Observability Professor: The Network Edge Series

This series will navigate through discussions on network edge devices, the data they generate, the agents employed for monitoring and data collection. Uncover the crucial importance of visibility at the edge and the value derived from selectively retrieving only the essential data. Tune into this series as we unravel the complexities of the network edge landscape.

This second module unlocks the power of seamless auto-discovery and observability data gathering right from its source. Streamline the process of automatically discovering, monitoring, and collecting metrics from hosts and containers, while efficiently capturing logs from running applications. Edge is a must for Kubernetes coverage since it can be added as a daemonset instead of a sidecar, making it so much easier to collect data and Edge will scale as your K8 pod grows. Bid farewell to delayed data and the risk of drops due to queueing. Tune in to hear how you can experience a significant enhancement in usability, uncovering previously unnoticed data that enriches your telemetry coverage.

This session is all about the world of centralized management of edge node information, where monitoring, managing, and configuring become seamlessly centralized through a visual console. Say goodbye to log onboarding challenges as Edge provides clarity on log paths, allowing admins to precisely identify logs on hosts and read file contents with ease. Join us to explore the possibilities that data unlocks in the realm of centralized edge management.

This module dives into the complexities associated with monitoring Windows systems. The landscape of Windows observability presents intricate challenges due to the diverse array of services, applications, and workloads operating on individual hosts. Spanning from web servers to databases, Active Directory to DNS, messaging systems to custom applications, the Windows environment comprises an intricate network of interconnected components, each producing logs, metrics, and events crucial for performance analysis and issue diagnosis. Our aim is to provide guidance in deciphering the wealth of data generated and understanding its inherent value.

Interested in learning about the real-time collection and processing of observability data, including metrics and logs, from various endpoints such as Windows machines, applications, and microservices? Be sure to explore our blog for more information. https://cribl.io/blog/cribl-edge-and-windows-a-perfect-pair-for-observability/

This module dives into the essence of Kubernetes and the pivotal role of edge visibility for administrators. We’ll discuss the necessity of a reliable system for collecting and organizing logs, metrics, and events in the complex landscape of container orchestration. Discover the significance of comprehending the data generated in a scaled Kubernetes environment. We will also explore performance monitoring to track CPU and memory usage by applications or containers.

Interested in diving deeper into this subject? Check out our blog for a comprehensive insight into the utilization of products like Cribl Edge. You’ll discover how it offers the visibility and management necessary for organizations aiming to harness the full potential of Kubernetes. https://cribl.io/blog/kubernetes-cribl-edge-because-logging-and-metrics-shouldnt-be-a-mystery-novel/

During this module, Perry and Sri focus on harnessing the monitoring capabilities of edge systems to analyze service error logs and pinpoint the underlying cause of issues, all while retaining the ability to route and store them efficiently.