Changing how you view observability
Observability as you probably know it uses traces, logs, and metrics to monitor and manage your IT systems and applications. Data observability, on the other hand, describes your ability to understand the overall health of your data and data systems.
By collecting and correlating events across your data estate, data observability helps ensure your data is complete, accurate, and up to date.2 Simply put, better data helps yield better business outcomes.
We’ve distilled the advantages of data observability into three benefits to recast how you can look at, think about, and discuss this holistic approach to data management:
Data observability creates speed
Data observability’s value proposition is grounded in speed. Accurate information available in real time or as close to it as possible allows analysts and engineers to quickly discover and understand the impact any issues with the company’s data or data pipelines can have on their systems and processes. Faster discovery speeds resolution, which in turn saves time and money.
Imagine you’re a global manufacturer, and a data pipeline in your system fails, preventing you from sending and receiving data in real time. Without end-to-end oversight of the entire data pipeline and the ability to observe the overall health of your data system, it may take hours to detect and isolate data anomalies. So, what might otherwise be an easy fix could devolve into a major issue that disrupts the delivery and reliability of critical business reports that inform your production lines.
Meanwhile, data observability ensures you can quickly identify data irregularities and predict how that specific device going down will disrupt your data system. Then, based on the anticipated business impact, your customer experience officer (CXO) can decide whether to escalate the support ticket for immediate resolution or prioritize other duties.
In this scenario, full visibility into your data pipelines could theoretically reduce mean time to detect and mean time to restore by up to 60% and 80%, respectively. Faster anomaly detection and issue resolution should, by extension, improve your company’s ability to meet service-level agreements (SLAs).