As the digital era evolves, the demand for reliable and efficient big data ecosystems intensifies, especially within financial institutions like Wells Fargo. This paper explores the critical role of continuous monitoring and alerting systems in maintaining the integrity and performance of these ecosystems. It draws on experiences and strategies implemented at Wells Fargo up to November 2023, showcasing how these practices ensure operational excellence and compliance. By examining a range of techniques, tools, and case studies, this paper provides a comprehensive guide on establishing effective monitoring frameworks that proactively identify potential issues, optimize resources, and maintain data privacy in line with regulatory standards. Continuous monitoring and alerting systems are indispensable components of modern big data ecosystems, serving as the backbone for maintaining system health and performance. This paper delves into the critical role played by these systems in ensuring the stability and efficiency of big data processing pipelines. Organizations can gain valuable insights into system behaviour, identify potential issues, and proactively mitigate risks by establishing robust monitoring mechanisms. By exploring various techniques, tools, and best practices, this paper aims to understand effective monitoring and timely alerting strategies comprehensively. Furthermore, real-world scenarios and case studies will be analyzed to offer practical insights into the challenges faced by organizations in maintaining the reliability and resilience of big data environments, along with the corresponding solutions employed to address them.