# Default values for Falco.

###############################
# General deployment settings #
###############################

image:
  # -- The image pull policy.
  pullPolicy: IfNotPresent
  # -- The image registry to pull from.
  registry: docker.io
  # -- The image repository to pull from
  repository: falcosecurity/falco-no-driver
  # -- The image tag to pull. Overrides the image tag whose default is the chart appVersion.
  tag: ""

# -- Secrets containing credentials when pulling from private/secure registries.
imagePullSecrets: []
# -- Put here the new name if you want to override the release name used for Falco components.
nameOverride: ""
# -- Same as nameOverride but for the fullname.
fullnameOverride: ""
# -- Override the deployment namespace
namespaceOverride: ""

rbac:
  # Create and use rbac resources when set to true. Needed to fetch k8s metadata from the api-server.
  create: true

serviceAccount:
  # -- Specifies whether a service account should be created.
  create: true
  # -- Annotations to add to the service account.
  annotations: {}
  # -- The name of the service account to use.
  # If not set and create is true, a name is generated using the fullname template
  name: ""

# -- Add additional pod annotations
podAnnotations: {}

# -- Add additional pod labels
podLabels: {}

# -- Set pod priorityClassName
podPriorityClassName:

# -- Set securityContext for the pods
# These security settings are overriden by the ones specified for the specific
# containers when there is overlap.
podSecurityContext: {}

# Note that `containerSecurityContext`:
#  - will not apply to init containers, if any;
#  - takes precedence over other automatic configurations (see below).
#
# Based on the `driver` configuration the auto generated settings are:
# 1) driver.enabled = false:
#    securityContext: {}
#
# 2) driver.enabled = true and (driver.kind = module || driver.kind = modern-bpf):
#    securityContext:
#     privileged: true
#
# 3) driver.enabled = true and driver.kind = ebpf:
#    securityContext:
#     privileged: true
#
# 4) driver.enabled = true and driver.kind = ebpf and driver.ebpf.leastPrivileged = true
#    securityContext:
#     capabilities:
#      add:
#      - BPF
#      - SYS_RESOURCE
#      - PERFMON
#      - SYS_PTRACE
#
# -- Set securityContext for the Falco container.For more info see the "falco.securityContext" helper in "pod-template.tpl"
containerSecurityContext: {}

scc:
  # -- Create OpenShift's Security Context Constraint.
  create: true

resources:
  # -- Although resources needed are subjective on the actual workload we provide
  # a sane defaults ones. If you have more questions or concerns, please refer
  # to #falco slack channel for more info about it.
  requests:
    cpu: 100m
    memory: 512Mi
  # -- Maximum amount of resources that Falco container could get.
  # If you are enabling more than one source in falco, than consider to increase
  # the cpu limits.
  limits:
    cpu: 1000m
    memory: 1024Mi
# -- Selectors used to deploy Falco on a given node/nodes.
nodeSelector: {}

# -- Affinity constraint for pods' scheduling.
affinity: {}

# -- Tolerations to allow Falco to run on Kubernetes masters.
tolerations:
  - effect: NoSchedule
    key: node-role.kubernetes.io/master
  - effect: NoSchedule
    key: node-role.kubernetes.io/control-plane

# -- Parameters used
healthChecks:
  livenessProbe:
    # -- Tells the kubelet that it should wait X seconds before performing the first probe.
    initialDelaySeconds: 60
    # -- Number of seconds after which the probe times out.
    timeoutSeconds: 5
    # -- Specifies that the kubelet should perform the check every x seconds.
    periodSeconds: 15
  readinessProbe:
    # -- Tells the kubelet that it should wait X seconds before performing the first probe.
    initialDelaySeconds: 30
    # -- Number of seconds after which the probe times out.
    timeoutSeconds: 5
    # -- Specifies that the kubelet should perform the check every x seconds.
    periodSeconds: 15

# -- Attach the Falco process to a tty inside the container. Needed to flush Falco logs as soon as they are emitted.
# Set it to "true" when you need the Falco logs to be immediately displayed.
tty: false

#########################
# Scenario requirements #
#########################

# Sensors dislocation configuration (scenario requirement)
controller:
  # Available options: deployment, daemonset.
  kind: daemonset
  # Annotations to add to the daemonset or deployment
  annotations: {}
  daemonset:
    updateStrategy:
      # You can also customize maxUnavailable or minReadySeconds if you
      # need it
      # -- Perform rolling updates by default in the DaemonSet agent
      # ref: https://kubernetes.io/docs/tasks/manage-daemon/update-daemon-set/
      type: RollingUpdate
  deployment:
    # -- Number of replicas when installing Falco using a deployment. Change it if you really know what you are doing.
    # For more info check the section on Plugins in the README.md file.
    replicas: 1

# -- Network services configuration (scenario requirement)
# Add here your services to be deployed together with Falco.
services:
  # Example configuration for the "k8sauditlog" plugin
  # - name: k8saudit-webhook
  #   type: NodePort
  #   ports:
  #     - port: 9765 # See plugin open_params
  #       nodePort: 30007
  #       protocol: TCP

# File access configuration (scenario requirement)
mounts:
  # -- A list of volumes you want to add to the Falco pods.
  volumes: []
  # -- A list of volumes you want to add to the Falco pods.
  volumeMounts: []
  # -- By default, `/proc` from the host is only mounted into the Falco pod when `driver.enabled` is set to `true`. This flag allows it to override this behaviour for edge cases where `/proc` is needed but syscall data source is not enabled at the same time (e.g. for specific plugins).
  enforceProcMount: false

# Driver settings (scenario requirement)
driver:
  # -- Set it to false if you want to deploy Falco without the drivers.
  # Always set it to false when using Falco with plugins.
  enabled: true
  # -- Tell Falco which driver to use. Available options: module (kernel driver), ebpf (eBPF probe), modern-bpf (modern eBPF probe).
  kind: module
  # -- Configuration section for ebpf driver.
  ebpf:
    # -- Path where the eBPF probe is located. It comes handy when the probe have been installed in the nodes using tools other than the init
    # container deployed with the chart.
    path:
    # -- Needed to enable eBPF JIT at runtime for performance reasons.
    # Can be skipped if eBPF JIT is enabled from outside the container
    hostNetwork: false
    # -- Constrain Falco with capabilities instead of running a privileged container.
    # This option is only supported with the eBPF driver and a kernel >= 5.8.
    # Ensure the eBPF driver is enabled (i.e., setting the `driver.kind` option to `ebpf`).
    leastPrivileged: false
  # -- Configuration for the Falco init container.
  loader:
    # -- Enable/disable the init container.
    enabled: true
    initContainer:
      image:
        # -- The image pull policy.
        pullPolicy: IfNotPresent
        # -- The image registry to pull from.
        registry: docker.io
        # -- The image repository to pull from.
        repository: falcosecurity/falco-driver-loader
        #  -- Overrides the image tag whose default is the chart appVersion.
        tag: ""
      # -- Extra environment variables that will be pass onto Falco driver loader init container.
      env: []
      # -- Arguments to pass to the Falco driver loader init container.
      args: []
      # -- Resources requests and limits for the Falco driver loader init container.
      resources: {}
      # -- Security context for the Falco driver loader init container. Overrides the default security context. If driver.kind == "module" you must at least set `privileged: true`.
      securityContext: {}

# -- Gvisor configuration. Based on your system you need to set the appropriate values.
# Please, rembember to add pod tolerations and affinities in order to schedule the Falco pods in the gVisor enabled nodes.
gvisor:
  # -- Set it to true if you want to deploy Falco with gVisor support.
  enabled: false
  # -- Runsc container runtime configuration. Falco needs to interact with it in order to intercept the activity of the sandboxed pods.
  runsc:
    # -- Absolute path of the `runsc` binary in the k8s nodes.
    path: /home/containerd/usr/local/sbin
    # -- Absolute path of the root directory of the `runsc` container runtime. It is of vital importance for Falco since `runsc` stores there the information of the workloads handled by it;
    root: /run/containerd/runsc
    # -- Absolute path of the `runsc` configuration file, used by Falco to set its configuration and make aware `gVisor` of its presence.
    config: /run/containerd/runsc/config.toml

# Collectors for data enrichment (scenario requirement)
collectors:
  # -- Enable/disable all the metadata collectors.
  enabled: true

  docker:
    # -- Enable Docker support.
    enabled: true
    # -- The path of the Docker daemon socket.
    socket: /var/run/docker.sock

  containerd:
    # -- Enable ContainerD support.
    enabled: true
    # -- The path of the ContainerD socket.
    socket: /run/containerd/containerd.sock

  crio:
    # -- Enable CRI-O support.
    enabled: true
    # -- The path of the CRI-O socket.
    socket: /run/crio/crio.sock

  kubernetes:
    # -- Enable Kubernetes meta data collection via a connection to the Kubernetes API server.
    # When this option is disabled, Falco falls back to the container annotations to grap the meta data.
    # In such a case, only the ID, name, namespace, labels of the pod will be available.
    enabled: true
    # -- The apiAuth value is to provide the authentication method Falco should use to connect to the Kubernetes API.
    # The argument's documentation from Falco is provided here for reference:
    #
    #  <bt_file> | <cert_file>:<key_file[#password]>[:<ca_cert_file>], --k8s-api-cert <bt_file> | <cert_file>:<key_file[#password]>[:<ca_cert_file>]
    #     Use the provided files names to authenticate user and (optionally) verify the K8S API server identity.
    #     Each entry must specify full (absolute, or relative to the current directory) path to the respective file.
    #     Private key password is optional (needed only if key is password protected).
    #     CA certificate is optional. For all files, only PEM file format is supported.
    #     Specifying CA certificate only is obsoleted - when single entry is provided
    #     for this option, it will be interpreted as the name of a file containing bearer token.
    #     Note that the format of this command-line option prohibits use of files whose names contain
    #     ':' or '#' characters in the file name.
    # -- Provide the authentication method Falco should use to connect to the Kubernetes API.
    apiAuth: /var/run/secrets/kubernetes.io/serviceaccount/token
    ## -- Provide the URL Falco should use to connect to the Kubernetes API.
    apiUrl: "https://$(KUBERNETES_SERVICE_HOST)"
    # -- If true, only the current node (on which Falco is running) will be considered when requesting metadata of pods
    # to the API server. Disabling this option may have a performance penalty on large clusters.
    enableNodeFilter: true

###########################
# Extras and customization #
############################

extra:
  # -- Extra environment variables that will be pass onto Falco containers.
  env: []
  # -- Extra command-line arguments.
  args: []
  # -- Additional initContainers for Falco pods.
  initContainers: []

# -- certificates used by webserver and grpc server.
# paste certificate content or use helm with --set-file
# or use existing secret containing key, crt, ca as well as pem bundle
certs:
  # -- Existing secret containing the following key, crt and ca as well as the bundle pem.
  existingSecret: ""
  server:
    # -- Key used by gRPC and webserver.
    key: ""
    # -- Certificate used by gRPC and webserver.
    crt: ""
  ca:
    # -- CA certificate used by gRPC, webserver and AuditSink validation.
    crt: ""
# -- Third party rules enabled for Falco. More info on the dedicated section in README.md file.
customRules:
  {}
  # Although Falco comes with a nice default rule set for detecting weird
  # behavior in containers, our users are going to customize the run-time
  # security rule sets or policies for the specific container images and
  # applications they run. This feature can be handled in this section.
  #
  # Example:
  #
  # rules-traefik.yaml: |-
  #   [ rule body ]

########################
# Falco integrations   #
########################

# -- For configuration values, see https://github.com/falcosecurity/charts/blob/master/falcosidekick/values.yaml
falcosidekick:
  # -- Enable falcosidekick deployment.
  enabled: true
  # -- Enable usage of full FQDN of falcosidekick service (useful when a Proxy is used).
  fullfqdn: false
  # -- Listen port. Default value: 2801
  listenPort: ""

  replicaCount: 1
  image:
    # -- The image registry to pull from
    registry: docker.io
    # -- The image repository to pull from
    repository: falcosecurity/falcosidekick
    # -- The image tag to pull
    tag: 2.27.0

  webui:
    # -- enable Falcosidekick-UI
    enabled: true
    # -- number of running pods
    replicaCount: 1
    image:
      # -- The web UI image registry to pull from
      registry: docker.io
      # -- The web UI image repository to pull from
      repository: falcosecurity/falcosidekick-ui
      # -- The web UI image tag to pull
      tag: "v2.1.0"

    ingress:
      enabled: true
      annotations:
        kubernetes.io/ingress.class: ingress-internal
        cert-manager.io/cluster-issuer: vault-issuer
      hosts:
        - host: falco.dc
          paths:
            - path: /
      tls: 
      - secretName: falco-tls
        hosts:
          - falco.dc


####################
# falcoctl config  #
####################
falcoctl:
  image:
    # -- The image pull policy.
    pullPolicy: IfNotPresent
    # -- The image registry to pull from.
    registry: docker.io
    # -- The image repository to pull from.
    repository: falcosecurity/falcoctl
    #  -- Overrides the image tag whose default is the chart appVersion.
    tag: "0.4.0"
  artifact:
    # -- Runs "falcoctl artifact install" command as an init container. It is used to install artfacts before
    # Falco starts. It provides them to Falco by using an emptyDir volume.
    install:
      enabled: true
      # -- Extra environment variables that will be pass onto falcoctl-artifact-install init container.
      env: {}
      # -- Arguments to pass to the falcoctl-artifact-install init container.
      args: ["--verbose"]
      # -- Resources requests and limits for the falcoctl-artifact-install init container.
      resources: {}
      # -- Security context for the falcoctl init container.
      securityContext: {}
    # -- Runs "falcoctl artifact follow" command as a sidecar container. It is used to automatically check for
    # updates given a list of artifacts. If an update is found it downloads and installs it in a shared folder (emptyDir)
    # that is accessible by Falco. Rulesfiles are automatically detected and loaded by Falco once they are installed in the
    # correct folder by falcoctl. To prevent new versions of artifacts from breaking Falco, the tool checks if it is compatible
    # with the running version of Falco before installing it.
    follow:
      enabled: true
      # -- Extra environment variables that will be pass onto falcoctl-artifact-follow sidecar container.
      env: {}
      # -- Arguments to pass to the falcoctl-artifact-follow sidecar container.
      args: ["--verbose"]
      # -- Resources requests and limits for the falcoctl-artifact-follow sidecar container.
      resources: {}
      # -- Security context for the falcoctl-artifact-follow sidecar container.
      securityContext: {}
  # -- Configuration file of the falcoctl tool. It is saved in a configmap and mounted on the falcotl containers.
  config:
    # -- List of indexes that falcoctl downloads and uses to locate and download artiafcts. For more info see:
    # https://github.com/falcosecurity/falcoctl/blob/main/proposals/20220916-rules-and-plugin-distribution.md#index-file-overview
    indexes:
    - name: falcosecurity
      url: https://falcosecurity.github.io/falcoctl/index.yaml
    # -- Configuration used by the artifact commands.
    artifact:
      # -- List of artifact types that falcoctl will handle. If the configured refs resolves to an artifact whose type is not contained
      # in the list it will refuse to downloade and install that artifact.
      allowedTypes:
        - rulesfile
      install:
        # -- Do not resolve the depenencies for artifacts. By default is true, but for our use case we disable it.
        resolveDeps: false
        # -- List of artifacts to be installed by the falcoctl init container.
        refs: [falco-rules:0]
        # -- Directory where the rulesfiles are saved. The path is relative to the container, which in this case is an emptyDir
        # mounted also by the Falco pod.
        rulesfilesDir: /rulesfiles
        # -- Same as the one above but for the artifacts.
        pluginsDir: /plugins
      follow:
      # -- List of artifacts to be followed by the falcoctl sidecar container.
        refs: [falco-rules:0]
        # -- How often the tool checks for new versions of the followed artifacts.
        every: 6h
        # -- HTTP endpoint that serves the api versions of the Falco instance. It is used to check if the new versions are compatible
        # with the running Falco instance.
        falcoversions: http://localhost:8765/versions
        # -- See the fields of the artifact.install section.
        rulesfilesDir: /rulesfiles
        # -- See the fields of the artifact.install section.
        pluginsDir: /plugins

######################
# falco.yaml config  #
######################
falco:
# File(s) or Directories containing Falco rules, loaded at startup.
# The name "rules_file" is only for backwards compatibility.
# If the entry is a file, it will be read directly. If the entry is a directory,
# every file in that directory will be read, in alphabetical order.
#
# falco_rules.yaml ships with the falco package and is overridden with
# every new software version. falco_rules.local.yaml is only created
# if it doesn't exist. If you want to customize the set of rules, add
# your customizations to falco_rules.local.yaml.
#
# The files will be read in the order presented here, so make sure if
# you have overrides they appear in later files.
  # -- The location of the rules files that will be consumed by Falco.
  rules_file:
    - /etc/falco/falco_rules.yaml
    - /etc/falco/falco_rules.local.yaml
    - /etc/falco/rules.d

  #
  # Plugins that are available for use. These plugins are not loaded by
  # default, as they require explicit configuration to point to
  # cloudtrail log files.
  #

  # To learn more about the supported formats for
  # init_config/open_params for the cloudtrail plugin, see the README at
  # https://github.com/falcosecurity/plugins/blob/master/plugins/cloudtrail/README.md.
  # -- Plugins configuration. Add here all plugins and their configuration. Please
  # consult the plugins documentation for more info. Remember to add the plugins name in
  # "load_plugins: []" in order to load them in Falco.
  plugins:
    - name: k8saudit
      library_path: libk8saudit.so
      init_config:
      #   maxEventSize: 262144
      #   webhookMaxBatchSize: 12582912
      #   sslCertificate: /etc/falco/falco.pem
      open_params: "http://:9765/k8s-audit"
    - name: cloudtrail
      library_path: libcloudtrail.so
      # see docs for init_config and open_params:
      # https://github.com/falcosecurity/plugins/blob/master/plugins/cloudtrail/README.md
    - name: json
      library_path: libjson.so
      init_config: ""

  # Setting this list to empty ensures that the above plugins are *not*
  # loaded and enabled by default. If you want to use the above plugins,
  # set a meaningful init_config/open_params for the cloudtrail plugin
  # and then change this to:
  # load_plugins: [cloudtrail, json]
  # -- Add here the names of the plugins that you want to be loaded by Falco. Please make sure that
  # plugins have been configured under the "plugins" section before adding them here.
  # Please make sure to configure the falcoctl tool to download and install the very same plugins
  # you are loading here. You should add the references in the falcoctl.config.artifact.install.refs array
  # for each plugin you are loading.
  load_plugins: ["k8saudit"]

  # -- Watch config file and rules files for modification.
  # When a file is modified, Falco will propagate new config,
  # by reloading itself.
  watch_config_files: true

  # -- If true, the times displayed in log messages and output messages
  # will be in ISO 8601. By default, times are displayed in the local
  # time zone, as governed by /etc/localtime.
  time_format_iso_8601: false

  # -- If "true", print falco alert messages and rules file
  # loading/validation results as json, which allows for easier
  # consumption by downstream programs. Default is "false".
  json_output: false

  # -- When using json output, whether or not to include the "output" property
  # itself (e.g. "File below a known binary directory opened for writing
  # (user=root ....") in the json output.
  json_include_output_property: true

  # -- When using json output, whether or not to include the "tags" property
  # itself in the json output. If set to true, outputs caused by rules
  # with no tags will have a "tags" field set to an empty array. If set to
  # false, the "tags" field will not be included in the json output at all.
  json_include_tags_property: true

  # -- Send information logs to stderr. Note these are *not* security
  # notification logs! These are just Falco lifecycle (and possibly error) logs.
  log_stderr: true
  # -- Send information logs to syslog. Note these are *not* security
  # notification logs! These are just Falco lifecycle (and possibly error) logs.
  log_syslog: true

  # -- Minimum log level to include in logs. Note: these levels are
  # separate from the priority field of rules. This refers only to the
  # log level of falco's internal logging. Can be one of "emergency",
  # "alert", "critical", "error", "warning", "notice", "info", "debug".
  log_level: info

  # Falco is capable of managing the logs coming from libs. If enabled,
  # the libs logger send its log records the same outputs supported by
  # Falco (stderr and syslog). Disabled by default.
  libs_logger:
    # -- Enable the libs logger.
    enabled: false
    # -- Minimum log severity to include in the libs logs. Note: this value is
    # separate from the log level of the Falco logger and does not affect it.
    # Can be one of "fatal", "critical", "error", "warning", "notice",
    # "info", "debug", "trace".
    severity: debug

  # -- Minimum rule priority level to load and run. All rules having a
  # priority more severe than this level will be loaded/run.  Can be one
  # of "emergency", "alert", "critical", "error", "warning", "notice",
  # "informational", "debug".
  priority: debug

  # -- Whether or not output to any of the output channels below is
  # buffered. Defaults to false
  buffered_outputs: false

  # Falco uses a shared buffer between the kernel and userspace to pass
  # system call information. When Falco detects that this buffer is
  # full and system calls have been dropped, it can take one or more of
  # the following actions:
  #   - ignore: do nothing (default when list of actions is empty)
  #   - log: log a DEBUG message noting that the buffer was full
  #   - alert: emit a Falco alert noting that the buffer was full
  #   - exit: exit Falco with a non-zero rc
  #
  # Notice it is not possible to ignore and log/alert messages at the same time.
  #
  # The rate at which log/alert messages are emitted is governed by a
  # token bucket. The rate corresponds to one message every 30 seconds
  # with a burst of one message (by default).
  #
  # The messages are emitted when the percentage of dropped system calls
  # with respect the number of events in the last second
  # is greater than the given threshold (a double in the range [0, 1]).
  #
  # For debugging/testing it is possible to simulate the drops using
  # the `simulate_drops: true`. In this case the threshold does not apply.

  syscall_event_drops:
    # -- The messages are emitted when the percentage of dropped system calls
    # with respect the number of events in the last second
    # is greater than the given threshold (a double in the range [0, 1]).
    threshold: .1
    # -- Actions to be taken when system calls were dropped from the circular buffer.
    actions:
      - log
      - alert
    # -- Rate at which log/alert messages are emitted.
    rate: .03333
    # -- Max burst of messages emitted.
    max_burst: 1
    # -- Flag to enable drops for debug purposes.
    simulate_drops: false

  # Falco uses a shared buffer between the kernel and userspace to receive
  # the events (eg., system call information) in userspace.
  #
  # Anyways, the underlying libraries can also timeout for various reasons.
  # For example, there could have been issues while reading an event.
  # Or the particular event needs to be skipped.
  # Normally, it's very unlikely that Falco does not receive events consecutively.
  #
  # Falco is able to detect such uncommon situation.
  #
  # Here you can configure the maximum number of consecutive timeouts without an event
  # after which you want Falco to alert.
  # By default this value is set to 1000 consecutive timeouts without an event at all.
  # How this value maps to a time interval depends on the CPU frequency.

  syscall_event_timeouts:
    # -- Maximum number of consecutive timeouts without an event
    # after which you want Falco to alert.
    max_consecutives: 1000

  # --- [Description]
  #
  # This is an index that controls the dimension of the syscall buffers.
  # The syscall buffer is the shared space between Falco and its drivers where all the syscall events
  # are stored.
  # Falco uses a syscall buffer for every online CPU, and all these buffers share the same dimension.
  # So this parameter allows you to control the size of all the buffers!
  #
  # --- [Usage]
  #
  # You can choose between different indexes: from `1` to `10` (`0` is reserved for future uses).
  # Every index corresponds to a dimension in bytes:
  #
  # [(*), 1 MB, 2 MB, 4 MB, 8 MB, 16 MB, 32 MB, 64 MB, 128 MB, 256 MB, 512 MB]
  #   ^    ^     ^     ^     ^     ^      ^      ^       ^       ^       ^
  #   |    |     |     |     |     |      |      |       |       |       |
  #   0    1     2     3     4     5      6      7       8       9       10
  #
  # As you can see the `0` index is reserved, while the index `1` corresponds to
  # `1 MB` and so on.
  #
  # These dimensions in bytes derive from the fact that the buffer size must be:
  # (1) a power of 2.
  # (2) a multiple of your system_page_dimension.
  # (3) greater than `2 * (system_page_dimension)`.
  #
  # According to these constraints is possible that sometimes you cannot use all the indexes, let's consider an
  # example to better understand it:
  # If you have a `page_size` of 1 MB the first available buffer size is 4 MB because 2 MB is exactly
  # `2 * (system_page_size)` -> `2 * 1 MB`, but this is not enough we need more than `2 * (system_page_size)`!
  # So from this example is clear that if you have a page size of 1 MB the first index that you can use is `3`.
  #
  # Please note: this is a very extreme case just to let you understand the mechanism, usually the page size is something
  # like 4 KB so you have no problem at all and you can use all the indexes (from `1` to `10`).
  #
  # To check your system page size use the Falco `--page-size` command line option. The output on a system with a page
  # size of 4096 Bytes (4 KB) should be the following:
  #
  # "Your system page size is: 4096 bytes."
  #
  # --- [Suggestions]
  #
  # Before the introduction of this param the buffer size was fixed to 8 MB (so index `4`, as you can see
  # in the default value below).
  # You can increase the buffer size when you face syscall drops. A size of 16 MB (so index `5`) can reduce
  # syscall drops in production-heavy systems without noticeable impact. Very large buffers however could
  # slow down the entire machine.
  # On the other side you can try to reduce the buffer size to speed up the system, but this could
  # increase the number of syscall drops!
  # As a final remark consider that the buffer size is mapped twice in the process' virtual memory so a buffer of 8 MB
  # will result in a 16 MB area in the process virtual memory.
  # Please pay attention when you use this parameter and change it only if the default size doesn't fit your use case.
  # -- This is an index that controls the dimension of the syscall buffers.
  syscall_buf_size_preset: 4

  ############## [EXPERIMENTAL] Modern BPF probe specific ##############
  # Please note: these configs regard only the modern BPF probe. They
  # are experimental so they could change over releases.
  #
  # `cpus_for_each_syscall_buffer`
  #
  # --- [Description]
  #
  # This is an index that controls how many CPUs you want to assign to a single
  # syscall buffer (ring buffer). By default, every syscall buffer is associated to
  # 2 CPUs, so the mapping is 1:2. The modern BPF probe allows you to choose different
  # mappings, for example, 1:1 would mean a syscall buffer for each CPU.
  #
  # --- [Usage]
  #
  # You can choose between different indexes: from `0` to `MAX_NUMBER_ONLINE_CPUs`.
  # `0` is a special value and it means a single syscall buffer shared between all
  # your online CPUs. `0` has the same effect as `MAX_NUMBER_ONLINE_CPUs`, the rationale
  # is that `0` allows you to create a single buffer without knowing the number of online
  # CPUs on your system.
  # Let's consider an example to better understand it:
  #
  # Consider a system with 7 online CPUs:
  #
  #          CPUs     0  X  2  3  X  X  6  7  8  9   (X means offline CPU)
  #
  # - `1` means a syscall buffer for each CPU so 7 buffers
  #
  #          CPUs     0  X  2  3  X  X  6  7  8  9   (X means offline CPU)
  #                   |     |  |        |  |  |  |
  #       BUFFERs     0     1  2        3  4  5  6
  #
  # - `2` (Default value) means a syscall buffer for each CPU pair, so 4 buffers
  #
  #          CPUs     0  X  2  3  X  X  6  7  8  9   (X means offline CPU)
  #                   |     |  |        |  |  |  |
  #       BUFFERs     0     0  1        1  2  2  3
  #
  # Please note that we need 4 buffers, 3 buffers are associated with CPU pairs, the last
  # one is mapped with just 1 CPU since we have an odd number of CPUs.
  #
  # - `0` or `MAX_NUMBER_ONLINE_CPUs` mean a syscall buffer shared between all CPUs, so 1 buffer
  #
  #          CPUs     0  X  2  3  X  X  6  7  8  9   (X means offline CPU)
  #                   |     |  |        |  |  |  |
  #       BUFFERs     0     0  0        0  0  0  0
  #
  # Moreover you can combine this param with `syscall_buf_size_preset`
  # index, for example, you could create a huge single syscall buffer
  # shared between all your online CPUs of 512 MB (so `syscall_buf_size_preset=10`).
  #
  # --- [Suggestions]
  #
  # We chose index `2` (so one syscall buffer for each CPU pair) as default because the modern bpf probe
  # follows a different memory allocation strategy with respect to the other 2 drivers (bpf and kernel module).
  # By the way, you are free to find the preferred configuration for your system.
  # Considering a fixed `syscall_buf_size_preset` and so a fixed buffer dimension:
  # - a lower number of buffers can speed up your system (lower memory footprint)
  # - a too lower number of buffers could increase contention in the kernel causing an
  #   overall slowdown of the system.
  # If you don't have huge events throughputs and you are not experimenting with tons of drops
  # you can try to reduce the number of buffers to have a lower memory footprint

  modern_bpf:
    # -- [MODERN PROBE ONLY] This is an index that controls how many CPUs you want to assign to a single syscall buffer.
    cpus_for_each_syscall_buffer: 2
  ############## [EXPERIMENTAL] Modern BPF probe specific ##############

  # Falco continuously monitors outputs performance. When an output channel does not allow
  # to deliver an alert within a given deadline, an error is reported indicating
  # which output is blocking notifications.
  # The timeout error will be reported to the log according to the above log_* settings.
  # Note that the notification will not be discarded from the output queue; thus,
  # output channels may indefinitely remain blocked.
  # An output timeout error indeed indicate a misconfiguration issue or I/O problems
  # that cannot be recovered by Falco and should be fixed by the user.
  #
  # The "output_timeout" value specifies the duration in milliseconds to wait before
  # considering the deadline exceed.
  #
  # With a 2000ms default, the notification consumer can block the Falco output
  # for up to 2 seconds without reaching the timeout.
  # -- Duration in milliseconds to wait before considering the output timeout deadline exceed.
  output_timeout: 2000

  # A throttling mechanism implemented as a token bucket limits the
  # rate of Falco notifications. One rate limiter is assigned to each event
  # source, so that alerts coming from one can't influence the throttling
  # mechanism of the others. This is controlled by the following options:
  #  - rate: the number of tokens (i.e. right to send a notification)
  #    gained per second. When 0, the throttling mechanism is disabled.
  #    Defaults to 0.
  #  - max_burst: the maximum number of tokens outstanding. Defaults to 1000.
  #
  # With these defaults, the throttling mechanism is disabled.
  # For example, by setting rate to 1 Falco could send up to 1000 notifications
  # after an initial quiet period, and then up to 1 notification per second
  # afterward. It would gain the full burst back after 1000 seconds of
  # no activity.

  outputs:
    # -- Number of tokens gained per second.
    rate: 1
    # -- Maximum number of tokens outstanding.
    max_burst: 1000

  # Where security notifications should go.
  # Multiple outputs can be enabled.

  syslog_output:
    # -- Enable syslog output for security notifications.
    enabled: true

  # If keep_alive is set to true, the file will be opened once and
  # continuously written to, with each output message on its own
  # line. If keep_alive is set to false, the file will be re-opened
  # for each output message.
  #
  # Also, the file will be closed and reopened if falco is signaled with
  # SIGUSR1.

  file_output:
    # -- Enable file output for security notifications.
    enabled: false
    # -- Open file once or every time a new notification arrives.
    keep_alive: false
    # -- The filename for logging notifications.
    filename: ./events.txt

  stdout_output:
    # -- Enable stdout output for security notifications.
    enabled: true

  # Falco contains an embedded webserver that exposes a healthy endpoint that can be used to check if Falco is up and running.
  # By default the endpoint is /healthz
  #
  # The ssl_certificate is a combination SSL Certificate and corresponding
  # key contained in a single file. You can generate a key/cert as follows:
  #
  # $ openssl req -newkey rsa:2048 -nodes -keyout key.pem -x509 -days 365 -out certificate.pem
  # $ cat certificate.pem key.pem > falco.pem
  # $ sudo cp falco.pem /etc/falco/falco.pem
  webserver:
    # -- Enable Falco embedded webserver.
    enabled: true
    # -- Number of threads depending on the number of online cores.
    threadiness: 0
    # -- Port where Falco embedded webserver listen to connections.
    listen_port: 8765
    # -- Endpoint where Falco exposes the health status.
    k8s_healthz_endpoint: /healthz
    # -- Enable SSL on Falco embedded webserver.
    ssl_enabled: false
    # -- Certificate bundle path for the Falco embedded webserver.
    ssl_certificate: /etc/falco/falco.pem

  # Possible additional things you might want to do with program output:
  #   - send to a slack webhook:
  #         program: "jq '{text: .output}' | curl -d @- -X POST https://hooks.slack.com/services/XXX"
  #   - logging (alternate method than syslog):
  #         program: logger -t falco-test
  #   - send over a network connection:
  #         program: nc host.example.com 80

  # If keep_alive is set to true, the program will be started once and
  # continuously written to, with each output message on its own
  # line. If keep_alive is set to false, the program will be re-spawned
  # for each output message.
  #
  # Also, the program will be closed and reopened if falco is signaled with
  # SIGUSR1.
  program_output:
    # -- Enable program output for security notifications.
    enabled: false
    # -- Start the program once or re-spawn when a notification arrives.
    keep_alive: false
    # -- Command to execute for program output.
    program: "jq '{text: .output}' | curl -d @- -X POST https://hooks.slack.com/services/XXX"

  http_output:
    # -- Enable http output for security notifications.
    enabled: false
    # -- When set, this will override an auto-generated URL which matches the falcosidekick Service.
    # -- When including Falco inside a parent helm chart, you must set this since the auto-generated URL won't match (#280).
    url: ""
    user_agent: "falcosecurity/falco"

  # Falco supports running a gRPC server with two main binding types
  # 1. Over the network with mandatory mutual TLS authentication (mTLS)
  # 2. Over a local unix socket with no authentication
  # By default, the gRPC server is disabled, with no enabled services (see grpc_output)
  # please comment/uncomment and change accordingly the options below to configure it.
  # Important note: if Falco has any troubles creating the gRPC server
  # this information will be logged, however the main Falco daemon will not be stopped.
  # gRPC server over network with (mandatory) mutual TLS configuration.
  # This gRPC server is secure by default so you need to generate certificates and update their paths here.
  # By default the gRPC server is off.
  # You can configure the address to bind and expose it.
  # By modifying the threadiness configuration you can fine-tune the number of threads (and context) it will use.
  # grpc:
  #   enabled: true
  #   bind_address: "0.0.0.0:5060"
  #   # when threadiness is 0, Falco sets it by automatically figuring out the number of online cores
  #   threadiness: 0
  #   private_key: "/etc/falco/certs/server.key"
  #   cert_chain: "/etc/falco/certs/server.crt"
  #   root_certs: "/etc/falco/certs/ca.crt"

  # -- gRPC server using an unix socket
  grpc:
    # -- Enable the Falco gRPC server.
    enabled: false
    # -- Bind address for the grpc server.
    bind_address: "unix:///run/falco/falco.sock"
    # -- Number of threads (and context) the gRPC server will use, 0 by default, which means "auto".
    threadiness: 0

  # gRPC output service.
  # By default it is off.
  # By enabling this all the output events will be kept in memory until you read them with a gRPC client.
  # Make sure to have a consumer for them or leave this disabled.
  grpc_output:
    # -- Enable the gRPC output and events will be kept in memory until you read them with a gRPC client.
    enabled: false

  # Container orchestrator metadata fetching params
  metadata_download:
    # -- Max allowed response size (in Mb) when fetching metadata from Kubernetes.
    max_mb: 100
    # -- Sleep time (in μs) for each download chunck when fetching metadata from Kubernetes.
    chunk_wait_us: 1000
    # -- Watch frequency (in seconds) when fetching metadata from Kubernetes.
    watch_freq_sec: 1