Often, logs, metrics and traces that are clearly indicative of an upcoming production crisis are lost in the sea of telemetry data generated by modern, distributed AWS environments.
This is especially true in environments powered by technologies like Kubernetes. Each component in a microservices architecture, such as databases, cloud infrastructures, backend and frontend services, produces different kinds of telemetry data that must be monitored for performance and reliability.
The result is a barrage of telemetry data that increases in scale and variety as AWS workloads grow. Engineers hoping to identify and investigate production issues must collect, aggregate, index and visualize this data so it can be analyzed, introducing a serious data analytics challenge.
Join this webinar to learn three key ways to simplify Kubernetes monitoring on AWS: