Distributed Tracing

Search documents
CORRECTION: Coralogix Contributes MongoDB Compatibility to OpenTelemetry eBPF Auto-Instrumentation
GlobeNewswire News Roomยท 2025-07-31 21:35
Core Insights - Coralogix has corrected its previous statement regarding its contribution to the OpenTelemetry eBPF Instrumentation (OBI) project, clarifying that while it added features, it is not the original author or leader of the project [1] - The OBI project, derived from Project Beyla by Grafana Labs, enhances eBPF-based observability within the OpenTelemetry framework [1] Group 1: Contribution to OpenTelemetry - Coralogix has contributed MongoDB support and DB event identification to the OBI project, which aims to facilitate observability for organizations of all sizes [1][3] - The upstream-first approach of the OBI project is designed to eliminate friction in adopting observability, supporting both modern and legacy environments [3] Group 2: Challenges in Adoption - Manual instrumentation is identified as a significant barrier to the adoption of OpenTelemetry and distributed tracing, requiring extensive code retrofitting and coordination across multiple services [2] - The OBI project allows teams to stream high-fidelity traces, logs, and metrics with minimal performance impact, outputting data in OTLP format for compatibility with OpenTelemetry backends [2] Group 3: Open Observability Vision - The CTO of Coralogix emphasized that instrumentation should not be a burden for developers, advocating for a simplified deployment process that enables teams to activate high-fidelity distributed tracing easily [4] - OBI is available as an open community project, allowing users to deploy the OBI DaemonSet or Helm chart and stream data to various OTEL-compatible destinations [4] Group 4: Company Overview - Coralogix is a full-stack observability platform that provides real-time monitoring and management of data, supporting various functionalities such as Log Analytics, APM, SIEM, RUM, and infrastructure monitoring [5] - The platform offers a straightforward pricing model based on data volume and is backed by responsive customer support [5]