From 715222ac2d85405a597138377ce2a6f91b3d00ea Mon Sep 17 00:00:00 2001 From: timcallaghan <69230637+timcallaghan@users.noreply.github.com> Date: Tue, 31 Oct 2023 14:48:04 +1000 Subject: [PATCH] feat!: Update readme and provide installation and usage instructions --- README.md | 87 ++++++++++++++++++++++++++++++++++++++++---- docs/custom-sql.png | Bin 0 -> 240652 bytes docs/dotell.png | Bin 0 -> 236089 bytes docs/sql-queries.md | 22 +++++++++++ 4 files changed, 101 insertions(+), 8 deletions(-) create mode 100644 docs/custom-sql.png create mode 100644 docs/dotell.png diff --git a/README.md b/README.md index 9e3865a..38b6e92 100644 --- a/README.md +++ b/README.md @@ -9,22 +9,93 @@ Many OpenTelemetry back-ends either require you to use a hosted service (e.g. Ho DOTelL aims to do the following things: * Be as resource-light as possible -* Provide OpenTelemetry ingestion endpoints for all signal types e.g. traces/metrics/logs +* Provide OpenTelemetry OTLP gRPC ingestion endpoints for all signal types e.g. traces/metrics/logs * Provide a simple UI over the data so that developers can easily explore the telemetry being emitted by services they are writing locally DOTelL is _not_ meant to replace a production-grade OTel backend. It is only meant to be used during local development to provide a simple view over locally emitted telemetry. There is no support for authentication and authorisation which means it should _never_ be deployed to a publicly facing environment. -Because it only implements [OTLP](https://opentelemetry.io/docs/specs/otel/protocol/) ingestion formats it is trivial to switch your application to a different telemetry backend in deployed environments. It works well either as a direct export target from your applications, or as a target from a locally running instance of the OpenTelemetry Collector. +Because it only implements [OTLP](https://opentelemetry.io/docs/specs/otel/protocol/) gRPC ingestion formats it is trivial to switch your application to a different telemetry backend in deployed environments. It works well either as a direct export target from your applications, or as a target from a locally running instance of the OpenTelemetry Collector. ## Installation -DOTelL is designed to run as a single Docker container. +DOTelL is designed to run as a single Docker container with multiple services exposed to the host computer. -TODO: Update with the docker run command once we have ghcr images via GitHub workflow -TODO: Different run options depending on what the dev wants to expose locally. +### Obtaining DOTelL -Once installed you can configure your local services to send OTLP telemetry via gRPC to the locally exposed port `4317`. +To ensure that you have the latest version of DOTelL, run the following command to pull the Docker image -The PostgreSQL database is (optionally) exposed on the default port of 5432 with user `postgres` and password `password`. The database name is `dotell`. +```bash +docker pull ghcr.io/timcallaghan/dotell:latest +``` -The bundled pgweb admin UI is exposed locally on port `5042` and can be accessed in your browser of choice on [http://localhost:5042](http://localhost:5042). +### Running DOTelL + +The DOTelL container houses the following services: + +| Service Name | Port | Local access | Purpose | +| ------------------------------------------ | ----- | --------------------- | ---------------------------------- | +| DOTelL gRPC API | 4317 | http://localhost:4317 | OTLP signal ingestion endpoint | +| [pgweb](https://github.com/sosedoff/pgweb) | 5042 | http://localhost:5042 | Simple web-based database explorer | +| [PostgreSQL](https://www.postgresql.org/) | 5432 | localhost:5432 | Storage of telemetry signal data | + +The command you choose to run DOTelL depends on which of these services you want to expose on your local computer. + +#### Default setup + +Expose gRPC API on 4317 and pgweb on 5042 + +```bash +docker run -p 4317:4317 -p 5042:5042 --name dotell -d ghcr.io/timcallaghan/dotell:latest +``` + +#### Expose the database + +Default setup, and also expose the PostgreSQL database on 5432 + +```bash +docker run -p 4317:4317 -p 5042:5042 -p 5432:5432 --name dotell -d ghcr.io/timcallaghan/dotell:latest +``` + +The PostgreSQL database is exposed on the default port of 5432 with: + +* user: `postgres` +* password: `password` +* database: `dotell` + +#### Different local ports + +Expose gRPC API on XXXX, pgweb on YYYY, and PostgreSQL database on ZZZZ + +```bash +docker run -p XXXX:4317 -p YYYY:5042 -p ZZZZ:5432 --name dotell -d ghcr.io/timcallaghan/dotell:latest +``` + +## Usage + +### Sending OTel telemetry to DOTelL + +Once installed you can configure your local services to send telemetry via gRPC OTLP to the locally exposed port. + +By default, you should configure your local services to export gRPC OTLP telemetry to http://localhost:4317. + +If you have chosen a different port for the DOTelL API, ensure you use that instead of the default value of `4317`. + +### Exploring telemetry data + +#### Basic + +The included pgweb instance provides a simple, web-based UI over the telemetry data. + +1. Open your browser at [http://localhost:5042](http://localhost:5042) +2. Under the `Tables` menu on the left there are options for `Logs`, `Metrics`, and `Traces` +3. Selecting one of these options displays the raw telemetry + +![pgweb](/docs/dotell.png) + +#### Advanced + +pgweb allows for executing arbitrary SQL against the PostgreSQL database via the `Query` tab. Some of the columns are stored as [`jsonb` data type](https://www.postgresql.org/docs/current/datatype-json.html) so a working understanding of [PostgreSQL JSON functions and operators](https://www.postgresql.org/docs/16/functions-json.html) is helpful when exploring the telemetry data. + +Some [example SQL queries](docs/sql-queries.md) have been provided to get you started. 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+1,27 @@ # Sample SQL Queries +## Distinct resources + +Find the distinct set of unique resources across all traces. + +```sql +SELECT DISTINCT "Resource"->'service.name' AS "ServiceName" FROM "Traces" +``` + +## Root spans + +Find the root span (trace entry point) for each unique traceId. + +```sql +SELECT + "Resource"->'service.name' AS "ServiceName", + "TraceId", + "SpanId", + "Name" +FROM "Traces" +WHERE "ParentSpanId" IS NULL +``` + ## Ordered spans within a trace Required:
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