FinalFiebreDeBaile SaaS Platform: Tier4 Integration and Management Manual

1. Scope and Prerequisites

This manual provides detailed instructions for administrators and technical personnel on integrating, configuring, and managing the FinalFiebreDeBaile (#FinalFiebreDeBaile) event analytics platform within a Tier4 SaaS infrastructure. This guide covers core platform operations, tool linkage, and AI feature utilization.

Applicable Scope: This document applies to version 3.2.0 and above of the FinalFiebreDeBaile platform.

Prerequisites:

• An active Tier4 subscription with administrator-level access.
• Valid API credentials (Client ID and Secret Key) for the FinalFiebreDeBaile service.
• Access to your organization's SaaS management console.
• A configured web server or container environment (Docker/Kubernetes) meeting the minimum specifications outlined in the platform documentation.
• Network permissions allowing traffic on ports 443 (HTTPS) and the designated API port (default: 9342).

2. Preparation

Before beginning the integration process, complete the following preparatory steps:

1. Environment Verification: Log into your Tier4 SaaS dashboard. Navigate to Service Management > API Integrations and confirm that your account has available integration slots.
2. Credential Generation: From the FinalFiebreDeBaile admin panel (https://admin.finalfiebredbaile.com/credentials), generate a new set of API credentials. Securely store the provided client_id and client_secret.
3. Resource Allocation: In your Tier4 dashboard, allocate the necessary compute and storage resources. The recommended baseline for standard operation is 2 vCPUs, 8GB RAM, and 50GB of persistent storage.
4. DNS Configuration: Prepare a subdomain (e.g., analytics.yourcompany.com) and point its CNAME record to the Tier4 gateway endpoint provided in your service details.

3. Operational Procedures

3.1. Initial Integration and Deployment

1. Step 1: Register the Service in Tier4
   • In the Tier4 dashboard, select Integrate New Service.
   • Search for and select "FinalFiebreDeBaile" from the SaaS catalog.
   • In the configuration form, paste the client_id and client_secret obtained during preparation.
   • Set the deployment region and select the resource tier allocated earlier.
   • Click Provision & Deploy. The process typically takes 5-7 minutes.

   Expected Result: The dashboard will display a "Deployment Successful" status. A unique service endpoint URL (e.g., https://[unique-id].tier4.svc) will be generated.

2. Step 2: Configure Platform Links and Tools
   • Once deployed, access the FinalFiebreDeBaile configuration console via the provided endpoint.
   • Navigate to Settings > External Tools.
   • Link necessary third-party services (e.g., data warehouses, notification systems) by providing their API keys and endpoints in the respective fields.
   • Configure the primary data source link. Example code snippet for a PostgreSQL source:

     
     # Configuration YAML snippet (config/database.yml)
     production:
       adapter: postgresql
       host: ${DB_HOST}
       port: 5432
       database: finalfiebre_events
       username: ${DB_USER}
       password: ${DB_PASSWORD}
       pool: 5
                     

     Figure 1: Example database connection configuration.

   • Save the configuration. The platform will restart services automatically.

   Expected Result: All linked tools will show a "Connected" status. The system health dashboard will indicate all services are running.

3.2. Enabling and Configuring AI Features

3. Step 3: Activate Predictive Analytics Module
   • In the platform console, go to AI Modules > Predictive Engine.
   • Toggle the activation switch to "ON".
   • Upload historical event data in CSV format for model training, or select "Use Platform Demo Data" for initial testing.
   • Set the training parameters: Epochs (recommended: 100), Batch Size (recommended: 32), and Learning Rate (recommended: 0.001).
   • Click Train Model. Monitor progress in the task queue.

   Expected Result: Upon completion, a model accuracy score (e.g., "Model trained successfully with 94.2% accuracy") will be displayed. The Analytics Dashboard will now show a "Trend Prediction" panel.

4. Step 4: Schedule Automated Reports
   • Navigate to Automation > Report Scheduler.
   • Click Create New Schedule.
   • Define the report frequency (Daily, Weekly, Monthly), recipient email list, and data scope (e.g., "Top 10 trending metrics").
   • Enable the AI-Powered Insights checkbox to include automated analysis in the report.
   • Save the schedule.

   Expected Result: The scheduler list will show the new job as "Active". Recipients will receive formatted PDF reports at the defined interval.

4. Troubleshooting Common Issues

Refer to this section if you encounter problems during or after setup.

Symptom / Error Message	Probable Cause	Resolution Steps
"Service Deployment Failed" in Tier4 console.	Insufficient resources; invalid API credentials; network timeout.	1. Verify resource quota in Tier4. 2. Re-check and re-enter the client_id and client_secret. 3. Ensure your IP is not blocked by the Tier4 firewall.
"Database connection refused" in platform logs.	Incorrect database host/credentials; network security group rules blocking port.	1. Validate the connection parameters in the YAML configuration. 2. Confirm the database server allows inbound connections from the Tier4 service IP range. 3. Test connectivity using a network diagnostic tool from within the container.
AI Model training stalls at 0% progress.	Insufficient training data; incompatible data format; compute resource constraint.	1. Ensure the training CSV file has a minimum of 1000 records and the correct column headers. 2. Check the platform's resource monitor for high CPU/Memory usage. Scale up resources if necessary. 3. Restart the training job with a smaller batch size (e.g., 16).
Scheduled reports are not being sent.	Misconfigured SMTP settings; recipient email filtering; job scheduler failure.	1. Check the Notification Settings for correct SMTP configuration. 2. Verify recipient email addresses and check spam folders. 3. Inspect the scheduler service status via System > Service Health and restart if needed.

For issues not listed here, consult the live logs in the Tier4 Service Monitor or contact FinalFiebreDeBaile technical support with the relevant error codes and timestamps.