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ns/flamegr
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issue_5222
| Author | SHA1 | Date | |
|---|---|---|---|
|
20085fc03f | ||
|
|
bc4a033799 | ||
|
|
7ff6c43460 |
@@ -1360,6 +1360,7 @@ components:
|
||||
- sqs
|
||||
- storageaccountsblob
|
||||
- cdnprofile
|
||||
- aks
|
||||
type: string
|
||||
CloudintegrationtypesServiceMetadata:
|
||||
properties:
|
||||
|
||||
@@ -2651,6 +2651,7 @@ export enum CloudintegrationtypesServiceIDDTO {
|
||||
sqs = 'sqs',
|
||||
storageaccountsblob = 'storageaccountsblob',
|
||||
cdnprofile = 'cdnprofile',
|
||||
aks = 'aks',
|
||||
}
|
||||
export type CloudintegrationtypesCloudIntegrationServiceDTOAnyOf = {
|
||||
/**
|
||||
|
||||
File diff suppressed because one or more lines are too long
@@ -0,0 +1 @@
|
||||
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|
||||
|
After Width: | Height: | Size: 4.4 KiB |
@@ -0,0 +1,293 @@
|
||||
{
|
||||
"id": "aks",
|
||||
"title": "Azure Kubernetes Service (AKS)",
|
||||
"icon": "file://icon.svg",
|
||||
"overview": "file://overview.md",
|
||||
"supportedSignals": {
|
||||
"metrics": true,
|
||||
"logs": true
|
||||
},
|
||||
"dataCollected": {
|
||||
"metrics": [
|
||||
{
|
||||
"name": "azure_kube_pod_status_ready_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_pod_status_ready_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_pod_status_phase_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_pod_status_phase_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_condition_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_condition_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_millicores_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_millicores_maximum",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_cpu_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_disk_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_rss_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_memory_working_set_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_in_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_in_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_out_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_node_network_out_bytes_maximum",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_current_inflight_requests_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_current_inflight_requests_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_cpu_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_cpu_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_memory_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_apiserver_memory_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_cpu_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_cpu_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_database_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_database_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_memory_usage_percentage_average",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_etcd_memory_usage_percentage_maximum",
|
||||
"unit": "Percent",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_cpu_cores_average",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_cpu_cores_total",
|
||||
"unit": "Count",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_memory_bytes_average",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
},
|
||||
{
|
||||
"name": "azure_kube_node_status_allocatable_memory_bytes_total",
|
||||
"unit": "Bytes",
|
||||
"type": "Gauge",
|
||||
"description": ""
|
||||
}
|
||||
],
|
||||
"logs": [
|
||||
{
|
||||
"name": "Resource ID",
|
||||
"path": "resources.azure.resource.id",
|
||||
"type": "string"
|
||||
}
|
||||
]
|
||||
},
|
||||
"telemetryCollectionStrategy": {
|
||||
"azure": {
|
||||
"resourceProvider": "Microsoft.ContainerService",
|
||||
"resourceType": "managedClusters",
|
||||
"metrics": {},
|
||||
"logs": {
|
||||
"categoryGroups": ["allLogs"]
|
||||
}
|
||||
}
|
||||
},
|
||||
"assets": {
|
||||
"dashboards": [
|
||||
{
|
||||
"id": "overview",
|
||||
"title": "Azure Kubernetes Service (AKS) Overview",
|
||||
"description": "Overview of Azure Kubernetes Service (AKS) metrics",
|
||||
"definition": "file://assets/dashboards/overview.json"
|
||||
}
|
||||
]
|
||||
}
|
||||
}
|
||||
@@ -0,0 +1,3 @@
|
||||
### Monitor Azure Kubernetes Service (AKS) with SigNoz
|
||||
|
||||
Collect key AKS metrics and view them with an out of the box dashboard.
|
||||
@@ -59,19 +59,19 @@ func (c Config) Validate() error {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.waterfall.max_limit_to_select_all_spans must be positive")
|
||||
}
|
||||
if c.Flamegraph.MaxSelectedLevels <= 0 {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.level_limit must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.level_limit must be positive, got %d", c.Flamegraph.MaxSelectedLevels)
|
||||
}
|
||||
if c.Flamegraph.MaxSpansPerLevel <= 0 {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.spans_per_level must be positive, got %d", c.Flamegraph.MaxSpansPerLevel)
|
||||
}
|
||||
if c.Flamegraph.SamplingTopLatencySpansCount < 0 {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.top_latency_count cannot be negative, got %d", c.Flamegraph.SamplingTopLatencySpansCount)
|
||||
}
|
||||
if c.Flamegraph.SamplingBucketCount <= 0 {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.bucket_count must be positive, got %d", c.Flamegraph.SamplingBucketCount)
|
||||
}
|
||||
if c.Flamegraph.SelectAllSpansLimit == 0 {
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "traces.flamegraph.max_limit_to_select_all_spans must be positive")
|
||||
return errors.NewInvalidInputf(errors.CodeInvalidInput, "tracedetail.flamegraph.max_limit_to_select_all_spans must be positive")
|
||||
}
|
||||
return nil
|
||||
}
|
||||
|
||||
@@ -27,6 +27,7 @@ var (
|
||||
// Azure services.
|
||||
AzureServiceStorageAccountsBlob = ServiceID{valuer.NewString("storageaccountsblob")}
|
||||
AzureServiceCDNProfile = ServiceID{valuer.NewString("cdnprofile")}
|
||||
AzureServiceAKS = ServiceID{valuer.NewString("aks")}
|
||||
)
|
||||
|
||||
func (ServiceID) Enum() []any {
|
||||
@@ -46,6 +47,7 @@ func (ServiceID) Enum() []any {
|
||||
AWSServiceSQS,
|
||||
AzureServiceStorageAccountsBlob,
|
||||
AzureServiceCDNProfile,
|
||||
AzureServiceAKS,
|
||||
}
|
||||
}
|
||||
|
||||
@@ -69,6 +71,7 @@ var SupportedServices = map[CloudProviderType][]ServiceID{
|
||||
CloudProviderTypeAzure: {
|
||||
AzureServiceStorageAccountsBlob,
|
||||
AzureServiceCDNProfile,
|
||||
AzureServiceAKS,
|
||||
},
|
||||
}
|
||||
|
||||
|
||||
@@ -41,52 +41,12 @@ func NewFlamegraphTraceFromStorable(spans []StorableSpan, selectFields []telemet
|
||||
}
|
||||
|
||||
func (t *FlamegraphTrace) GetAllLevels() [][]*FlamegraphSpan {
|
||||
var result [][]*FlamegraphSpan
|
||||
for _, root := range t.roots {
|
||||
currentLevel := []*FlamegraphSpan{root}
|
||||
for depth := int64(0); len(currentLevel) > 0; depth++ {
|
||||
var nextLevel []*FlamegraphSpan
|
||||
for _, node := range currentLevel {
|
||||
node.Level = depth
|
||||
nextLevel = append(nextLevel, node.Children...)
|
||||
}
|
||||
result = append(result, currentLevel)
|
||||
currentLevel = nextLevel
|
||||
}
|
||||
}
|
||||
|
||||
return result
|
||||
return nil
|
||||
}
|
||||
|
||||
// GetSelectedLevels returns the window of levels around selectedSpanID with sampling applied to dense levels.
|
||||
func (t *FlamegraphTrace) GetSelectedLevels(selectedSpanID string, levelLimit, spansPerLevel, topLatencyCount, bucketCount int) []FlamegraphLevel {
|
||||
allLevels := t.GetAllLevels()
|
||||
|
||||
selectedIndex := getLevelIndex(allLevels, selectedSpanID)
|
||||
|
||||
// 40% window above level with selected span and 60% below that
|
||||
beforeSelectedLevel := int(float64(levelLimit) * 0.4)
|
||||
startLevel := max(0, selectedIndex-beforeSelectedLevel)
|
||||
endLevel := min(len(allLevels), startLevel+levelLimit)
|
||||
|
||||
result := make([]FlamegraphLevel, 0, endLevel-startLevel)
|
||||
for i := startLevel; i < endLevel; i++ {
|
||||
spans := allLevels[i]
|
||||
sampled := spans
|
||||
if len(spans) > spansPerLevel {
|
||||
sampled = t.sampleLevel(spans, selectedSpanID, i == selectedIndex, topLatencyCount, bucketCount)
|
||||
}
|
||||
if len(sampled) == 0 {
|
||||
continue
|
||||
}
|
||||
spanIDs := make([]string, len(sampled))
|
||||
for j, s := range sampled {
|
||||
spanIDs[j] = s.SpanID
|
||||
}
|
||||
result = append(result, FlamegraphLevel{Level: spans[0].Level, SpanIDs: spanIDs})
|
||||
}
|
||||
|
||||
return result
|
||||
return nil
|
||||
}
|
||||
|
||||
func (t *FlamegraphTrace) EnrichSelectedSpans(selectedSpans []FlamegraphLevel, fullSpans []StorableSpan, selectFields []telemetrytypes.TelemetryFieldKey) [][]*FlamegraphSpan {
|
||||
@@ -141,62 +101,6 @@ func (t *FlamegraphTrace) buildSpanTree() {
|
||||
})
|
||||
}
|
||||
|
||||
func (t *FlamegraphTrace) sampleLevel(spans []*FlamegraphSpan, selectedSpanID string, isSelectedLevel bool, topLatencyCount, bucketCount int) []*FlamegraphSpan {
|
||||
sorted := make([]*FlamegraphSpan, len(spans))
|
||||
copy(sorted, spans)
|
||||
sort.Slice(sorted, func(i, j int) bool {
|
||||
return sorted[i].DurationNano > sorted[j].DurationNano
|
||||
})
|
||||
|
||||
topK := min(topLatencyCount, len(sorted))
|
||||
sampled := make([]*FlamegraphSpan, topK, topK+1)
|
||||
copy(sampled, sorted[:topK])
|
||||
|
||||
if isSelectedLevel {
|
||||
for _, span := range sorted {
|
||||
if span.SpanID == selectedSpanID {
|
||||
sampled = append(sampled, span)
|
||||
break
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
return append(sampled, t.bucketSampleSpans(sorted, bucketCount)...)
|
||||
}
|
||||
|
||||
func (t *FlamegraphTrace) bucketSampleSpans(sorted []*FlamegraphSpan, bucketCount int) []*FlamegraphSpan {
|
||||
bucketSize := (t.endTime - t.startTime) / uint64(bucketCount)
|
||||
if bucketSize == 0 {
|
||||
bucketSize = 1
|
||||
}
|
||||
buckets := make([][]*FlamegraphSpan, bucketCount)
|
||||
for _, span := range sorted {
|
||||
if span.Timestamp < t.startTime || span.Timestamp > t.endTime {
|
||||
continue
|
||||
}
|
||||
idx := min(int((span.Timestamp-t.startTime)/bucketSize), bucketCount-1)
|
||||
if len(buckets[idx]) < 2 {
|
||||
buckets[idx] = append(buckets[idx], span)
|
||||
}
|
||||
}
|
||||
var result []*FlamegraphSpan
|
||||
for _, bucket := range buckets {
|
||||
result = append(result, bucket...)
|
||||
}
|
||||
return result
|
||||
}
|
||||
|
||||
func getLevelIndex(levels [][]*FlamegraphSpan, spanID string) int {
|
||||
for i, lvl := range levels {
|
||||
for _, span := range lvl {
|
||||
if span.SpanID == spanID {
|
||||
return i
|
||||
}
|
||||
}
|
||||
}
|
||||
return 0
|
||||
}
|
||||
|
||||
func flamegraphSpanIndex(spans []*FlamegraphSpan, spanID string) int {
|
||||
for i, s := range spans {
|
||||
if s.SpanID == spanID {
|
||||
|
||||
Reference in New Issue
Block a user