Improving Observability: OpenTelemetry and Prometheus Interoperability
This article discusses the ongoing convergence and interoperability improvements between OpenTelemetry (OTel) and Prometheus, two leading cloud-native observability standards. It highlights a survey showing increased ease of use for combined deployments and details Atlassian's large-scale migration of metrics collection to OpenTelemetry, demonstrating significant efficiency gains and cost reductions in a distributed system context. The article underscores the importance of robust observability for complex, distributed, and AI-powered systems, citing substantial business costs due to outages.
Read original on The New StackThe Evolving Landscape of Cloud-Native Observability
In modern cloud-native architectures, effective observability is critical for understanding system behavior, detecting anomalies, and ensuring reliability. OpenTelemetry (OTel) and Prometheus have emerged as de facto standards for collecting and processing telemetry data (metrics, traces, and logs). While often used together, their interoperability has historically presented challenges. Recent efforts and surveys indicate significant progress in bridging the gaps between these two ecosystems, making it easier for organizations to leverage both.
OpenTelemetry and Prometheus Interoperability Improvements
A recent survey revealed that nearly half of respondents mix Prometheus and OTel-style instrumentation for infrastructure metrics, with 30.7% doing so for application metrics. The survey also indicated a noticeable improvement in the ease of use when combining these technologies, with the share of users finding them hard to use together decreasing from 29% to 10%. This indicates maturing integrations and a clearer path for architects to design comprehensive observability stacks leveraging both tools. Key areas still needing improvement include data model alignment, resource attribute handling, and consistent naming/formatting.
Design Consideration: Unified Observability Strategy
Architects designing observability pipelines should consider a unified strategy for metrics, traces, and logs. While OTel provides a comprehensive standard for all telemetry types, Prometheus remains a strong choice for metrics collection, especially with its pull-based model. Designing for interoperability from the outset can prevent future refactoring and ensure a holistic view of system health.
Atlassian's Large-Scale OpenTelemetry Migration
Atlassian successfully migrated its metrics collection pipeline, which handled data from approximately 100,000 hosts across 14 regions, to OpenTelemetry. This significant undertaking demonstrates the benefits of standardizing on OTel. By abstracting the underlying collection mechanisms, Atlassian achieved a "platform-team migration," minimizing disruption to service teams. The migration resulted in substantial operational efficiencies:
- Approximately 50% reduction in CPU usage for aggregation with the same traffic.
- Unified operations through the OTel Collector.
- More even distribution of CPU usage across ingest shards.
- Roughly 30% reduction in sidecar costs at fleet scale.
This case study underscores the operational and cost benefits of adopting a standardized observability framework like OpenTelemetry, particularly for large, distributed systems. It highlights how a well-planned migration strategy can lead to significant improvements in resource utilization and management complexity.