Advanced Features Guide

Custom Integrations with Webhooks

Learn how to connect our product with your existing systems using webhooks. This allows for real-time data synchronization and automated workflows.

Setup Process:

To set up a webhook, navigate to Settings > Integrations > Webhooks. Click "Add New Webhook" and provide the following information:

• Endpoint URL: The URL that will receive the POST request.
• Events: Select the specific events that should trigger a webhook.
• Authentication: Configure any necessary authentication methods (e.g., API keys, HMAC signatures).

Example Payload (JSON):

{
    "event_type": "user.created",
    "timestamp": "2023-10-27T10:30:00Z",
    "data": {
        "user_id": "usr_abc123",
        "email": "john.doe@example.com",
        "created_at": "2023-10-27T10:29:55Z"
    }
}

For more detailed information on specific events and payload structures, please refer to our Webhook API documentation.

Server-Side Configuration

Dive deep into server-side settings to fine-tune performance, security, and user experience. Understanding these configurations is key to maximizing throughput and ensuring data integrity.

Key Configuration Parameters:

• Rate Limiting: Adjust API request limits to prevent abuse and manage server load.
• Cache Settings: Optimize caching strategies for faster data retrieval.
• Security Protocols: Configure TLS versions and cipher suites for enhanced security.
• Logging Levels: Set detailed logging to aid in debugging and monitoring.

Accessing Configuration:

Server-side configurations are typically managed through a configuration file (e.g., config.json or environment variables). Consult your deployment guide for specific instructions.

Example of a config.json snippet:

{
    "api_rate_limit": {
        "requests_per_minute": 1000,
        "burst_limit": 100
    },
    "cache_ttl_seconds": 3600,
    "security_tls_version": "TLSv1.2"
}

Batch Processing Jobs

Efficiently process large datasets or perform bulk operations using our batch processing capabilities. This is ideal for tasks like data migration, bulk updates, or scheduled reporting.

Creating a Batch Job:

You can create batch jobs using our CLI tool or through the API. The process generally involves defining the job parameters, specifying the input data source, and defining the desired output.

Command-Line Interface (CLI) Example:

To process a CSV file for bulk updates:

./product-cli process-batch --type=bulk_update --input=data.csv --output=results.log --config=batch_config.yaml

Batch Job Configuration (YAML):

job_type: bulk_update
operation: update
target_collection: users
fields:
  - name: status
    value: active
  - name: last_login
    value: NOW()
filters:
  - field: status
    operator: EQUALS
    value: pending

Explore the CLI documentation for a comprehensive list of batch job commands and options.

Advanced Analytics and Reporting

Unlock deeper insights into your data with our advanced analytics tools. Create custom reports, visualize trends, and identify key performance indicators.

Custom Report Builder:

Use our intuitive report builder to select data sources, apply filters, group data, and choose visualization types (charts, graphs, tables).

Key Metrics to Track:

• User activity patterns
• Feature adoption rates
• Performance benchmarks
• Error and anomaly detection

For more on leveraging our analytics, visit the Analytics Section.