Exporters
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Envie dados de telemetria para o OpenTelemetry Collector para garantir que estes dados sejam exportados corretamente. A utilização de um Collector em ambientes de produção é a melhor prática. Para visualizar os dados de telemetria que foram gerados, exporte-os para um backend como Jaeger, Zipkin, Prometheus, ou um backend específico de um fornecedor.
Exportadores disponíveis
O registro oferece uma lista de exportadores para Erlang/Elixir.
Entre os exportadores, os exportadores do OpenTelemetry Protocol (OTLP) são projetados tendo em mente o modelo de dados do OpenTelemetry, emitindo dados OTel sem qualquer perda de informação. Além disso, muitas ferramentas que operam com dados de telemetria suportam o formato OTLP (como Prometheus, Jaeger e a maioria dos fornecedores), proporcionando um alto grau de flexibilidade quando necessário. Para saber mais sobre o OTLP, consulte a Especificação do OTLP.
Esta página reúne informações sobre os principais exportadores do OpenTelemetry Erlang/Elixir e como configurá-los.
Exporting to the OpenTelemetry Collector
The Collector provides a vendor agnostic way to receive, process and export telemetry data. The package opentelemetry_exporter provides support for both exporting over both HTTP (the default) and gRPC to the collector, which can then export Spans to a self-hosted service like Zipkin or Jaeger, as well as commercial services. For a full list of available exporters, see the registry.
Setting up the Collector
For testing purposes, you can start with the following Collector configuration at the root of your project:
# otel-collector-config.yaml
# OpenTelemetry Collector config that receives OTLP and exports to Jager
receivers:
otlp:
protocols:
grpc:
endpoint: '0.0.0.0:4317'
http:
endpoint: '0.0.0.0:4318'
processors:
batch:
send_batch_size: 1024
timeout: 5s
exporters:
debug:
otlp/jaeger:
endpoint: jaeger-all-in-one:4317
tls:
insecure: true
service:
pipelines:
traces:
receivers: [otlp]
processors: [batch]
exporters: [debug, otlp/jaeger]
For a more detailed example, you can view the
config
that opentelemetry-erlang
uses for testing.
For the purposes of this tutorial, we’ll start the Collector as a docker image along side our app. For this tutorial, we’ll continue along with the Dice Roll example from the Getting Started guide
Add this docker-compose file to the root of your app:
# docker-compose.yml
version: '3'
services:
otel:
image: otel/opentelemetry-collector-contrib:0.98.0
command: ['--config=/conf/otel-collector-config.yaml']
ports:
- 4317:4317
- 4318:4318
volumes:
- ./otel-collector-config.yaml:/conf/otel-collector-config.yaml
links:
- jaeger-all-in-one
jaeger-all-in-one:
image: jaegertracing/all-in-one:latest
ports:
- '16686:16686'
This configuration is used in docker-compose.yml to start the Collector with receivers for both HTTP and gRPC that then export to Zipkin also run by docker-compose.
To export to the running Collector the opentelemetry_exporter
package must be
added to the project’s dependencies:
{deps, [{opentelemetry_api, "~> 1.2"},
{opentelemetry, "~> 1.3"},
{opentelemetry_exporter, "~> 1.6"}]}.
def deps do
[
{:opentelemetry_api, "~> 1.2"},
{:opentelemetry, "~> 1.3"},
{:opentelemetry_exporter, "~> 1.6"}
]
end
It should then be added to the configuration of the Release before the SDK Application to ensure the exporter’s dependencies are started before the SDK attempts to initialize and use the exporter.
Example of Release configuration in rebar.config
and for
mix’s Release task:
%% rebar.config
{relx, [{release, {my_instrumented_release, "0.1.0"},
[opentelemetry_exporter,
{opentelemetry, temporary},
my_instrumented_app]},
...]}.
# mix.exs
def project do
[
releases: [
my_instrumented_release: [
applications: [opentelemetry_exporter: :permanent, opentelemetry: :temporary]
],
...
]
]
end
Finally, the runtime configuration of the opentelemetry
and
opentelemetry_exporter
Applications are set to export to the Collector. The
configurations below show the defaults that are used if none are set, which are
the HTTP protocol with endpoint of localhost
on port 4318
. Note:
- If using
grpc
for theotlp_protocol
the endpoint should be changed tohttp://localhost:4317
. - If you’re using the docker compose file from above, you should replace
localhost
withotel
.
%% config/sys.config.src
[
{opentelemetry,
[{span_processor, batch},
{traces_exporter, otlp}]},
{opentelemetry_exporter,
[{otlp_protocol, http_protobuf},
{otlp_endpoint, "http://localhost:4318"}]}]}
].
# config/config.exs
config :opentelemetry,
resource: %{service: %{name: "roll_dice_app"}},
span_processor: :batch,
traces_exporter: :otlp
config :opentelemetry_exporter,
otlp_protocol: :http_protobuf,
otlp_endpoint: "http://localhost:4318"
# otlp_endpoint: "http://otel:4318" if using docker compose file
You can see your traces by running docker compose up
in one terminal, then
mix phx.server
in another. After sending some requests through the app, go to
http://localhost:16686
and select roll_dice_app
from the Service drop down,
then click “Find Traces”.
Gotchas
Some environments do not allow containers to execute as root users. If you work
in an environment like this, you can add user: "1001"
as a top-level key/value
to the otel
service in the docker-compose.yml
file used in this tutorial.
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