This blog series focuses on understanding common symptoms in Apache Kafka, including increased connections, and exploring questions to ask oneself to determine the root cause. It highlights the importance of knowing the types of connections made across a cluster, monitoring relevant metrics such as connection counts, creation rates, and blocked requests, and avoiding potential problems by diving into common Apache Kafka mistakes and pitfalls. The series aims to help users level up their Kafka debugging game and understand how individual symptoms can be pointing to a wider problem.