Bloomberg's journey to develop a robust telemetry system was marked by the initial challenges of disparate and overlapping monitoring efforts, which lacked a cohesive global data view and resulted in inefficient systems. Initially, developers were responsible for creating monitoring solutions for their applications, leading to inconsistencies and inefficiencies. To address these issues, Bloomberg embraced open-source software to build a centralized and flexible monitoring and alarming service. The initial solution involved a homegrown StatsD agent, but scaling challenges led them to explore other options, such as Metrictank, which provided significant improvements in handling high cardinality data and processing complex queries efficiently. The transition to Metrictank allowed Bloomberg to enhance their monitoring capabilities while making the system more user-friendly and scalable, demonstrating the importance of adaptability, networking, and the willingness to evolve systems based on feedback and technological advancements.