4 Repos
Awesome GitHub RepositoriesUnified Observability Ingestion
Ingests metrics, logs, and traces through a unified OpenTelemetry backend, replacing dedicated stores like Prometheus, Loki, and Elasticsearch.
Distinct from OpenTelemetry Ingestion: Distinct from OpenTelemetry Ingestion: focuses on ingesting all three observability signals (metrics, logs, traces) through a single backend, not just OTLP data.
Explore 4 awesome GitHub repositories matching system administration & monitoring · Unified Observability Ingestion. Refine with filters or upvote what's useful.
Awesome Unified Observability Ingestion GitHub Repositories
Finde die besten Repos mit KI.Wir suchen mit KI nach den am besten passenden Repositories.
- greptimeteam/greptimedb
GreptimeTeam/greptimedb
5,968Auf GitHub ansehenGreptimeDB 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
Ingests metrics, logs, and traces through a unified OpenTelemetry backend, replacing dedicated stores.
Rustanalyticscloud-nativedatabase - grafana/mimir
grafana/mimir
5,133Auf GitHub ansehenMimir ist eine Multi-Tenant-Zeitreihendatenbank und ein verteilter Metrik-Speicher für skalierbare Telemetrie. Es dient als Prometheus-kompatibles Backend und bietet Langzeitspeicherung sowie eine skalierbare Abfrage-Engine für massive Mengen an Zeitreihendaten. Das System ist für Multi-Tenant-Observability konzipiert und isoliert Telemetriedaten sowie Ressourcenlimits für unabhängige Teams oder Organisationen innerhalb eines einzigen Clusters. Es gewährleistet hohe Verfügbarkeit und Langlebigkeit durch Sharding und Replikation von Daten über einen verteilten Cluster hinweg und nutzt Objektspeicher zur Persistenz, um externe Datenbankabhängigkeiten zu eliminieren. Das Projekt deckt weitreichende Fähigkeiten ab, einschließlich globaler Metrik-Aggregation für regionsübergreifende Analysen und verteilter Abfrageausführung mittels Parallelisierung und Caching. Es integriert zudem Observability-Tools wie föderiertes Alerting, synthetisches Monitoring und KI-gestützte Incident-Resolution-Workflows zur Beschleunigung der Fehlerbehebung. Administrative Kontrollen umfassen Tenant-Ressourcenquoten, benutzerbezogene Ressourcen-Overrides und Shuffle-Sharding für Workload-Isolierung.
Aggregates diverse telemetry signals including metrics, logs, and traces into a single unified backend.
Gometricsobservabilityopentelemetry - uptrace/uptrace
uptrace/uptrace
4,098Auf GitHub ansehenUptrace is an OpenTelemetry-based observability platform designed to collect, store, and analyze distributed traces, metrics, and logs. It functions as a centralized logging backend, a distributed tracing system, and a metrics engine to monitor application performance and system health. The platform is distinguished by AI-powered operational capabilities, allowing users to query telemetry data and manage monitoring dashboards using natural language. It specifically includes specialized monitoring for generative AI pipelines, tracking token usage and response quality for LLM interactions and r
Collects traces, metrics, and logs using native SDKs, collectors, or eBPF via a unified OpenTelemetry backend.
Goapmapplication-monitoringclickhouse - open-telemetry/opentelemetry-dotnet
open-telemetry/opentelemetry-dotnet
3,666Auf GitHub ansehenThe 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 a request's journey.
C#asp-netasp-net-coredistributed-tracing
