Cloud observability has become increasingly complex and noisy, challenging organizations that have migrated to cloud infrastructure with expectations of streamlined operations and reduced costs. A study by Forrester Research commissioned by Logz.io highlights that modern cloud environments produce overwhelming amounts of data, complicating efforts to achieve full-scale observability and driving up costs. Organizations are often burdened by fractured monitoring strategies, with an average of eight different tools in use, leading to difficulty in isolating critical issues. More than half of organizations report poor data quality as a significant challenge, and the presence of tool sprawl exacerbates the problem, making monitoring both costly and inefficient. As cloud architectures evolve, there is a pressing need for improved monitoring solutions to meet business goals and recapture the anticipated benefits of cloud migration, with observability being critical to overcoming these challenges. A webinar hosted by Logz.io and Forrester is set to discuss these findings further, offering insights into efficient observability practices for scaling cloud environments.