3 Repos
Correlates metrics, logs, and traces in one SQL query without switching between separate systems.
Distinct from Trace Querying: Distinct from Trace Querying: focuses on correlating all three observability signals (metrics, logs, traces) in a single query, not just trace filtering.
Explore 3 awesome GitHub repositories matching system administration & monitoring · Cross-Signal Correlations. Refine with filters or upvote what's useful.
OpenTelemetry Go is a framework for generating and collecting distributed traces, metrics, and logs from Go applications. It provides a standardized telemetry instrumentation API for adding observability markers to code and a corresponding SDK for processing and emitting these signals. The project utilizes a configurable observability pipeline to sample and export telemetry data to external backends using the OTLP wire protocol. It features a pluggable export system and a separation between the public API and the SDK implementation, allowing telemetry to be routed to third-party platforms wit
Links traces, metrics, and logs with shared context to enable cross-signal correlation of application behavior.
GreptimeDB is a distributed, open-source time-series database built for unified observability. It stores and queries metrics, logs, and traces together in a single columnar engine, supporting both SQL and PromQL for analysis. The database is designed as a Kubernetes-native operator with a decoupled compute and storage architecture, enabling horizontal scaling and multi-region deployment. What distinguishes GreptimeDB is its role as a multi-protocol ingestion gateway, accepting data through OpenTelemetry, Prometheus Remote Write, InfluxDB, Loki, Elasticsearch, Kafka, and MQTT protocols without
Correlates metrics, logs, and traces in one SQL query without switching between separate systems.
The OpenTelemetry .NET SDK is a set of libraries used to generate and export traces, metrics, and logs from .NET applications. It functions as an application performance monitoring tool and a distributed tracing implementation, providing the necessary infrastructure to capture system metrics and request paths across microservices. The project includes a zero-code instrumentation library that automatically captures telemetry from popular .NET frameworks without requiring manual changes to source code. It uses a provider-based API abstraction to decouple instrumentation from specific backend im
Links traces, metrics, and logs using a shared context to provide a unified view of request journeys.