dim InferredWorkloadTypes As String
Dim finding As String
Dim instanceArn As String
Dim instanceName As String
Dim lastRefreshTimestamp As Integer
Dim lookBackPeriodInDays As Integer
Dim j As Integer
Dim count_j As Integer
Dim strVal As String
Dim instanceType As String
Dim migrationEffort As String
Dim performanceRisk As Integer
Dim rank As Integer
Dim v_Currency As String
Dim Value As Integer
Dim SavingsOpportunityPercentage As Integer
Dim k As Integer
Dim count_k As Integer
Dim name As String
Dim statistic As String
Dim value As Integer
Dim recommendationSourceArn As String
Dim recommendationSourceType As String
Dim nextToken As String = jResp.StringOf("nextToken")
Dim i As Integer = 0
Dim count_i As Integer = jResp.SizeOfArray("errors")
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
End While
i = 0
count_i = jResp.SizeOfArray("instanceRecommendations")
While i < count_i
jResp.I = i
accountId = jResp.StringOf("instanceRecommendations[i].accountId")
currentInstanceType = jResp.StringOf("instanceRecommendations[i].currentInstanceType")
currentPerformanceRisk = jResp.StringOf("instanceRecommendations[i].currentPerformanceRisk")
EnhancedInfrastructureMetrics = jResp.StringOf("instanceRecommendations[i].effectiveRecommendationPreferences.enhancedInfrastructureMetrics")
InferredWorkloadTypes = jResp.StringOf("instanceRecommendations[i].effectiveRecommendationPreferences.inferredWorkloadTypes")
finding = jResp.StringOf("instanceRecommendations[i].finding")
instanceArn = jResp.StringOf("instanceRecommendations[i].instanceArn")
instanceName = jResp.StringOf("instanceRecommendations[i].instanceName")
lastRefreshTimestamp = jResp.IntOf("instanceRecommendations[i].lastRefreshTimestamp")
lookBackPeriodInDays = jResp.IntOf("instanceRecommendations[i].lookBackPeriodInDays")
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures")
While j < count_j
jResp.J = j
strVal = jResp.StringOf("instanceRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]")
j = j + 1
End While
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].findingReasonCodes")
While j < count_j
jResp.J = j
strVal = jResp.StringOf("instanceRecommendations[i].findingReasonCodes[j]")
j = j + 1
End While
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].inferredWorkloadTypes")
While j < count_j
jResp.J = j
strVal = jResp.StringOf("instanceRecommendations[i].inferredWorkloadTypes[j]")
j = j + 1
End While
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].recommendationOptions")
While j < count_j
jResp.J = j
instanceType = jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].instanceType")
migrationEffort = jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].migrationEffort")
performanceRisk = jResp.IntOf("instanceRecommendations[i].recommendationOptions[j].performanceRisk")
rank = jResp.IntOf("instanceRecommendations[i].recommendationOptions[j].rank")
v_Currency = jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.currency")
Value = jResp.IntOf("instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.estimatedMonthlySavings.value")
SavingsOpportunityPercentage = jResp.IntOf("instanceRecommendations[i].recommendationOptions[j].savingsOpportunity.savingsOpportunityPercentage")
k = 0
count_k = jResp.SizeOfArray("instanceRecommendations[i].recommendationOptions[j].platformDifferences")
While k < count_k
jResp.K = k
strVal = jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].platformDifferences[k]")
k = k + 1
End While
k = 0
count_k = jResp.SizeOfArray("instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics")
While k < count_k
jResp.K = k
name = jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].name")
statistic = jResp.StringOf("instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].statistic")
value = jResp.IntOf("instanceRecommendations[i].recommendationOptions[j].projectedUtilizationMetrics[k].value")
k = k + 1
End While
j = j + 1
End While
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].recommendationSources")
While j < count_j
jResp.J = j
recommendationSourceArn = jResp.StringOf("instanceRecommendations[i].recommendationSources[j].recommendationSourceArn")
recommendationSourceType = jResp.StringOf("instanceRecommendations[i].recommendationSources[j].recommendationSourceType")
j = j + 1
End While
j = 0
count_j = jResp.SizeOfArray("instanceRecommendations[i].utilizationMetrics")
While j < count_j
jResp.J = j
name = jResp.StringOf("instanceRecommendations[i].utilizationMetrics[j].name")
statistic = jResp.StringOf("instanceRecommendations[i].utilizationMetrics[j].statistic")
value = jResp.IntOf("instanceRecommendations[i].utilizationMetrics[j].value")
j = j + 1
End While
i = i + 1
End While
' A sample JSON response body parsed by the above code:
' {
' "errors": [
' {
' "code": "string",
' "identifier": "string",
' "message": "string"
' }
' ],
' "instanceRecommendations": [
' {
' "accountId": "string",
' "currentInstanceType": "string",
' "currentPerformanceRisk": "string",
' "effectiveRecommendationPreferences": {
' "cpuVendorArchitectures": [
' "string"
' ],
' "enhancedInfrastructureMetrics": "string",
' "inferredWorkloadTypes": "string"
' },
' "finding": "string",
' "findingReasonCodes": [
' "string"
' ],
' "inferredWorkloadTypes": [
' "string"
' ],
' "instanceArn": "string",
' "instanceName": "string",
' "lastRefreshTimestamp": number,
' "lookBackPeriodInDays": number,
' "recommendationOptions": [
' {
' "instanceType": "string",
' "migrationEffort": "string",
' "performanceRisk": number,
' "platformDifferences": [
' "string"
' ],
' "projectedUtilizationMetrics": [
' {
' "name": "string",
' "statistic": "string",
' "value": number
' }
' ],
' "rank": number,
' "savingsOpportunity": {
' "estimatedMonthlySavings": {
' "currency": "string",
' "value": number
' },
' "savingsOpportunityPercentage": number
' }
' }
' ],
' "recommendationSources": [
' {
' "recommendationSourceArn": "string",
' "recommendationSourceType": "string"
' }
' ],
' "utilizationMetrics": [
' {
' "name": "string",
' "statistic": "string",
' "value": number
' }
' ]
' }
' ],
' "nextToken": "string"
' }
