Observability experts Jasper Paul and Vinoth Kanagaraj from Site24x7 discuss achieving visibility for Kubernetes apps, OpenTelemetry, AI in analysis, useful metrics, multi-cluster monitoring, and the evolution from monitoring to observability platforms.
Evolution from monitoring to observability platforms due to Kubernetes complexity, focus on metrics, traces, and logs integration.
Significance of AI in observability, aiding anomaly detection, forecasting, and pattern recognition for efficient incident response.
Deep dives
Transition from Monitoring to Observability in Kubernetes
The evolution from traditional monitoring to observability platforms is highlighted, emphasizing the gaps that arose with the complexity introduced by Kubernetes. The shift towards metrics, traces, and logs integration led to observability platforms correlating data sources for faster incident resolution. Jasper's experience narrates this transformation journey from a monitoring tool to a comprehensive observability platform, addressing the industry's demands and pivoting features to meet evolving needs.
Complexities Introduced by Kubernetes in Application Observability
The complexities brought by Kubernetes in app monitoring are discussed, showcasing the challenges of managing multi-layered IT stacks, including the web, application, and network layers. The introduction of Kubernetes monitoring highlighted the necessity for a centralized telemetry system to eradicate silos and enhance root cause analysis efficiency, reducing incident resolution times. The episode delves into the transformative impact of Kubernetes on observability within the ecosystem, emphasizing its vital role.
Role of AI in Observability and Anomalies Detection
The significance of AI in observability, particularly in anomaly detection, forecasting, and pattern recognition, is underscored. The AI ops concept addresses the overwhelming volume of data in DevOps settings, enabling automated analysis of telemetry patterns to identify abnormal system behaviors. Features like alerting based on AI engines and anomaly dashboards enhance incident response efficiency, providing deep insights into workload behaviors and aiding predictive capacity planning.
Integration with OpenTelemetry and Cloud Monitoring
The podcast delves into the adoption of OpenTelemetry standards to streamline observability across diverse applications. Discussions center around the implications of open standards on APM solutions, emphasizing the gradual shift towards open telemetry adoption in the observability landscape. Moreover, insights into cloud monitoring, including utilizing CloudWatch for EKS cluster monitoring and supporting monitoring on Windows nodes and pods, showcase the platform's versatility and adaptability to varied environments.
Bret is joined by Jasper Paul and Vinoth Kanagaraj, observability experts and Site24x7 Product Managers, to discuss achieving end-to-end visibility for applications on Kubernetes infrastructure. We answer questions on all things monitoring, OpenTelemetry, and KPIs for DevOps and SREs.
We talk about the industry's evolution from monitoring to full observability platforms, as well as adjacent topics for helping you with your own Kubernetes and application monitoring, including going through some of the most useful metrics in Kubernetes and AI's role in metric analysis and alerting humans.
Be sure to check out the live recording of the complete show from April 25, 2024 on YouTube (Ep. 263). Includes demos.