3 个仓库
Standardized methods for transmitting data to external storage or aggregation services.
Explore 3 awesome GitHub repositories matching data & databases · Remote Write Protocols. Refine with filters or upvote what's useful.
Prometheus is a comprehensive monitoring and alerting platform designed to track infrastructure health and application performance. It functions as a time series database that ingests, indexes, and queries high-frequency numerical data points. By utilizing a pull-based model, the system periodically collects multi-dimensional metrics from monitored targets, storing them in an optimized block storage format that supports high-throughput ingestion and efficient historical analysis. The platform distinguishes itself through a specialized query engine that enables real-time analysis of performanc
Transmits data to external storage systems using standardized protocols to ensure reliable communication across distributed services.
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
GreptimeDB accepts metrics from a Prometheus instance by configuring it to forward data through the remote write protocol.
m3 是一个分布式时间序列数据库,专为高分辨率指标和高基数数据管理而设计。它作为一个可扩展的存储系统和多集群查询引擎,提供了一个分布式指标聚合器,能够在数据提交到存储之前进行降采样和汇总。 该项目以其使用 etcd 进行节点成员管理和分片放置的协调集群模型而脱颖而出。它支持多种摄取协议,包括 Prometheus 远程写入协议、InfluxDB 行协议和 Graphite Carbon 纯文本协议,并提供与 PromQL 和 Graphite 兼容的查询接口。 该系统涵盖了广泛的功能领域,包括列式时间序列存储、同步数据复制和分布式查询扇出。它集成了数据生命周期自动化、基于法定人数 (Quorum) 的一致性调整,以及基于标签的序列索引,以在隔离的命名空间中保持数据完整性和检索速度。 集群编排和组件放置通过自动化工具和 Operator 进行管理,以确保高可用性和均衡的数据分布。
Supports exporting time series data to external backends using standardized remote write protocols.