Open-source alternatives to Netdata

dockprom is a monitoring stack based on Prometheus and Grafana designed to track the performance of Docker containers and their underlying hosts. It functions as a complete solution for gathering real-time metrics and displaying them through a self-hosted dashboard. The project includes a suite of tools for collecting container and host metrics, as well as a discovery tool specifically for automatically identifying and adding tagged EC2 instances to the monitoring configuration. The system covers several observability areas, including time-series data storage and the creation of performance

Falcon Plus is an infrastructure monitoring platform designed to aggregate performance metrics from distributed agents and manage infrastructure health alerts. It functions as a containerized service orchestrator and a distributed metrics aggregator, providing a centralized system for routing monitoring data and exposing health statistics via a REST observability interface. The platform features a dedicated system alert manager that evaluates incoming performance data against predefined thresholds to trigger operational alarms. It employs a data pipeline to consolidate real-time metrics from

HertzBeat is an agentless monitoring platform designed to collect performance metrics from network devices, databases, and servers without requiring client software. It functions as an infrastructure monitoring dashboard, an alert management system, and a centralized log aggregator using the OpenTelemetry Protocol. The system utilizes a cloud-edge collection hierarchy to scale data gathering across clusters and isolated networks. It distinguishes itself with a flexible extensibility model, allowing users to define new monitoring workflows through configuration-based metric templates and custo

Nightingale is a Prometheus-compatible monitoring and alerting platform designed to centralize telemetry management across multiple time-series databases. It functions as a multi-source alerting engine and metric data pipeline that ingests telemetry via remote write protocols and triggers alarms based on data from sources such as Prometheus, Elasticsearch, Loki, and ClickHouse. The system is distinguished by its automated alert healing system, which executes predefined scripts and RPC-based corrective actions when monitoring thresholds are breached. It supports distributed alert processing, a

DeepOps is a full-stack observability platform and application performance monitoring tool. It serves as a distributed service observability suite designed to track response times, resource usage, and service health across diverse infrastructure layers. The platform functions as a cross-stack telemetry aggregator, unifying metrics and logs into a single data stream. It incorporates a heuristic anomaly detection system that analyzes performance baselines to identify statistical outliers and predict operational failures. The system covers a broad range of monitoring capabilities, including rea

Netdata is a distributed observability platform designed for real-time infrastructure monitoring and performance tracking. It functions as a high-frequency agent that collects system, container, and application metrics with per-second precision, providing both local visualization and centralized aggregation across complex, multi-cloud environments. The platform distinguishes itself through edge-based intelligence, utilizing local machine learning models to automatically detect performance anomalies without requiring manual configuration or external query engines. Its architecture prioritizes

HyperDX is an OpenTelemetry observability platform that provides centralized log management, distributed tracing, and a self-hosted monitoring stack. It functions as a unified system for collecting, indexing, and visualizing logs, metrics, and traces from cloud and container environments. The platform distinguishes itself with specialized tooling for large language model monitoring and session replay, allowing user interactions in the browser to be linked to backend telemetry. It employs schema-less JSON parsing to index structured logs dynamically and uses source maps to resolve minified sta

The Datadog Agent is an infrastructure monitoring agent and host telemetry collector. It functions as a background process that gathers system metrics and application health data to send to a centralized monitoring platform. The project operates as a plugin-based metric collector, using a modular system of independent check scripts to gather data from various third-party services and applications. It serves as a remote telemetry transmitter, providing a pipeline to stream infrastructure and system information to a remote analysis and alerting backend. Its capabilities cover application perfo

Uptrace 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

Vector is a high-performance observability data pipeline designed to collect, transform, and route logs, metrics, and traces across distributed infrastructure. It functions as a modular engine that decouples data ingestion from processing and transmission, utilizing a component-based architecture to connect diverse sources to multiple destinations. The project distinguishes itself through a focus on reliability and flow control. It implements backpressure-aware data movement to prevent data loss during traffic spikes and utilizes disk-backed event buffering to ensure durability during network

Dynamic Thread Pool is a Java framework for the dynamic management, observability, and orchestration of thread pools. It allows for the real-time adjustment of thread pool parameters via external configuration centers without requiring application restarts. The project distinguishes itself by providing middleware orchestration, enabling the interception and tuning of thread pools embedded within third-party web servers and RPC frameworks. It further supports distributed tracing by propagating execution contexts and metadata from submitting threads to worker threads to maintain observability a

htop is a terminal user interface system monitor for Unix systems. It functions as an interactive process viewer and real-time resource visualizer, providing a dashboard to track CPU, memory, and load average metrics. The tool enables the sorting, filtering, and termination of active system processes and threads. It distinguishes itself through a text-mode interface that can render processes in a hierarchical tree structure to visualize parent-child relationships and allows for the assignment of CPU affinity to specific processor cores. The monitoring surface covers CPU utilization, memory a

m3 is a distributed time series database designed for high-resolution metrics and high-cardinality data management. It functions as a scalable storage system and a multi-cluster query engine, providing a distributed metrics aggregator capable of downsampling and summarizing data before it is committed to storage. The project distinguishes itself through a coordinated cluster model using etcd for node membership and shard placement. It supports multiple ingestion protocols, including the Prometheus remote write protocol, InfluxDB line protocol, and Graphite Carbon plaintext protocol, and provi

InfluxDB is a high-performance time-series database designed for collecting, storing, and querying time-stamped metrics and event data. It functions as a columnar time-series store and a real-time analytics engine, providing a network-accessible interface for retrieving and analyzing temporal records. The system utilizes a specialized columnar storage format to support high ingestion rates and efficient data retrieval. It incorporates a programmable runtime for executing custom plugins and triggers, including integration for processing and transforming incoming data streams. The platform cov

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

QuestDB is a high-performance, distributed time-series database designed for the ingestion, storage, and analysis of massive datasets. It functions as a real-time analytics platform that utilizes a columnar storage engine to optimize disk input and output, enabling efficient analytical scans and complex windowing operations on streaming data. The platform distinguishes itself through specialized capabilities for handling asynchronous time-series streams, including advanced join algorithms that align disparate data sets based on precise timestamp lookups. It supports high-volume ingestion thro

Grafana is an observability data platform designed to aggregate metrics, logs, and traces from diverse sources into a unified environment. It functions as a centralized interface for visualizing complex telemetry data, transforming raw streams into interactive dashboards that support real-time system health tracking and performance monitoring. The platform distinguishes itself through a plugin-based modular architecture that integrates disparate databases, cloud services, and monitoring tools via a standardized data abstraction layer. This framework allows for the dynamic loading of external

Coroot is an observability platform and Kubernetes performance monitor that utilizes eBPF to automatically collect metrics, logs, and traces without requiring manual code instrumentation. It functions as an OpenTelemetry trace analyzer and an LLM observability gateway, exposing system health data to large language models through the Model Context Protocol. The platform differentiates itself by combining automated root cause analysis and AI-driven diagnostics to investigate performance regressions. It also includes a cloud cost monitoring tool that attributes infrastructure spending to specifi

Graphite-web is a time-series monitoring platform that stores numeric metric data in fixed-size Whisper database files, ingests metrics over a plaintext TCP protocol, and renders on-demand graphs from stored data. It provides a tag-based metric query engine for flexible data organization and retrieval, and includes a custom dashboard builder that assembles multiple time-series graphs into a single web view for consolidated monitoring. The platform distinguishes itself through its URL-driven metric retrieval system, which allows fetching rendered graph images or raw data by constructing HTTP r

LibreNMS is an SNMP network monitoring system and IT infrastructure management suite. It serves as an automated network discovery tool and infrastructure dashboard, enabling the identification and monitoring of network hardware and operating systems. The system differentiates itself through a rule-based alerting engine and a comprehensive IT incident workflow integration. It supports complex alert routing, including escalation sequences and direct ticket generation for project management and service desk platforms. Its observability capabilities cover multi-vendor hardware oversight, applica

HertzBeat is a real-time observability platform that provides agentless monitoring for servers, databases, and networks. It functions as an infrastructure alerting manager, an OpenTelemetry Protocol log aggregator, and a public status page generator. The platform integrates an analysis engine that uses large language models to process monitoring data and generate system insights. It utilizes a cloud-edge collaborative architecture and distributed collector clustering to scale data gathering across large-scale networks. The system covers a broad range of observability capabilities, including

This project is an OpenTelemetry reference implementation and distributed microservices environment used to demonstrate the collection and export of traces, metrics, and logs. It serves as a telemetry pipeline showcase and a polyglot instrumentation example, providing a sandbox for practicing distributed tracing and monitoring within a Kubernetes cluster. The system features a polyglot architecture to demonstrate consistent, vendor-neutral telemetry implementation across multiple programming languages. It includes a simulated environment for testing telemetry interoperability and troubleshoot

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

Riemann is a Clojure-based event stream processor and real-time analytics engine. It functions as a network telemetry pipeline and extensible event router that ingests, transforms, and routes event data from distributed systems. The system uses a domain-specific language to compute metrics and statistical patterns over continuous streams, enabling network trend analysis and real-time alerting. It supports dynamic plugin loading from the classpath and allows for live configuration reloading without interrupting active event streams. Capabilities include centralized telemetry aggregation, even

Zeebe is a cloud-native workflow engine and distributed state machine designed for business process orchestration using BPMN and DMN standards. It operates as a high-performance gRPC workflow runtime that executes complex business processes through a partitioned event-streaming architecture. The system also functions as an orchestrator for large language model agents, coordinating AI reasoning and tool use within deterministic business processes. The engine is distinguished by its peer-to-peer broker networking and a consensus-based data replication model that ensures high availability and fa

Casdoor is a centralized identity and access management platform that functions as an OAuth 2.0 authorization server. It provides a comprehensive suite of services for managing user identities, authentication sessions, and access policies across both web and machine-to-machine applications. Built with a decoupled frontend-backend architecture in Go, the platform supports high-concurrency environments and offers a web-based management interface for administrative tasks. The platform distinguishes itself through its extensive support for federated identity management, allowing integration with

Boto3 is the AWS SDK for Python, providing a programmatic interface for managing and automating AWS cloud infrastructure and services. It serves as a cloud management API client and resource manager for provisioning, configuring, and scaling virtual servers, databases, and storage. The library enables the implementation of infrastructure-as-code through declarative templates and scripts, allowing for the deployment of identical resource stacks across multiple accounts and geographic regions. It also provides a framework for coordinating distributed workflows, serverless functions, and contain