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Profiling



Profile 支持采集使用 Java, Python 和 Go 等不同语言环境下应用程序运行过程中的动态性能数据,帮助用户查看 CPU、内存、IO 的性能问题。

配置

目前 DataKit 采集 profiling 数据有两种方式:

  • 推送方式:需要开启 DataKit Profile 服务,由客户端向 DataKit 主动推送数据
  • 拉取方式:目前仅 Go 支持,需要手动配置相关信息

采集器配置

进入 DataKit 安装目录下的 conf.d/profile 目录,复制 profile.conf.sample 并命名为 profile.conf 。配置文件说明如下:

[[inputs.profile]]
  ## profile Agent endpoints register by version respectively.
  ## Endpoints can be skipped listen by remove them from the list.
  ## Default value set as below. DO NOT MODIFY THESE ENDPOINTS if not necessary.
  endpoints = ["/profiling/v1/input"]

  ## set true to enable election, pull mode only
  election = true

  ## the max allowed size of http request body (of MB), 32MB by default.
  body_size_limit_mb = 32 # MB

  ## io_config is used to control profiling uploading behavior.
  ## cache_path set the disk directory where temporarily cache profiling data.
  ## cache_capacity_mb specify the max storage space (in MiB) that profiling cache can use.
  ## clear_cache_on_start set whether we should clear all previous profiling cache on restarting Datakit.
  ## upload_workers set the count of profiling uploading workers.
  ## send_timeout specify the http timeout when uploading profiling data to dataway.
  ## send_retry_count set the max retry count when sending every profiling request.
  # [inputs.profile.io_config]
  #   cache_path = "/usr/local/datakit/cache/profile_inputs"  # C:\Program Files\datakit\cache\profile_inputs by default on Windows
  #   cache_capacity_mb = 10240  # 10240MB
  #   clear_cache_on_start = false
  #   upload_workers = 8
  #   send_timeout = "75s"
  #   send_retry_count = 4

  ## set custom tags for profiling data
  # [inputs.profile.tags]
  #   some_tag = "some_value"
  #   more_tag = "some_other_value"

## go pprof config
## collect profiling data in pull mode
#[[inputs.profile.go]]
  ## pprof url
  #url = "http://localhost:6060"

  ## pull interval, should be greater or equal than 10s
  #interval = "10s"

  ## service name
  #service = "go-demo"

  ## app env
  #env = "dev"

  ## app version
  #version = "0.0.0"

  ## types to pull
  ## values: cpu, goroutine, heap, mutex, block
  #enabled_types = ["cpu","goroutine","heap","mutex","block"]

#[inputs.profile.go.tags]
  # tag1 = "val1"

## pyroscope config
#[[inputs.profile.pyroscope]]
  ## listen url
  #url = "0.0.0.0:4040"

  ## service name
  #service = "pyroscope-demo"

  ## app env
  #env = "dev"

  ## app version
  #version = "0.0.0"

#[inputs.profile.pyroscope.tags]
  #tag1 = "val1"

配置好后,重启 DataKit ,开启 Profile 服务。

目前可以通过 ConfigMap 方式注入采集器配置来开启采集器。

客户端应用配置

客户的应用根据编程语言需要分别进行配置,目前支持的语言如下:

Profiling 字段

以下所有数据采集,默认会追加名为 host 的全局 tag(tag 值为 DataKit 所在主机名),也可以在配置中通过 [inputs.profile.tags] 指定其它标签:

 [inputs.profile.tags]
  # some_tag = "some_value"
  # more_tag = "some_other_value"
  # ...

profile

  • 标签
Tag Description
container_host Container hostname. Available in OpenTelemetry. Optional.
endpoint Endpoint info. Available in SkyWalking, Zipkin. Optional.
env Application environment info. Available in Jaeger. Optional.
host Hostname.
http_method HTTP request method name. Available in DDTrace, OpenTelemetry. Optional.
http_route HTTP route. Optional.
http_status_code HTTP response code. Available in DDTrace, OpenTelemetry. Optional.
http_url HTTP URL. Optional.
operation Span name
project Project name. Available in Jaeger. Optional.
service Service name. Optional.
source_type Tracing source type
span_type Span type
status Span status
version Application version info. Available in Jaeger. Optional.
  • 指标列表
Metric Description Type Unit
duration Duration of span int μs
message Origin content of span string -
parent_id Parent span ID of current span string -
resource Resource name produce current span string -
span_id Span id string -
start start time of span. int usec
trace_id Trace id string -

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