Enhancing Observability in SAP-Kyma Environments
As SAP landscapes evolve to embrace cloud-native technologies, Kyma emerges as a pivotal platform for extending SAP solutions with Kubernetes-native microservices and event-driven applications. While Kyma comes with built-in monitoring capabilities, integrating it with external monitoring tools offers SAP developers and operations teams deeper visibility, improved alerting, and advanced analytics. This article explores how to integrate Kyma with popular external monitoring tools, ensuring robust observability for SAP-Kyma applications.
Kyma provides foundational monitoring through components like Prometheus, Grafana, and Elastic Stack. However, organizations often require:
Integrating Kyma with external tools empowers SAP teams to leverage enterprise-grade monitoring frameworks while continuing to benefit from Kyma’s native observability.
Datadog offers comprehensive monitoring and analytics for Kubernetes environments. It collects metrics, logs, and traces and provides AI-driven alerts.
Integration Approach:
Deploy the Datadog Agent as a DaemonSet within the Kyma cluster to collect node, pod, and container metrics. Configure log forwarding from Elastic Fluentd or use Datadog’s Kubernetes integration directly.
Benefits:
Unified dashboards, application performance monitoring (APM), Kubernetes topology views, and anomaly detection.
New Relic provides end-to-end observability with deep Kubernetes insights.
Integration Approach:
Install the New Relic Kubernetes integration Helm chart on Kyma clusters. Use New Relic’s Fluentd or Fluent Bit for log forwarding.
Benefits:
Detailed pod metrics, distributed tracing, and integration with SAP-specific monitoring workflows.
Splunk enables log aggregation, real-time search, and operational intelligence.
Integration Approach:
Forward Kyma logs from the Elastic Stack Fluentd agent to Splunk using HTTP Event Collector (HEC). Metrics can be sent using the Splunk OpenTelemetry Collector.
Benefits:
Powerful log analytics, security monitoring, and compliance reporting.
While Kyma uses Prometheus natively, external Prometheus servers can aggregate metrics from multiple Kyma clusters.
Integration Approach:
Configure Prometheus remote write or federation to push Kyma metrics to central Prometheus or Cortex instances.
Benefits:
Scalable metric collection, long-term storage, and unified querying.
Identify which components are already deployed, e.g., Prometheus, Fluentd, and Grafana, and determine what data streams you want to export (metrics, logs, traces).
Select the tool that fits your organization’s requirements for scale, feature set, and integration capabilities.
Install monitoring agents or collectors as Kubernetes DaemonSets or sidecars in the Kyma cluster to gather metrics, logs, and traces.
Set up log forwarders (Fluentd, Fluent Bit) or use native exporters to route data to external systems securely, considering encryption and access controls.
Verify data flows correctly and customize dashboards and alerts to reflect SAP-specific KPIs, such as SAP Event Mesh metrics or API Gateway traffic.
Integrating Kyma with external monitoring tools unlocks comprehensive observability essential for maintaining SAP extensions in complex cloud-native landscapes. Whether leveraging Datadog’s AI-powered insights, New Relic’s detailed tracing, or Splunk’s log analytics, SAP developers and operators can gain a unified view across Kyma clusters and SAP environments. Following best practices ensures secure, performant, and actionable monitoring setups that drive operational excellence and business continuity.