83 lines
2.6 KiB
YAML
83 lines
2.6 KiB
YAML
- group: AWS Elastic Load Balancer
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priority: 10
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metrics:
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- title: "Throughput"
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y_label: "Requests / Sec"
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required_metrics:
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- aws_elb_request_count_sum
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weight: 1
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queries:
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- query_range: 'sum(aws_elb_request_count_sum{%{environment_filter}}) * 60'
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label: Total
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unit: req / sec
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- title: "Latency"
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y_label: "Latency (ms)"
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required_metrics:
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- aws_elb_latency_average
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weight: 1
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queries:
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- query_range: 'avg(aws_elb_latency_average{%{environment_filter}}) * 1000'
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label: Average
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unit: ms
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- title: "HTTP Error Rate"
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y_label: "Error Rate (%)"
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required_metrics:
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- aws_elb_request_count_sum
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- aws_elb_httpcode_backend_5_xx_sum
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weight: 1
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queries:
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- query_range: 'sum(aws_elb_httpcode_backend_5_xx_sum{%{environment_filter}}) / sum(aws_elb_request_count_sum{%{environment_filter}})'
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label: HTTP Errors
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unit: "%"
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- group: NGINX
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priority: 10
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metrics:
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- title: "Throughput"
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y_label: "Requests / Sec"
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required_metrics:
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- nginx_requests_total
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weight: 1
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queries:
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- query_range: 'sum(rate(nginx_requests_total{server_zone!="*", server_zone!="_", %{environment_filter}}[2m]))'
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label: Total
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unit: req / sec
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- title: "Latency"
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y_label: "Latency (ms)"
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required_metrics:
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- nginx_upstream_response_msecs_avg
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weight: 1
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queries:
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- query_range: 'avg(nginx_upstream_response_msecs_avg{%{environment_filter}}) * 1000'
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label: Upstream
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unit: ms
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- title: "HTTP Error Rate"
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y_label: "Error Rate (%)"
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required_metrics:
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- nginx_responses_total
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weight: 1
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queries:
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- query_range: 'sum(nginx_responses_total{status_code="5xx", %{environment_filter}}) / sum(nginx_responses_total{server_zone!="*", server_zone!="_", %{environment_filter}})'
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label: HTTP Errors
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unit: "%"
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- group: Kubernetes
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priority: 5
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metrics:
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- title: "Memory Usage"
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y_label: "Memory Usage (MB)"
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required_metrics:
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- container_memory_usage_bytes
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weight: 1
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queries:
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- query_range: '(sum(container_memory_usage_bytes{container_name!="POD",%{environment_filter}}) / count(container_memory_usage_bytes{container_name!="POD",%{environment_filter}})) /1024/1024'
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label: Average
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unit: MB
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- title: "CPU Utilization"
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y_label: "CPU Utilization (%)"
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required_metrics:
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- container_cpu_usage_seconds_total
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weight: 1
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queries:
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- query_range: 'sum(rate(container_cpu_usage_seconds_total{container_name!="POD",%{environment_filter}}[2m])) / count(container_cpu_usage_seconds_total{container_name!="POD",%{environment_filter}}) * 100'
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label: Average
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unit: "%"
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