Monitoring in the computing world has evolved significantly with the advent of cloud-native solutions like Kubernetes, which present new challenges due to their dynamic nature. Traditional monitoring systems often struggle with such environments, prompting a comparison between Prometheus and InfluxDB as two modern solutions. Prometheus, optimized for time-series data, is integrated with the Cloud Native Computing Foundation (CNCF) and utilizes a pull model for scalability, featuring a flexible query language called PromQL. InfluxDB, also a time-series database, excels in high-availability storage and supports both push and pull data collection methods, making it suitable for diverse applications beyond monitoring, such as IoT and sensor data. While Prometheus is favored for cloud-native monitoring due to its numerous integrations and community support, InfluxDB is preferred for broader use cases involving time-series data. Both systems benefit from enhanced visualization and dashboard capabilities when used alongside tools like OSS Grafana, and Logz.io offers a managed service that integrates Prometheus metrics with log and trace analytics for a comprehensive observability platform.