Using Data Observability for Debugging, Error Handling, and Preventing Downtime

We are reaching the end of our journey through the data ingestion world and have covered many important topics and seen how they could be applied to real-life projects. Now, to finish this book with a flourish, the final topic is the concept of data observability.

Data observability refers to the ability to monitor, understand, and troubleshoot the health, quality, and other vital aspects of data in a big organization or a small project. In summary, it ensures that data is accurate, reliable, and available when needed.

Although each recipe in this chapter can be executed separately, the goal is to configure tools that, when set together, create a monitoring and observability architecture ready to bring value to a project or team.

You will learn about the following recipes:

• Setting up StatsD for monitoring
• Setting up Prometheus for storing metrics
• Setting up Grafana for monitoring...