Description: Hadoop metrics are performance indicators collected to monitor and optimize the operations of the Hadoop ecosystem. These metrics allow administrators and developers to gain a clear view of the status of clusters, resource usage, and task performance. By collecting data on CPU, memory, disk, and network usage, as well as tracking task duration and the amount of data processed, Hadoop metrics facilitate the identification of bottlenecks and performance issues. Additionally, these metrics are essential for capacity planning and proactive resource management, ensuring that the system operates efficiently and effectively. Metrics can be visualized through monitoring tools like Ambari or Grafana, enabling operations teams to make informed decisions based on real-time data. In summary, Hadoop metrics are fundamental to ensuring the health and optimal performance of applications that rely on this distributed data processing framework.
