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global:
  kfuse-profiling:
    enabled: true

Note: Profiles are stored in parquet format on AWS or GCP.

pyroscope:
  pyroscope:
    # ChooseAdd thesupport appropriatefor configurationstorage basedin ons3 yourand storagegcs provider.for saving profiles data
      # AWS S3 Configuration Instructions:
    # 1.Additional Setconfiguration theis 'backend'needed todepending 's3'on where the storage is #hosted 2.(AWS ConfigureS3 theor following S3-specific settings:GCP GCS)
     # Choose the appropriate - bucket_name: Name ofconfiguration based on your S3storage bucketprovider.
    #
   - region:# AWS region where your bucket is located
    #S3 Configuration Instructions:
    # 1. Set the 'backend' to 's3'
    -# endpoint:2. S3Configure endpointthe forfollowing your regionS3-specific settings:
    #    - accessbucket_key_idname: YourName AWSof accessyour keyS3 IDbucket
    #    - secret_access_keyregion: Your AWS secretregion accesswhere keyyour bucket is located
    #    - insecureendpoint: SetS3 toendpoint truefor ifyour usingregion
HTTP instead of HTTPS (not# recommended for production) - access_key_id: Your AWS access key ID
  # Example AWS# S3 configuration:     config- secret_access_key: |Your AWS secret access   key
storage:    #    - backendinsecure: s3Set to true if using HTTP instead of HTTPS (not recommended for production)
    
    # Example AWS S3 configuration:
    config: |
      storage:
        backend: s3
        s3:
          bucket_name: your-bucket-name
          region: us-west-2
          endpoint: s3.us-west-2.amazonaws.com
          access_key_id: YOUR_ACCESS_KEY_ID
          secret_access_key: YOUR_SECRET_ACCESS_KEY
          insecure: false
    
    # GCP GCS Configuration Instructions:
    # 1. Set the 'backend' to 'gcs'
    # 2. Configure the following GCS-specific settings:
    #    - bucket_name: Name of your GCS bucket
    #    - service_account: JSON key file for your GCP service account
    
    # Prerequisites for GCP GCS:
    # - Create a GCP service account with access to the GCS bucket
    # - Download the JSON key file for the service account
    
    # Example GCP GCS configuration:
    config: |
      storage:
        backend: gcs
        gcs:
          bucket_name: your-gcs-bucket-name
          service_account: |
            {
              "type": "service_account",
              "project_id": "your-project-id",
              "private_key_id": "your-private-key-id",
              "private_key": "-----BEGIN PRIVATE KEY-----\n...\n-----END PRIVATE KEY-----\n",
              "client_email": "your-service-account-email@your-project-id.iam.gserviceaccount.com",
              "client_id": "your-client-id",
              "auth_uri": "https://accounts.google.com/o/oauth2/auth",
              "token_uri": "https://oauth2.googleapis.com/token",
              "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
              "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/your-service-account-email%40your-project-id.iam.gserviceaccount.com",
              "universe_domain": "googleapis.com"
            }    "auth_provider_x509_cert_url": "https://www.googleapis.com/oauth2/v1/certs",
              "client_x509_cert_url": "https://www.googleapis.com/robot/v1/metadata/x509/your-service-account-email%40your-project-id.iam.gserviceaccount.com",
              "universe_domain": "googleapis.com"
            }    

Prerequisite:
1. Ensure your Golang application exposes pprof endpoints.
2. In pull mode, the collector, Alloy, periodically retrieves profiles from Golang applications, specifically targeting the /debug/pprof/* endpoints.
3. If your go code is not setup to generate profiles, you need to setup Golang profiling. 4. Alloy then queries the pprof endpoints of your Golang application, collects the profiles, and forwards them to the Kfuse Profiler server.

pyroscope:
  alloy:
    enabled: true

# -- Overrides the chart's name. Used to change the infix in the resource names.
nameOverride: null

# -- Overrides the chart's computed fullname. Used to change the full prefix of
# resource names.
fullnameOverride: null

## Global properties for image pulling override the values defined under `image.registry` and `configReloader.image.registry`.
## If you want to override only one image registry, use the specific fields but if you want to override them all, use `global.image.registry`
global:
  image:
    # -- Global image registry to use if it needs to be overriden for some specific use cases (e.g local registries, custom images, ...)
    registry: ""

    # -- Optional set of global image pull secrets.
    pullSecrets: []

  # -- Security context to apply to the Grafana Alloy pod.
  podSecurityContext: {}

crds:
  # -- Whether to install CRDs for monitoring.
  create: true

## Various Alloy settings. For backwards compatibility with the grafana-agent
## chart, this field may also be called "agent". Naming this field "agent" is
## deprecated and will be removed in a future release.
alloy:
  configMap:
    # -- Create a new ConfigMap for the config file.
    create: true
    # -- Content to assign to the new ConfigMap.  This is passed into `tpl` allowing for templating from values.
    content: |-
      // Write your Alloy config here:
      logging {
        level = "info"
        format = "logfmt"
      }
      discovery.kubernetes "pyroscope_kubernetes" {
        	role = "pod"
        }

        discovery.relabel "kubernetes_pods" {
        	targets = concat(discovery.kubernetes.pyroscope_kubernetes.targets)

        	rule {
        		action        = "drop"
        		source_labels = ["__meta_kubernetes_pod_phase"]
        		regex         = "Pending|Succeeded|Failed|Completed"
        	}

        	rule {
        		action = "labelmap"
        		regex  = "__meta_kubernetes_pod_label_(.+)"
        	}

        	rule {
        		action        = "replace"
        		source_labels = ["__meta_kubernetes_namespace"]
        		target_label  = "kubernetes_namespace"
        	}

        	rule {
        		action        = "replace"
        		source_labels = ["__meta_kubernetes_pod_name"]
        		target_label  = "kubernetes_pod_name"
        	}

        	rule {
        		action        = "keep"
        		source_labels = ["__meta_kubernetes_pod_annotation_pyroscope_io_scrape"]
        		regex = "true"
        	}

        	rule {
        		action        = "replace"
        		source_labels = ["__meta_kubernetes_pod_annotation_pyroscope_io_application_name"]
        		target_label = "service_name"
        	}

        	rule {
        		action        = "replace"
        		source_labels = ["__meta_kubernetes_pod_annotation_pyroscope_io_spy_name"]
        		target_label = "__spy_name__"
        	}

        	rule {
        		action        = "replace"
        		source_labels = ["__meta_kubernetes_pod_annotation_pyroscope_io_scheme"]
        		regex = "(https?)"
        		target_label = "__scheme__"
        	}

        	rule {
        		action        = "replace"
        		source_labels = ["__address__", "__meta_kubernetes_pod_annotation_pyroscope_io_port"]
        		regex = "(.+?)(?::\\d+)?;(\\d+)"
        		replacement = "$1:$2"
        		target_label = "__address__"
        	}

        	rule {
        		action = "labelmap"
        		regex  = "__meta_kubernetes_pod_annotation_pyroscope_io_profile_(.+)"
        		replacement = "__profile_$1"
        	}
        }
        pyroscope.scrape "pyroscope_scrape" {
        	clustering {
        		enabled = true
        	}

        	targets    = concat(discovery.relabel.kubernetes_pods.output)
        	forward_to = [pyroscope.write.pyroscope_write.receiver]

        	profiling_config {
        		profile.memory {
        			enabled = true
        		}
        
        		profile.process_cpu {
        			enabled = true
        		}
        
        		profile.goroutine {
        			enabled = true
        		}
        
        		profile.block {
        			enabled = false
        		}
        
        		profile.mutex {
        			enabled = false
        		}
        
        		profile.fgprof {
        			enabled = false
        		}
        	}
        }
        pyroscope.write "pyroscope_write" {
        	endpoint {
            url = "https://pisco.kloudfuse.io/profile"
          }
        }
    # -- Name of existing ConfigMap to use. Used when create is false.
    name: null
    # -- Key in ConfigMap to get config from.
    key: null

  clustering:
    # -- Deploy Alloy in a cluster to allow for load distribution.
    enabled: false

    # -- Name for the Alloy cluster. Used for differentiating between clusters.
    name: ""

    # -- Name for the port used for clustering, useful if running inside an Istio Mesh
    portName: http

  # -- Minimum stability level of components and behavior to enable. Must be
  # one of "experimental", "public-preview", or "generally-available".
  stabilityLevel: "generally-available"

  # -- Path to where Grafana Alloy stores data (for example, the Write-Ahead Log).
  # By default, data is lost between reboots.
  storagePath: /tmp/alloy

  # -- Address to listen for traffic on. 0.0.0.0 exposes the UI to other
  # containers.
  listenAddr: 0.0.0.0

  # -- Port to listen for traffic on.
  listenPort: 12345

  # -- Scheme is needed for readiness probes. If enabling tls in your configs, set to "HTTPS"
  listenScheme: HTTP

  # --  Base path where the UI is exposed.
  uiPathPrefix: /

  # -- Enables sending Grafana Labs anonymous usage stats to help improve Grafana
  # Alloy.
  enableReporting: true

  # -- Extra environment variables to pass to the Alloy container.
  extraEnv: []

  # -- Maps all the keys on a ConfigMap or Secret as environment variables. https://kubernetes.io/docs/reference/generated/kubernetes-api/v1.24/#envfromsource-v1-core
  envFrom: []

  # -- Extra args to pass to `alloy run`: https://grafana.com/docs/alloy/latest/reference/cli/run/
  extraArgs: []

  # -- Extra ports to expose on the Alloy container.
  extraPorts: []
  # - name: "faro"
  #   port: 12347
  #   targetPort: 12347
  #   protocol: "TCP"
  #   appProtocol: "h2c"

  mounts:
    # -- Mount /var/log from the host into the container for log collection.
    varlog: false
    # -- Mount /var/lib/docker/containers from the host into the container for log
    # collection.
    dockercontainers: false

    # -- Extra volume mounts to add into the Grafana Alloy container. Does not
    # affect the watch container.
    extra: []

  # -- Security context to apply to the Grafana Alloy container.
  securityContext: {}

  # -- Resource requests and limits to apply to the Grafana Alloy container.
  resources: {}

image:
  # -- Grafana Alloy image registry (defaults to docker.io)
  registry: "docker.io"
  # -- Grafana Alloy image repository.
  repository: grafana/alloy
  # -- (string) Grafana Alloy image tag. When empty, the Chart's appVersion is
  # used.
  tag: null
  # -- Grafana Alloy image's SHA256 digest (either in format "sha256:XYZ" or "XYZ"). When set, will override `image.tag`.
  digest: null
  # -- Grafana Alloy image pull policy.
  pullPolicy: IfNotPresent
  # -- Optional set of image pull secrets.
  pullSecrets: []

rbac:
  # -- Whether to create RBAC resources for Alloy.
  create: true

serviceAccount:
  # -- Whether to create a service account for the Grafana Alloy deployment.
  create: true
  # -- Additional labels to add to the created service account.
  additionalLabels: {}
  # -- Annotations to add to the created service account.
  annotations: {}
  # -- The name of the existing service account to use when
  # serviceAccount.create is false.
  name: null

# Options for the extra controller used for config reloading.
configReloader:
  # -- Enables automatically reloading when the Alloy config changes.
  enabled: true
  image:
    # -- Config reloader image registry (defaults to docker.io)
    registry: "ghcr.io"
    # -- Repository to get config reloader image from.
    repository: jimmidyson/configmap-reload
    # -- Tag of image to use for config reloading.
    tag: v0.12.0
    # -- SHA256 digest of image to use for config reloading (either in format "sha256:XYZ" or "XYZ"). When set, will override `configReloader.image.tag`
    digest: ""
  # -- Override the args passed to the container.
  customArgs: []
  # -- Resource requests and limits to apply to the config reloader container.
  resources:
    requests:
      cpu: "1m"
      memory: "5Mi"
  # -- Security context to apply to the Grafana configReloader container.
  securityContext: {}

controller:
  # -- Type of controller to use for deploying Grafana Alloy in the cluster.
  # Must be one of 'daemonset', 'deployment', or 'statefulset'.
  type: 'deployment'

  # -- Number of pods to deploy. Ignored when controller.type is 'daemonset'.
  replicas: 1

  # -- Annotations to add to controller.
  extraAnnotations: {}

  # -- Whether to deploy pods in parallel. Only used when controller.type is
  # 'statefulset'.
  parallelRollout: true

  # -- Configures Pods to use the host network. When set to true, the ports that will be used must be specified.
  hostNetwork: false

  # -- Configures Pods to use the host PID namespace.
  hostPID: false

  # -- Configures the DNS policy for the pod. https://kubernetes.io/docs/concepts/services-networking/dns-pod-service/#pod-s-dns-policy
  dnsPolicy: ClusterFirst

  # -- Update strategy for updating deployed Pods.
  updateStrategy: {}

  # -- nodeSelector to apply to Grafana Alloy pods.
  nodeSelector: {}

  # -- Tolerations to apply to Grafana Alloy pods.
  tolerations:
  - key: "ng_pisco"
    operator: "Equal"
    value: "kloudfuse"
    effect: "NoSchedule"

  # -- Topology Spread Constraints to apply to Grafana Alloy pods.
  topologySpreadConstraints: []

  # -- priorityClassName to apply to Grafana Alloy pods.
  priorityClassName: ''

  # -- Extra pod annotations to add.
  podAnnotations: {}

  # -- Extra pod labels to add.
  podLabels: {}

  # -- PodDisruptionBudget configuration.
  podDisruptionBudget:
    # -- Whether to create a PodDisruptionBudget for the controller.
    enabled: false
    # -- Minimum number of pods that must be available during a disruption.
    # Note: Only one of minAvailable or maxUnavailable should be set.
    minAvailable: null
    # -- Maximum number of pods that can be unavailable during a disruption.
    # Note: Only one of minAvailable or maxUnavailable should be set.
    maxUnavailable: null

  # -- Whether to enable automatic deletion of stale PVCs due to a scale down operation, when controller.type is 'statefulset'.
  enableStatefulSetAutoDeletePVC: false

  autoscaling:
    # -- Creates a HorizontalPodAutoscaler for controller type deployment.
    enabled: false
    # -- The lower limit for the number of replicas to which the autoscaler can scale down.
    minReplicas: 1
    # -- The upper limit for the number of replicas to which the autoscaler can scale up.
    maxReplicas: 5
    # -- Average CPU utilization across all relevant pods, a percentage of the requested value of the resource for the pods. Setting `targetCPUUtilizationPercentage` to 0 will disable CPU scaling.
    targetCPUUtilizationPercentage: 0
    # -- Average Memory utilization across all relevant pods, a percentage of the requested value of the resource for the pods. Setting `targetMemoryUtilizationPercentage` to 0 will disable Memory scaling.
    targetMemoryUtilizationPercentage: 80

    scaleDown:
      # -- List of policies to determine the scale-down behavior.
      policies: []
        # - type: Pods
        #   value: 4
        #   periodSeconds: 60
      # -- Determines which of the provided scaling-down policies to apply if multiple are specified.
      selectPolicy: Max
      # -- The duration that the autoscaling mechanism should look back on to make decisions about scaling down.
      stabilizationWindowSeconds: 300

    scaleUp:
      # -- List of policies to determine the scale-up behavior.
      policies: []
        # - type: Pods
        #   value: 4
        #   periodSeconds: 60
      # -- Determines which of the provided scaling-up policies to apply if multiple are specified.
      selectPolicy: Max
      # -- The duration that the autoscaling mechanism should look back on to make decisions about scaling up.
      stabilizationWindowSeconds: 0

  # -- Affinity configuration for pods.
  affinity:
    nodeAffinity:
      requiredDuringSchedulingIgnoredDuringExecution:
        nodeSelectorTerms:
        - matchExpressions:
          - key: ng_label
            operator: In
            values:
            - pisco

  volumes:
    # -- Extra volumes to add to the Grafana Alloy pod.
    extra: []

  # -- volumeClaimTemplates to add when controller.type is 'statefulset'.
  volumeClaimTemplates: []

  ## -- Additional init containers to run.
  ## ref: https://kubernetes.io/docs/concepts/workloads/pods/init-containers/
  ##
  initContainers: []

  # -- Additional containers to run alongside the Alloy container and initContainers.
  extraContainers: []

service:
  # -- Creates a Service for the controller's pods.
  enabled: true
  # -- Service type
  type: ClusterIP
  # -- NodePort port. Only takes effect when `service.type: NodePort`
  nodePort: 31128
  # -- Cluster IP, can be set to None, empty "" or an IP address
  clusterIP: ''
  # -- Value for internal traffic policy. 'Cluster' or 'Local'
  internalTrafficPolicy: Cluster
  annotations: {}
    # cloud.google.com/load-balancer-type: Internal

serviceMonitor:
  enabled: false
  # -- Additional labels for the service monitor.
  additionalLabels: {}
  # -- Scrape interval. If not set, the Prometheus default scrape interval is used.
  interval: ""
  # -- MetricRelabelConfigs to apply to samples after scraping, but before ingestion.
  # ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#relabelconfig
  metricRelabelings: []
  # - action: keep
  #   regex: 'kube_(daemonset|deployment|pod|namespace|node|statefulset).+'
  #   sourceLabels: [__name__]

  # -- Customize tls parameters for the service monitor
  tlsConfig: {}

  # -- RelabelConfigs to apply to samples before scraping
  # ref: https://github.com/prometheus-operator/prometheus-operator/blob/main/Documentation/api.md#relabelconfig
  relabelings: []
  # - sourceLabels: [__meta_kubernetes_pod_node_name]
  #   separator: ;
  #   regex: ^(.*)$
  #   targetLabel: nodename
  #   replacement: $1
  #   action: replace
ingress:
  # -- Enables ingress for Alloy (Faro port)
  enabled: false
  # For Kubernetes >= 1.18 you should specify the ingress-controller via the field ingressClassName
  # See https://kubernetes.io/blog/2020/04/02/improvements-to-the-ingress-api-in-kubernetes-1.18/#specifying-the-class-of-an-ingress
  # ingressClassName: nginx
  # Values can be templated
  annotations:
    {}
    # kubernetes.io/ingress.class: nginx
    # kubernetes.io/tls-acme: "true"
  labels: {}
  path: /
  faroPort: 12347

  # pathType is only for k8s >= 1.1=
  pathType: Prefix

  hosts:
    - chart-example.local
  ## Extra paths to prepend to every host configuration. This is useful when working with annotation based services.
  extraPaths: []
  # - path: /*
  #   backend:
  #     serviceName: ssl-redirect
  #     servicePort: use-annotation
  ## Or for k8s > 1.19
  # - path: /*
  #   pathType: Prefix
  #   backend:
  #     service:
  #       name: ssl-redirect
  #       port:
  #         name: use-annotation

  tls: []
  #  - secretName: chart-example-tls
  #    hosts:
  #      - chart-example.local

pyroscope.write "write_job_name" {
    endpoint {
        url = "http://localhost:4040"
    }
}

pyroscope.scrape "scrape_job_name" {
        targets    = [{"__address__" = "localhost:4040", "service_name" = "example_service"}]
        forward_to = [pyroscope.write.write_job_name.receiver]

        profiling_config {
                profile.process_cpu {
                        enabled = true
                }

                profile.godeltaprof_memory {
                        enabled = true
                }

                profile.memory { // disable memory, use godeltaprof_memory instead
                        enabled = false
                }

                profile.godeltaprof_mutex {
                        enabled = true
                }

                profile.mutex { // disable mutex, use godeltaprof_mutex instead
                        enabled = false
                }

                profile.godeltaprof_block {
                        enabled = true
                }

                profile.block { // disable block, use godeltaprof_block instead
                        enabled = false
                }

                profile.goroutine {
                        enabled = true
                }
        }
}