Monte Carlo: Establishing Trust through Data Observability

<p>Data observability refers to the ability to collect, measure, and analyse data from various sources in order to understand the current state and behaviour of a system.</p><p>This includes monitoring the system's performance, availability, and errors, as well as identifying patterns and anomalies in the data.&nbsp;</p><p>By implementing data observability, organisations can gain insights into their systems and make data-driven decisions to improve performance, optimize resources, and reduce costs. Common tools used for data observability include logging, metrics, tracing, and alerting.&nbsp;</p><p>In this episode of the EM360 Podcast, Analyst Christina Stathopoulos speaks to Lior Gavish, Co-Founder and CTO at Monte Carlo, to discuss:</p><p>Getting started with data observability</p><p>Observability trends for 2023</p><p>How to implement and common challenges</p>