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Documentation Grafana Agent Flow mode Reference Components phlare.scrape

phlare.scrape

BETA: This is a beta component. Beta components are subject to breaking changes, and may be replaced with equivalent functionality that cover the same use case.

phlare.scrape configures a pprof scraping job for a given set of targets. The scraped performance profiles are forwarded to the list of receivers passed in forward_to.

Multiple phlare.scrape components can be specified by giving them different labels.

Usage

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phlare.scrape "LABEL" {
  targets    = TARGET_LIST
  forward_to = RECEIVER_LIST
}

Arguments

The component configures and starts a new scrape job to scrape all of the input targets. Multiple scrape jobs can be spawned for a single input target when scraping multiple profile types.

The list of arguments that can be used to configure the block is presented below.

The scrape job name defaults to the component’s unique identifier.

Any omitted fields take on their default values. If conflicting attributes are being passed (e.g., defining both a BearerToken and BearerTokenFile or configuring both Basic Authorization and OAuth2 at the same time), the component reports an error.

The following arguments are supported:

At most one of the following can be provided:

• bearer_token argument.
• bearer_token_file argument.
• basic_auth block.
• authorization block.
• oauth2 block.

Blocks

The following blocks are supported inside the definition of phlare.scrape:

The > symbol indicates deeper levels of nesting. For example, oauth2 > tls_config refers to a tls_config block defined inside an oauth2 block.

basic_auth block

password and password_file are mutually exclusive and only one can be provided inside of a basic_auth block.

authorization block

credential and credentials_file are mutually exclusive and only one can be provided inside of an authorization block.

oauth2 block

client_secret and client_secret_file are mutually exclusive and only one can be provided inside of an oauth2 block.

The oauth2 block may also contain its own separate tls_config sub-block.

tls_config block

The following pairs of arguments are mutually exclusive and cannot both be set simultaneously:

• ca_pem and ca_file
• cert_pem and cert_file
• key_pem and key_file

When configuring client authentication, both the client certificate (using cert_pem or cert_file) and the client key (using key_pem or key_file) must be provided.

When min_version is not provided, the minimum acceptable TLS version is inherited from Go’s default minimum version, TLS 1.2. If min_version is provided, it must be set to one of the following strings:

• "TLS10" (TLS 1.0)
• "TLS11" (TLS 1.1)
• "TLS12" (TLS 1.2)
• "TLS13" (TLS 1.3)

profiling_config block

The profiling_config block configures the profiling settings when scraping targets.

The block contains the following attributes:

profile.memory block

The profile.memory block collects profiles on memory consumption.

It accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

profile.block block

The profile.block block collects profiles on process blocking.

It accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

profile.goroutine block

The profile.goroutine block collects profiles on the number of goroutines.

It accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

profile.mutex block

The profile.mutex block collects profiles on mutexes.

It accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

profile.process_cpu block

The profile.process_cpu block collects profiles on CPU consumption for the process.

It accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

profile.fgprof block

The profile.fgprof block collects profiles from an fgprof endpoint.

It accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

profile.custom block

The profile.custom block allows for collecting profiles from custom endpoints. Blocks must be specified with a label:

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profile.custom "PROFILE_TYPE" {
  enabled = true
  path    = "PROFILE_PATH"
}

Multiple profile.custom blocks can be specified. Labels assigned to profile.custom blocks must be unique across the component.

The profile.custom block accepts the following arguments:

When the delta argument is true, a seconds query parameter is automatically added to requests.

Exported fields

phlare.scrape does not export any fields that can be referenced by other components.

Component health

phlare.scrape is only reported as unhealthy if given an invalid configuration.

Debug information

phlare.scrape reports the status of the last scrape for each configured scrape job on the component’s debug endpoint.

Debug metrics

• phlare_fanout_latency (histogram): Write latency for sending to direct and indirect components.

Scraping behavior

The phlare.scrape component borrows the scraping behavior of Prometheus. Prometheus, and by extension, this component, uses a pull model for scraping profiles from a given set of targets. Each scrape target is defined as a set of key-value pairs called labels.

The set of targets can either be static, or dynamically provided periodically by a service discovery component such as discovery.kubernetes. The special label __address__ must always be present and corresponds to the <host>:<port> that is used for the scrape request.

By default, the scrape job tries to scrape all available targets’ /debug/pprof endpoints using HTTP, with a scrape interval of 15 seconds and scrape timeout of 15 seconds. The profile paths, protocol scheme, scrape interval and timeout, query parameters, as well as any other settings can be configured using the component’s arguments.

The scrape job expects profiles exposed by the endpoint to follow the pprof protobuf format. All profiles are then propagated to each receiver listed in the component’s forward_to argument.

Labels coming from targets, that start with a double underscore __ are treated as internal, and are removed prior to scraping.

The phlare.scrape component regards a scrape as successful if it responded with an HTTP 200 OK status code and returned a body of valid pprof profile.

If the scrape request fails, the component’s debug UI section contains more detailed information about the failure, the last successful scrape, as well as the labels last used for scraping.

The following labels are automatically injected to the scraped profiles and can help pin down a scrape target.

Example

The following example sets up the scrape job with certain attributes (profiling config, targets) and lets it scrape two local applications (the Agent itself and Phlare). The exposed profiles are sent over to the provided list of receivers, as defined by other components.

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phlare.scrape "local" {
  targets    = [
    {"__address__" = "localhost:4100", "app"="phlare"},
    {"__address__" = "localhost:12345", "app"="agent"},
  ]
  forward_to = [phlare.write.local.receiver]
  profiling_config {
    profile.fgprof {
      enabled = true
    }
    profile.block {
      enabled = false
    }
    profile.mutex {
      enabled = false
    }
  }
}

Here are the endpoints that are being scraped every 15 seconds:

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http://localhost:4100/debug/pprof/allocs
http://localhost:4100/debug/pprof/goroutine
http://localhost:4100/debug/pprof/profile?seconds=14
http://localhost:4100/debug/fgprof?seconds=14
http://localhost:12345/debug/pprof/allocs
http://localhost:12345/debug/pprof/goroutine
http://localhost:12345/debug/pprof/profile?seconds=14
http://localhost:12345/debug/fgprof?seconds=14