eAPM for Effortless Kubernetes and Hosts Monitoring GA

"Identifying the root cause of performance issues in complex Kubernetes environments can be a time-consuming and challenging task. eAPM utilizes intelligent span sampling to identify and automatically highlight critical performance issues within application spans. This feature simplifies debugging by quickly surfacing the essential information required to resolve performance bottlenecks. Practical example:If a microservice experiences unexpected latency, eAPM surfaces problematic spans immediately, pinpointing bottlenecks and enabling rapid remediation. The result: dramatically lower Mean-Time-To-Recovery (MTTR) and higher service reliability."

"Traditional monitoring solutions often require manual correlation across multiple data points, which slows incident response. eAPM provides comprehensive AI-driven insights directly within the New Relic APM UI, automatically correlating golden metrics, transaction details, database performance, and Kubernetes cluster performance. Benefits: Instant visibility into the health and performance of your entire Kubernetes (and traditional host) workload. Reduced manual effort through automatic correlation of telemetry data. Enhanced ability to proactively address potential performance degradation."

"Monitoring solutions have traditionally consumed substantial system resources, negatively impacting overall application performance. eAPM operates efficiently at the kernel level using eBPF technology, ensuring low CPU and memory overhead, allowing your applications to run optimally without additional performance penalties. Impact:Resource optimization enables your Kubernetes clusters to perform at their best, freeing up valuable resources for critical business workloads rather than dedicating them to monitoring overhead."

eAPM detects and highlights critical performance issues within application spans using intelligent span sampling to surface essential debugging information quickly. When a microservice experiences unexpected latency, eAPM pinpoints problematic spans immediately, reducing Mean-Time-To-Recovery (MTTR) and improving reliability. eAPM provides AI-driven insights that automatically correlate golden metrics, transaction details, database performance, and Kubernetes cluster health directly within the New Relic APM UI. The solution delivers instant visibility across Kubernetes and traditional hosts while reducing manual effort. eAPM operates at the kernel level with eBPF to ensure low CPU and memory overhead. Resource optimization allows clusters to allocate resources to business workloads instead of monitoring.

Read at New Relic