The most valuable features of Apache Superset include its cloud accessibility, allowing us to access it from anywhere. We can set up different databases such as PostgreSQL, MySQL, SQLite, and Oracle depending on our needs. We can build various types of charts such as bar charts, line graphs, and maps, and customize these visualizations to communicate insights effectively to team members who might not be familiar with how Apache Superset functions or to external clients. For example, we can show them integration health metrics for the last month, indicating what percentage of reservations were received or what the failure rates are. Moreover, Apache Superset allows us to set up alerts; for instance, if the failure rate exceeds 1.5%, we receive an alert to address the issue with our integration partners. We can also connect seamlessly to multiple data sources, including Minerva SQL, Trino, or StarRocks. My impression of Apache Superset's customizable dashboard features is quite positive. For instance, if we track the integration health of our partner's system, we send them a webhook that needs to be responded to within 10 seconds. These webhooks are crucial for entering reservations into their system, as failing to do so could mean losing revenue. If a partner's system fails for a significant number of reservations, Apache Superset can visually display these metrics, alerting us when the failure rate exceeds a certain threshold. We can use this information to discuss with the partner what went wrong during a specific period, such as from July 26th to August 1st, highlighting the spike in failed notifications. This visual representation is helpful, especially for non-technical staff, as they can easily understand the stats and follow along with a presentation showing how we want the metrics to perform.
