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Use Compose Watch to automatically sync source file changes into your containerized development environment. This provides a seamless, efficient development experience without restarting or rebuilding containers manually.
Copy file name to clipboardExpand all lines: content/guides/frameworks/laravel/development-setup.md
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> [!NOTE]
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> If you prefer a **one-service-per-container** approach, simply omit the workspace container and run separate containers for each task. For example, you could use a dedicated `php-cli` container for your PHP scripts, and a `node` container to handle the asset building.
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## Create a Docker Compose Configuration for development
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## Create a Docker Compose configuration for development
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Here's the `compose.yaml` file to set up the development environment:
Copy file name to clipboardExpand all lines: content/guides/opentelemetry.md
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Basic knowledge of Node.js and Docker.
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## Project Structure
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## Project structure
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Create the project directory:
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```bash
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│ └── tracer.js
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```
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## Create a Simple Node.js App
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## Create a simple Node.js app
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Initialize a basic Node.js app:
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});
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```
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## Configure OpenTelemetry Tracing
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## Configure OpenTelemetry tracing
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Create the tracer configuration file:
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exporters: [logging, jaeger]
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```
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## Add Docker Compose Configuration
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## Add Docker Compose configuration
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Create the `docker-compose.yaml` file:
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CMD ["node", "app.js"]
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```
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## Start the Stack
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## Start the stack
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Start all services with Docker Compose:
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View traces at [http://localhost:16686](http://localhost:16686) in the Jaeger UI
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## Verify Traces in Jaeger
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## Verify traces in Jaeger
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After visiting your app's root endpoint, open Jaeger’s UI, search for the service (default is usually `unknown_service` unless explicitly named), and check the traces.
Copy file name to clipboardExpand all lines: content/guides/postgresql/companions-for-postgresql.md
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---
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## PostgreSQL Ecosystem companions: pgAdmin, PgBouncer, and Performance Testing
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## PostgreSQL ecosystem companions: pgAdmin, PgBouncer, and performance testing
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Running a standalone PostgreSQL container is often just the beginning. What happens when thousands of connections arrive, or when you need a visual interface to manage your database?
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