One of the biggest problems that teams managing large-scale distributed systems face is alert noise. Getting precise signals when something is wrong in production services is critical for maintaining the stability of production systems since it enables teams to reduce the time to mitigate issues that impact customers and helps uphold the SLAs promised to customers. In the era of AI, where anyone can write and ship code, reliability becomes a key differentiator for companies. Effective alerting is one of the important aspects of improving and maintaining reliability.In this article, I describe a set of tools and processes that can be incorporated to improve alerting effectiveness for large-scale distributed systems.