Application Performance Metrics
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#1. Service List
Without inserting any code into the application, DeepFlow automatically generates application performance metrics for all services.
Database table name: flow_metrics.application.
#1.1 Tags
List of automatically injected tags: IP, protocol, port, collection location, cloud resources, K8s resources, K8s custom labels. Detailed field descriptions are as follows.
| Name | DisplayName | Description |
|---|---|---|
| time | Time | |
| region | Region | |
| az | Availability Zone | |
| host | VM Hypervisor | Host running virtual machine. |
| chost | Cloud Host | Including virtual machines |
| vpc | VPC | |
| subnet | Subnet | |
| router | Router | |
| dhcpgw | DHCP Gateway | |
| lb | Load Balancer | |
| lb_listener | Load Balancer Listener | |
| natgw | NAT Gateway | |
| redis | Redis | |
| rds | RDS | |
| pod_cluster | K8s Cluster | |
| pod_ns | K8s Namespace | |
| pod_node | K8s Node | |
| pod_ingress | K8s Ingress | |
| pod_service | K8s Service | |
| pod_group_type | K8s Workload Type | |
| pod_group | K8s Workload | Such as Deployment |
| pod | K8s POD | |
| service | Service | Deprecated，please use pod_service |
| auto_instance_type | Auto Instance Type | The type of 'auto_instance'. |
| auto_instance | Auto Instance Tag | The instance of IP |
| auto_service_type | Auto Service Type | The type of 'auto_service'. |
| auto_service | Auto Service Tag | On the basis of 'auto_instance' |
| gprocess | Process | |
| host_ip | VM Hypervisor | The management IP address of VM Hypervisor. |
| host_hostname | VM Hypervisor | The hostname of VM Hypervisor. |
| chost_ip | Cloud Host | The primary IP address of Cloud Host. |
| chost_hostname | Cloud Host | The hostname of Cloud Host. |
| pod_node_ip | K8s Node | The primary IP address of K8s Node. |
| pod_node_hostname | K8s Node | The hostname of K8s Node. |
| k8s.label | K8s Label | |
| k8s.annotation | K8s Annotation | |
| k8s.env | K8s Env | |
| cloud.tag | Cloud Tag | |
| os.app | OS APP | |
| ip | IP Address | |
| is_ipv4 | IPv4 Flag | |
| protocol | Network Protocol | |
| server_port | Server Port | |
| l7_protocol | Application Protocol | |
| app_service | Application Service | |
| app_instance | Application Instance | |
| endpoint | Endpoint | |
| tap | Traffic Access Point | Deprecated，please use capture_network_type. |
| capture_network_type | Network Location | The network location for capturing traffic uses a fixed value (Cloud Network) to represent intra-cloud traffic |
| vtap | DeepFlow Agent | Deprecated，please use agent. |
| agent | DeepFlow Agent | |
| signal_source | Signal Source | |
| role | Role | |
| biz_type | Business Type |
generate from csv file: application.en
#1.2 Metrics
Metrics list: throughput, latency, anomalies. Detailed field descriptions are as follows.
| Field | DisplayName | Unit | Description |
|---|---|---|---|
| request | Request | ||
| response | Response | ||
| response_ratio | Response % | % | |
| success_ratio | Success % | % | |
| rrt | Avg Delay | us | |
| rrt_max | Max Delay | us | |
| error | Error | ||
| client_error | Client Error | ||
| server_error | Server Error | ||
| timeout | Timeout | ||
| error_ratio | Error % | % | |
| client_error_ratio | Client Error % | % | |
| server_error_ratio | Server Error % | % | |
| timeout_ratio | Timeout % | % | |
| row | Row Count |
generate from csv file: application.en
#1.3 Grafana Dashboard
Based on the above data, you can build rich dashboards through Grafana. We have preset an Application - K8s Pod dashboard in Grafana, as shown below:
Application K8s Pod
You can also visit DeepFlow Online Demo (opens new window) to see the effect.
#2. Universal Service Map
Without inserting any code into the application, DeepFlow automatically generates full-stack access paths and application performance metrics for all services.
Database table name: flow_metrics.application_map.
#2.1 Tags
List of automatically injected tags: IP, protocol, port, collection location, cloud resources, K8s resources, K8s custom labels. Detailed field descriptions are as follows.
| Name | DisplayName | Description |
|---|---|---|
| time | Time | |
| region | Region | |
| az | Availability Zone | |
| host | VM Hypervisor | Host running virtual machine. |
| chost | Cloud Host | Including virtual machines |
| vpc | VPC | |
| subnet | Subnet | |
| router | Router | |
| dhcpgw | DHCP Gateway | |
| lb | Load Balancer | |
| lb_listener | Load Balancer Listener | |
| natgw | NAT Gateway | |
| redis | Redis | |
| rds | RDS | |
| pod_cluster | K8s Cluster | |
| pod_ns | K8s Namespace | |
| pod_node | K8s Node | |
| pod_ingress | K8s Ingress | |
| pod_service | K8s Service | |
| pod_group_type | K8s Workload Type | |
| pod_group | K8s Workload | Such as Deployment |
| pod | K8s POD | |
| service | Service | Deprecated，please use pod_service |
| auto_instance_type | Auto Instance Type | The type of 'auto_instance'. |
| auto_instance | Auto Instance Tag | The instance of IP |
| auto_service_type | Auto Service Type | The type of 'auto_service'. |
| auto_service | Auto Service Tag | On the basis of 'auto_instance' |
| gprocess | Process | |
| tap_port_host | Tap Port Host | |
| tap_port_chost | Tap Port Cloud Host | |
| tap_port_pod_node | Tap Port K8s Node | |
| capture_nic_host | Host of Capture NIC | |
| capture_nic_chost | Cloud Host of Capture NIC | |
| capture_nic_pod_node | K8s Node of Capture NIC | |
| host_ip | VM Hypervisor | The management IP address of VM Hypervisor. |
| host_hostname | VM Hypervisor | The hostname of VM Hypervisor. |
| chost_ip | Cloud Host | The primary IP address of Cloud Host. |
| chost_hostname | Cloud Host | The hostname of Cloud Host. |
| pod_node_ip | K8s Node | The primary IP address of K8s Node. |
| pod_node_hostname | K8s Node | The hostname of K8s Node. |
| k8s.label | K8s Label | |
| k8s.annotation | K8s Annotation | |
| k8s.env | K8s Env | |
| cloud.tag | Cloud Tag | |
| os.app | OS APP | |
| ip | IP Address | |
| is_ipv4 | IPv4 Flag | |
| is_internet | Internet IP Flag | Whether the IP address is an external Internet address. |
| protocol | Network Protocol | |
| tunnel_type | Tunnel Type | |
| server_port | Server Port | |
| l7_protocol | Application Protocol | |
| app_service | Application Service | |
| app_instance | Application Instance | |
| endpoint | Endpoint | |
| tap | Traffic Access Point | Deprecated，please use capture_network_type. |
| capture_network_type | Network Location | The network location for capturing traffic uses a fixed value (Cloud Network) to represent intra-cloud traffic |
| vtap | DeepFlow Agent | |
| agent | DeepFlow Agent | |
| nat_source | NAT Source | |
| tap_port | TAP Port Identifier | Deprecated |
| tap_port_name | TAP Port Name | Deprecated |
| tap_port_type | TAP Port Type | Deprecated |
| capture_nic | Capture NIC ID | When the value of tap_port_type is 'Local NIC' |
| capture_nic_name | Capture NIC Name | When the value of tap_port_type is 'Local NIC' |
| capture_nic_type | Capture NIC Type | Indicates the type of traffic collection location |
| tap_side | TAP Side | Deprecated |
| observation_point | Observation Point | The logical location of the collection location in the traffic path |
| signal_source | Signal Source | |
| biz_type | Business Type |
generate from csv file: application_map.en
#2.2 Metrics
Metrics list: throughput, latency, anomalies. Detailed field descriptions are as follows.
| Field | DisplayName | Unit | Description |
|---|---|---|---|
| request | Request | ||
| response | Response | ||
| direction_score | Direction Score | The higher the score | |
| response_ratio | Response % | % | |
| success_ratio | Success % | % | |
| rrt | Avg Delay | us | |
| rrt_max | Max Delay | us | |
| error | Error | ||
| client_error | Client Error | ||
| server_error | Server Error | ||
| timeout | Timeout | ||
| error_ratio | Error % | % | |
| client_error_ratio | Client Error % | % | |
| server_error_ratio | Server Error % | % | |
| timeout_ratio | Timeout % | % | |
| row | Row Count |
generate from csv file: application_map.en
#2.3 Grafana Dashboard
Based on the above data, you can build rich dashboards through Grafana. We have preset an Application - K8s Pod Map dashboard in Grafana, as shown below:
Application K8s Pod Map
You can also visit DeepFlow Online Demo (opens new window) to see the effect.