func awsGetELBHostCounts(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, loadBalancer *elb.LoadBalancerDescription) error {
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -60)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("HealthyHostCount"),
Period: &aws_period,
Statistics: []*string{aws.String("Average")},
Namespace: aws.String("AWS/ELB"),
Unit: aws.String("Count"),
Dimensions: []*cloudwatch.Dimension{{Name: aws.String("LoadBalancerName"), Value: loadBalancer.LoadBalancerName}},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsELBHostsHealthy, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Count, descAWSELBHostCount)
}
search.MetricName = aws.String("UnhealthyHostCount")
resp, err = cw.GetMetricStatistics(&search)
if err != nil {
return err
}
if resp.Datapoints == nil {
AddTS(md, awsELBHostsUnHealthy, time.Now().UTC().Unix(), 0, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Count, descAWSELBHostCount)
} else {
for _, datapoint := range resp.Datapoints {
AddTS(md, awsELBHostsUnHealthy, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Count, descAWSELBHostCount)
}
}
return nil
}
// return sum of 5xx errors from a given ELB
func awsGetELB5XX(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, loadBalancer *elb.LoadBalancerDescription) error {
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -300)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("HTTPCode_Backend_5XX"),
Period: &aws_period,
Statistics: []*string{aws.String("Sum")},
Namespace: aws.String("AWS/ELB"),
Unit: aws.String("Count"),
Dimensions: []*cloudwatch.Dimension{
{
Name: aws.String("LoadBalancerName"),
Value: loadBalancer.LoadBalancerName,
},
},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsELBStatus5XX, datapoint.Timestamp.Unix(), *datapoint.Sum, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Second, descAWSELBStatus5XX)
}
return nil
}
func awsGetDiskOps(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, instance *ec2.Instance) error {
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -300)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("DiskReadOps"),
Period: &aws_period,
Statistics: []*string{aws.String("Average")},
Namespace: aws.String("AWS/EC2"),
Unit: aws.String("Count"),
Dimensions: []*cloudwatch.Dimension{{Name: aws.String("InstanceId"), Value: instance.InstanceId}},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsEC2DiskOps, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId, "operation": "read"}, metadata.Gauge, metadata.Count, descAWSEC2DiskOps)
}
search.MetricName = aws.String("DiskWriteOps")
resp, err = cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsEC2DiskOps, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId, "operation": "write"}, metadata.Gauge, metadata.Count, descAWSEC2DiskOps)
}
return nil
}
// return average CPU usage for a given AutoScaling group
func awsGetAsgCPU(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, asg autoscaling.Group) error {
params := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -300)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("CPUUtilization"),
Period: &aws_period,
Namespace: aws.String("AWS/EC2"),
Unit: aws.String("Percent"),
Statistics: []*string{
aws.String("Average"),
},
Dimensions: []*cloudwatch.Dimension{
{
Name: aws.String("AutoScalingGroupName"),
Value: aws.String(*asg.AutoScalingGroupName),
},
},
}
resp, err := cw.GetMetricStatistics(¶ms)
if err != nil {
return err
}
tags := opentsdb.TagSet{
"autoscalegroup": *asg.AutoScalingGroupName,
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsASGCPU, datapoint.Timestamp.Unix(), *datapoint.Average, tags, metadata.Gauge, metadata.Pct, descAWSASGCPU)
}
return nil
}
func awsGetNetwork(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, instance *ec2.Instance) error {
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -600)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("NetworkIn"),
Period: &aws_period,
Statistics: []*string{aws.String("Average")},
Namespace: aws.String("AWS/EC2"),
Unit: aws.String("Bytes"),
Dimensions: []*cloudwatch.Dimension{{Name: aws.String("InstanceId"), Value: instance.InstanceId}},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsNetwork, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId, "direction": "in"}, metadata.Gauge, metadata.Bytes, descAWSEC2NetBytes)
}
search.MetricName = aws.String("NetworkOut")
resp, err = cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsNetwork, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId, "direction": "out"}, metadata.Gauge, metadata.Bytes, descAWSEC2NetBytes)
}
return nil
}
func awsGetELBLatency(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, loadBalancer *elb.LoadBalancerDescription) error {
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -300)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("Latency"),
Period: &aws_period,
Statistics: []*string{aws.String("Average"), aws.String("Minimum"), aws.String("Maximum")},
Namespace: aws.String("AWS/ELB"),
Unit: aws.String("Seconds"),
Dimensions: []*cloudwatch.Dimension{{Name: aws.String("LoadBalancerName"), Value: loadBalancer.LoadBalancerName}},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsELBLatencyMin, datapoint.Timestamp.Unix(), *datapoint.Minimum, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Second, descAWSELBLatency)
AddTS(md, awsELBLatencyMax, datapoint.Timestamp.Unix(), *datapoint.Maximum, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Second, descAWSELBLatency)
AddTS(md, awsELBLatencyAvg, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"loadbalancer": *loadBalancer.LoadBalancerName}, metadata.Gauge, metadata.Second, descAWSELBLatency)
}
return nil
}
func awsGetCPU(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, instance *ec2.Instance) error {
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -300)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("CPUUtilization"),
Period: &aws_period,
Statistics: []*string{aws.String("Average")},
Namespace: aws.String("AWS/EC2"),
Unit: aws.String("Percent"),
Dimensions: []*cloudwatch.Dimension{{Name: aws.String("InstanceId"), Value: instance.InstanceId}},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
tags := opentsdb.TagSet{
"instance": *instance.InstanceId,
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsCPU, datapoint.Timestamp.Unix(), *datapoint.Average, tags, metadata.Gauge, metadata.Pct, descAWSEC2CPU)
}
return nil
}
func awsGetStatusChecks(cw cloudwatch.CloudWatch, md *opentsdb.MultiDataPoint, instance *ec2.Instance) error {
period := int64(60)
search := cloudwatch.GetMetricStatisticsInput{
StartTime: aws.Time(time.Now().UTC().Add(time.Second * -60)),
EndTime: aws.Time(time.Now().UTC()),
MetricName: aws.String("StatusCheckFailed"),
Period: &period,
Statistics: []*string{aws.String("Average")},
Namespace: aws.String("AWS/EC2"),
Unit: aws.String("Count"),
Dimensions: []*cloudwatch.Dimension{{Name: aws.String("InstanceId"), Value: instance.InstanceId}},
}
resp, err := cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsStatusCheckFailed, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId}, metadata.Gauge, metadata.Count, descAWSEC2StatusCheck)
}
search.MetricName = aws.String("StatusCheckFailed_Instance")
resp, err = cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsStatusCheckFailed, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId, "category": "instance"}, metadata.Gauge, metadata.Count, descAWSEC2StatusCheck)
}
search.MetricName = aws.String("StatusCheckFailed_System")
resp, err = cw.GetMetricStatistics(&search)
if err != nil {
return err
}
for _, datapoint := range resp.Datapoints {
AddTS(md, awsStatusCheckFailed, datapoint.Timestamp.Unix(), *datapoint.Average, opentsdb.TagSet{"instance": *instance.InstanceId, "category": "system"}, metadata.Gauge, metadata.Count, descAWSEC2StatusCheck)
}
return nil
}