Error analytics plays a crucial role in maintaining the reliability and user experience of modern applications, which are often complex systems built on microservices, APIs, and cloud infrastructure. When errors occur, they can quickly escalate into significant problems affecting user trust and causing financial losses. A structured approach to error analysis, supported by tools like New Relic, helps teams efficiently identify and resolve issues by providing full visibility into the system and reducing the time from detection to understanding. This involves aligning key signals such as errors, traces, and logs into a connected workflow, which aids in pinpointing root causes and prevents repeated failures. Proactive error management strategies, including setting service-level indicators, adding contextual information to error signals, adopting intelligent alerting, and automating responses to known error scenarios, are essential for transforming observability into a daily practice and ensuring system resilience. Ultimately, effective error analytics shifts teams from reactive debugging to proactive prevention, safeguarding business performance and user satisfaction.