5 Repos
Tools for gathering performance and status statistics from storage devices and logical volumes.
Distinct from Metric and Performance Monitors: Distinct from Database Performance Metrics: focuses on block-level storage and device mapper statistics rather than database query performance.
Explore 5 awesome GitHub repositories matching system administration & monitoring · Storage Performance Metrics. Refine with filters or upvote what's useful.
Telegraf is a modular, cross-platform telemetry pipeline designed to collect, process, and route metrics from diverse infrastructure, applications, and hardware. It functions as a server-side middleware that normalizes heterogeneous data into a unified format, enabling consistent monitoring across complex environments. By utilizing a plugin-driven architecture, the agent manages the entire lifecycle of telemetry data from initial ingestion to final transmission. The project distinguishes itself through a declarative, configuration-driven execution model that allows users to define complex dat
Gathers performance and status metrics from storage targets and block devices.
VictoriaMetrics is a high-performance, scalable time series database and observability platform designed for long-term storage and analysis of metric, log, and trace data. It functions as a unified backend for monitoring ecosystems, offering full compatibility with industry-standard protocols and query languages. The system is built to handle massive data volumes through a distributed architecture that supports horizontal scaling and efficient data lifecycle management. The platform distinguishes itself through a storage engine that utilizes consistent hashing for data sharding and log-struct
Reports on disk usage, compression efficiency, and background merge operations to help maintain optimal storage layout and query performance.
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
Exposes histograms and counters for storage engine read/write stages, cache hits, and flush durations.
The Blackbox Exporter is a Prometheus-compatible probe that checks the availability and response correctness of external services over HTTP, HTTPS, DNS, TCP, ICMP, and gRPC. It exposes probe results as Prometheus metrics, including a probe_success indicator for each endpoint checked, making it a dedicated tool for blackbox monitoring of network services. The exporter uses a probe-module configuration system where reusable settings such as protocol, method, and IP version are defined as named YAML modules. These modules are assigned to target groups through Prometheus relabeling rules, which m
Provides a mechanism to export storage metrics via Prometheus, but this is not its primary function.
Kvrocks is a disk-based NoSQL database and distributed key-value store that leverages the RocksDB storage engine to persist large datasets to physical disk. It is designed to be a Redis-compatible database, utilizing the standard Redis communication protocol to ensure interoperability with existing client libraries and tools. The project distinguishes itself by combining a disk-persistent storage model with advanced retrieval capabilities, including vector search for k-nearest neighbor queries, full-text search indexing, and geospatial query execution. It supports distributed clustering with
Tracks internal storage engine performance, including cache utilization and IO write stalls.