GetAutoScalingGroupRecommendations C# Example
// This example requires the Chilkat API to have been previously unlocked.
// See Global Unlock Sample for sample code.
Chilkat.Rest rest = new Chilkat.Rest();
bool success;
Chilkat.AuthAws authAws = 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) {
Debug.WriteLine("ConnectFailReason: " + Convert.ToString(rest.ConnectFailReason));
Debug.WriteLine(rest.LastErrorText);
return;
}
// 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
Chilkat.JsonObject json = new Chilkat.JsonObject();
json.UpdateString("accountIds[0]","string");
json.UpdateString("autoScalingGroupArns[0]","string");
json.UpdateString("filters[0].name","string");
json.UpdateString("filters[0].values[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"
// ],
// "autoScalingGroupArns": [
// "string"
// ],
// "filters": [
// {
// "name": "string",
// "values": [
// "string"
// ]
// }
// ],
// "maxResults": number,
// "nextToken": "string",
// "recommendationPreferences": {
// "cpuVendorArchitectures": [
// "string"
// ]
// }
// }
rest.AddHeader("Content-Type","application/x-amz-json-1.0");
rest.AddHeader("X-Amz-Target","ComputeOptimizerService.GetAutoScalingGroupRecommendations");
Chilkat.StringBuilder sbRequestBody = new Chilkat.StringBuilder();
json.EmitSb(sbRequestBody);
Chilkat.StringBuilder sbResponseBody = new Chilkat.StringBuilder();
success = rest.FullRequestSb("POST","/",sbRequestBody,sbResponseBody);
if (success != true) {
Debug.WriteLine(rest.LastErrorText);
return;
}
int respStatusCode = rest.ResponseStatusCode;
Debug.WriteLine("response status code = " + Convert.ToString(respStatusCode));
if (respStatusCode != 200) {
Debug.WriteLine("Response Header:");
Debug.WriteLine(rest.ResponseHeader);
Debug.WriteLine("Response Body:");
Debug.WriteLine(sbResponseBody.GetAsString());
return;
}
Chilkat.JsonObject jResp = 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
string accountId;
string autoScalingGroupArn;
string autoScalingGroupName;
int DesiredCapacity;
string InstanceType;
int MaxSize;
int MinSize;
string currentPerformanceRisk;
string EnhancedInfrastructureMetrics;
string InferredWorkloadTypes;
string finding;
int lastRefreshTimestamp;
int lookBackPeriodInDays;
int j;
int count_j;
string strVal;
int configurationDesiredCapacity;
string configurationInstanceType;
int configurationMaxSize;
int configurationMinSize;
string migrationEffort;
int performanceRisk;
int rank;
string v_Currency;
int Value;
int SavingsOpportunityPercentage;
int k;
int count_k;
string name;
string statistic;
int value;
string code;
string identifier;
string message;
string nextToken = jResp.StringOf("nextToken");
int i = 0;
int count_i = jResp.SizeOfArray("autoScalingGroupRecommendations");
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");
while (j < count_j) {
jResp.J = j;
strVal = jResp.StringOf("autoScalingGroupRecommendations[i].effectiveRecommendationPreferences.cpuVendorArchitectures[j]");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].inferredWorkloadTypes");
while (j < count_j) {
jResp.J = j;
strVal = jResp.StringOf("autoScalingGroupRecommendations[i].inferredWorkloadTypes[j]");
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].recommendationOptions");
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");
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;
}
j = j + 1;
}
j = 0;
count_j = jResp.SizeOfArray("autoScalingGroupRecommendations[i].utilizationMetrics");
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;
}
i = i + 1;
}
i = 0;
count_i = 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;
}
// 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"
// }
