Integrating monitoring and logging into application stacks is essential for maintaining performance, enhancing security, and troubleshooting, especially when using Grafana Cloud to collect metrics and logs in environments where traditional pull-based methods are not feasible. This is particularly relevant in ephemeral and serverless architectures, batch jobs, IoT systems, and CI/CD workflows, where the ability to push data directly through an HTTP API to Grafana Cloud ensures real-time insights into application performance. The guide details how developers can configure metrics and logs to be sent directly using an HTTP API, providing examples in various programming languages and emphasizing the strategic advantages of this approach over traditional agent-based methods. However, it also notes that in stable, long-running environments, traditional pull-based systems like Prometheus might offer more comprehensive monitoring solutions. By leveraging these HTTP APIs, organizations can enhance their observability strategy, achieving a detailed view of system health while facilitating informed decision-making and streamlined operations.