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[CI] Terminology fixes from patched terminology textlint rule (open-telemetry#3496)
Co-authored-by: Phillip Carter <[email protected]>
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content/en/blog/2022/collector-builder-sample/index.md

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- **Keep your Collector deployment up-to-date.** By incorporating custom
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Collectors into your CI/CD pipeline, you can automate builds to ensure your
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Collector stays current with the latest features and fixes. In this repo,
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we'll show one way to do that with Cloud Build.
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Collector stays current with the latest features and fixes. In this
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repository, we'll show one way to do that with Cloud Build.
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Each of these represents part of the “Getting Started” process with
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OpenTelemetry Collector, so by identifying and consolidating these steps we hope

content/en/blog/2022/demo-announcement/index.md

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- Language examples for
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[C++](https://github.com/open-telemetry/opentelemetry-demo/issues/36),
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Erlang/elixir,
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Erlang/Elixir,
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[PHP](https://github.com/open-telemetry/opentelemetry-demo/issues/34), and
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[Rust](https://github.com/open-telemetry/opentelemetry-demo/issues/35)
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- Extend support to

content/en/blog/2022/frontend-overhaul/index.md

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a global gRPC definition. Persistent information is saved into a PostgreSQL
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database and there are outbound services that connect with third-party services
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to trigger events (such as confirmation emails). All of the microservices,
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including the front-end, are connected to the same OpenTelemetry collector
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including the front-end, are connected to the same OpenTelemetry Collector
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instance, which uses Jaeger as one of the data stores for the tracing data.
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![OpenTelemetry Demo System Diagram](diagram.png)

content/en/blog/2022/k8s-otel-expose/index.md

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node exists. The `basicauth` extension contains `username` and `password` to
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identify itself to the exposed remote collector. More container and node
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specific information are provided by the `k8sattributes` processor via the
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kubernetes
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Kubernetes
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[Kubernetes downward-api](https://kubernetes.io/docs/concepts/workloads/pods/downward-api/).
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What is not covered is the cluster availability zone and the cluster name. To be
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able to identify the reported spans later, they are inserted manually with the

content/en/blog/2023/end-user-discussions-02.md

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- Reach out to current OpenTelemetry maintainers and share the challenges
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- Create a list of maintainers from APAC region to whom people can reach to
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- Local in-person meetups for OpenTelemetry users
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- A good place to start would be `good first issues` in any of the OTel repos,
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and ask for help in GitHub issues
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- A good place to start would be `good first issues` in any of the OTel
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repositories, and ask for help in GitHub issues
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- Join
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[OTel slack community](https://communityinviter.com/apps/cloud-native/cncf)
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and ping in relevant channels

content/en/blog/2023/otel-in-focus-06.md

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- Enhancements including improvements in Micrometer bridge, Ktor
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instrumentations, AWS SDK support, OkHttp 3, Jetty 11, Spring Boot, AWS Lambda
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tracing, and type matching.
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- Bugfixes related to Logback MDC instrumentation, Kafka metrics reporter, jetty
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- Bugfixes related to Logback MDC instrumentation, Kafka metrics reporter, Jetty
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context leak, filtering scalar Mono/Flux instances, and others.
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#### [JavaScript](/docs/instrumentation/js/)

content/en/blog/2023/php-auto-instrumentation/index.md

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We have all necessary components in place:
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- APIs and SDK as a foundation and implementation of opentelemetry
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- APIs and SDK as a foundation and implementation of OpenTelemetry
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specification.
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- C extension as a foundation for auto-instrumentation.
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- Auto Instrumentation support (WIP) for most important and popular libraries

content/en/blog/2023/testing-otel-demo/index.md

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To perform a trace-based test, we execute an operation against the system, which
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generates a trace, following these steps:
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1. Trigger an operation against the system and collect its output and trace id
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1. Trigger an operation against the system and collect its output and trace ID
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generated from the operation.
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2. Wait for the system to report the entire trace to the telemetry data store;
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3. Collect the trace data generated by the system during the operation. This

content/en/docs/_index.md

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aliases: [/docs/workshop/*]
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---
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OpenTelemetry, also known as OTel for short, is a vendor-neutral open-source
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OpenTelemetry, also known as OTel for short, is a vendor-neutral open source
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[Observability](concepts/observability-primer/#what-is-observability) framework
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for instrumenting, generating, collecting, and exporting telemetry data such as
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[traces](/docs/concepts/signals/traces/),

content/en/docs/collector/management.md

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cSpell:ignore: AFVGQT backpressure distro GRRKNBJE hostmetrics loglevel
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---
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This document describes how you can manage your OpenTelemetry collector
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This document describes how you can manage your OpenTelemetry Collector
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deployment at scale.
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To get the most out of this page you should know how to install and configure
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1. Querying the agent information and configuration. The agent information can
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include its version, operating system related information, or capabilities.
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The configuration of the agent refers to its telemetry collection setup, for
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example, the OpenTelemetry collector
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example, the OpenTelemetry Collector
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[configuration][otel-collector-configuration].
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1. Upgrading/downgrading agents and management of agent-specific packages,
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including the base agent functionality and plugins.

content/en/docs/collector/trace-receiver.md

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You can check the definition of the `pcommon.Map` type and the related helper
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functions to create attribute values using the supported formats in the
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[/pdata/pcommon/common.go](https://github.com/open-telemetry/opentelemetry-collector/blob/{{%
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param collectorVersion %}}/pdata/pcommon/common.go) file within the Otel
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param collectorVersion %}}/pdata/pcommon/common.go) file within the OTel
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Collector's GitHub project.
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Key/value pairs provide a lot of flexibility to help model your `Resource` data,

content/en/docs/demo/services/frontend.md

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## Server Instrumentation
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It is recommended to use a Node required module when starting your NodeJS
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It is recommended to use a Node required module when starting your Node.js
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application to initialize the SDK and auto-instrumentation. When initializing
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the OpenTelemetry Node.js SDK, you optionally specify which auto-instrumentation
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libraries to leverage, or make use of the `getNodeAutoInstrumentations()`

content/en/docs/instrumentation/erlang/getting-started.md

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### Prerequisites
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Ensure that you have Erlang, Elixir, PostgreSQL (or the database of your
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choice), and Phoenix installed locally. The phoenix
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choice), and Phoenix installed locally. The Phoenix
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[installation guide](https://hexdocs.pm/phoenix/installation.html) will help you
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content/en/docs/instrumentation/php/exporters.md

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Update the example to use the Zipkin exporter and to send data to your Zipkin
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```php

content/en/docs/instrumentation/python/_index.md

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Zipkin, Prometheus, OTLP and OpenCensus Exporters can be found in the
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[exporter](https://github.com/open-telemetry/opentelemetry-python/blob/main/exporter/)
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directory of the repository. Instrumentations and additional exporters can be
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found in the contrib repo
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found in the contrib repository
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[instrumentation](https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation)
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and
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[exporter](https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/exporter)

content/en/docs/kubernetes/operator/automatic.md

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> `OTEL_EXPORTER_OTLP_TRACES_PROTOCOL` and `OTEL_EXPORTER_OTLP_METRICS_PROTOCOL`
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> to `http/protobuf` for Python services. If you use an older version of the
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> Operator you **MUST** set these env variables to `http/protobuf`, or python
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> Operator you **MUST** set these env variables to `http/protobuf`, or Python
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> auto-instrumentation will not work.
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**Auto-instrumenting Python logs**

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