Monitor and secure your Tinybird assets
Optimize Data Pipelines and Analytics
Track and analyze key resources and configurations of your Tinybird account, such as datasource details and pipe configurations. This monitoring is vital for enhancing the performance of your data pipelines, ensuring efficient data processing, and maintaining data integrity.
Automate Security Audits
Enforce policies for managing datasources, pipes, and tokens within Tinybird. Regular assessment and updating of these policies ensure that your data infrastructure remains secure, efficient, and aligned with your organizational goals.
Receive Alerts on Important Updates
Set up alerts to be notified about significant changes, such as the addition of new data sources, updates to pipelines, or alterations in data processing jobs. Staying on top of these changes helps you maintain a secure and efficient data processing system.
Track Data Processing Activities
Keep a detailed log of all activities related to data jobs and configurations in Tinybird. Regularly reviewing these logs is crucial for understanding the efficiency of your data operations and ensuring compliance with your established data management policies.
Explore all resources from a unified view.
Tinybird Integration with Resmo
Tinybird is a real-time analytics platform that leverages SQL and Apache Kafka to transform, enrich, and filter data streams. It provides instant and reliable access to large amounts of data, enabling users to create scalable APIs with SQL.
By integrating with Tinybird, Resmo delivers valuable insights that enhance your real-time analytics operations. Detailed visibility into datasources, pipes, and job executions enhances data flow management and operational efficiency.
Key features:
- Provide detailed information about each datasource, including its columns, engine, and statistics
- Count the number of pipes in the system and provides information about their associated nodes and endpoints
- Enumerate the scopes and origins of each token in the system
- Track executed jobs, reporting their current status and associated datasource