17 Best Open Source Dynatrace Alternatives
A curated collection of the 17 best open source and self-hosted alternatives to Dynatrace in 2026.
Looking for a free, privacy-friendly, or self-hosted replacement for Dynatrace in 2026? The top open-source alternative is Grafana — Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls..
Other highly rated open-source Dynatrace alternatives include NetData, Sentry and SigNoz.
Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.
Grafana unifies metrics, logs, traces, profiles, and business data into one OpenTelemetry-native platform with AI-assisted root cause analysis and adaptive cost controls.
Real-time infrastructure monitoring with AI troubleshooting
Netdata is a real-time infrastructure monitoring solution designed to transform how teams observe, troubleshoot, and optimize their systems. With per-second metrics collection, unsupervised machine learning for anomaly detection, and AI-driven troubleshooting capabilities, Netdata provides actionable insights to reduce downtime and improve system performance. - Per-second metrics collection for granular system visibility - Unsupervised ML anomaly detection with automatic alerting - AI Co-Engineer for intelligent troubleshooting and root cause analysis - Anomaly Advisor to identify and explain performance issues - Blast Radius Detection to pinpoint affected system components - Zero-configuration deployment with algorithmic dashboards - Distributed observability pipeline for scalable monitoring - Edge computing support for distributed environments - Tiered retention with infinite scalability - eBPF monitoring for deep system-level insights - OpenTelemetry integration for standardized observability - Real-time network monitoring with topology visualization - Custom dashboards without requiring query languages - Mobile apps for monitoring on-the-go - Enterprise access control and zero-code instrumentation Netdata is open-source and can be self-hosted on Linux systems. The platform supports both cloud-based and on-premises deployments, with options for Netdata Agents, Netdata Parents, and Netdata Cloud. The software is designed for extreme cardinality handling and real-time performance at scale, making it suitable for large-scale infrastructure monitoring.
Error tracking and performance monitoring for developers
Sentry is a comprehensive error tracking and application performance monitoring (APM) platform designed for developers and software teams. It provides real-time visibility into errors, crashes, and performance bottlenecks across web, mobile, and backend applications. - Error Monitoring: Real-time error tracking with detailed stack traces and context - Performance Monitoring: Application performance insights with tracing and profiling - Session Replay: Visualize user sessions to reproduce and debug issues - AI-Powered Debugging: Seer AI agent for automated issue resolution and code review - Metrics & Monitoring: Custom metrics and uptime monitoring for proactive issue detection - Multi-Platform Support: SDKs for web, mobile, game, and AI applications - Integrations: Native integrations with GitHub, Slack, and other development tools - OpenTelemetry Support: Compatibility with OpenTelemetry standards Sentry offers both cloud-hosted and self-hosted options. The self-hosted version can be deployed on-premises or in private cloud environments, with support for Docker and Kubernetes. The open-source core provides full functionality, while enterprise features are available in paid plans.
Open-source Datadog alternative for full-stack observability
SigNoz is a modern observability platform designed to simplify monitoring, logging, and tracing for applications and AI agents. Built on open standards like OpenTelemetry, it consolidates APM, logs, metrics, exceptions, and AI observability into a single tool. - Full-Stack Observability: Monitor traces, metrics, logs, and exceptions in one platform - OpenTelemetry Native: Built on OpenTelemetry standards for vendor-neutral instrumentation - AI Observability: Specialized tools for monitoring AI agents and applications - Real-Time Alerts: Configurable alerting for anomalies and critical events - Unified Dashboard: Single interface for all observability data - Usage-Based Pricing: Simple, predictable pricing model - Self-Hosting: Deploy on your own infrastructure with Self-Hosted SigNoz - Agent-Native: Optimized for monitoring AI agents and their workflows SigNoz offers both cloud-hosted and self-hosted options. The self-hosted version can be deployed using Docker, Kubernetes, or Helm charts. It supports various data sources and integrates seamlessly with existing monitoring setups. The platform is designed for scalability and can handle high-volume telemetry data from distributed systems.
Open source observability platform for AI era
OpenObserve is a high-performance, unified observability platform designed for the AI era. It delivers 140x lower storage costs while maintaining enterprise-grade reliability and scalability. - Unified Observability: Monitor logs, metrics, traces, and AI workloads in a single platform - Petabyte-Scale Scalability: Handle massive data volumes efficiently - 90% Cost Savings: Significantly reduce infrastructure and storage expenses - AI-Powered Features: Includes AI SRE and AI assistant capabilities - Kubernetes Monitoring: Native support for containerized environments - LLM Observability: Specialized monitoring for large language models - Visualization & Dashboards: Advanced data visualization tools - Incident Management: Built-in incident tracking and alerting - Open Source Core: Fully open source with AGPL-3.0 license - Self-Hosting: Deployable via Docker or Kubernetes OpenObserve can be self-hosted with a single command: bash docker run \ -p 5080:5080 \ -e ZOROOTUSEREMAIL="[email protected]" \ -e ZOROOTUSERPASSWORD="Complexpass#123" \ o2cr.ai/openobserve/openobserve:latest The platform supports both cloud and on-premises deployments, with enterprise-grade security and compliance features. It's trusted by over 9,000 companies including Fortune 500 giants and innovative startups.
Open source observability platform for logs, traces and errors
HyperDX is an open source observability platform designed to help engineering teams resolve production issues faster. It unifies session replays, logs, traces, metrics, and errors into a single interface, eliminating the need for multiple tools. - End-to-End Tracing: Automatically trace requests from browser to backend servers and async workers - Blazing Fast Search: Search terabytes of events in seconds using ClickHouse - Intuitive Search Syntax: Simple full-text search without complex syntax requirements - Automatic Pattern Clustering: Aggregate log patterns and condense billions of events into distinctive clusters - Correlated Session Replays: Link session replays with backend logs and traces automatically - Visualization Tools: Build and share intuitive charts for logs, metrics, and traces - Automatic Instrumentation: Trace logs, API requests, DB queries with minimal code - Alerts & Notifications: Get notified via Slack, Email, or PagerDuty when issues occur - Intercom Integration: Jump directly from Intercom to user sessions and logs - Live Tail: View and search log streams in real-time - Native JSON Parsing: Search and graph structured JSON logs without configuration - Vendor Agnostic: Powered by OpenTelemetry for no vendor lock-in - Agent-Free Install: No additional agents, sidecars, or containers required HyperDX is built on ClickHouse and OpenTelemetry, making it highly scalable and compatible with various deployment environments. The platform offers both cloud-hosted and self-hosted options, with automatic instrumentation supporting multiple languages including Node.js, Python, Java, Go, Elixir, and React Native. Deployment is supported on Kubernetes, AWS EC2, Vercel, Fly.io, Heroku, and Cloudflare.
Comprehensive monitoring solution offering error tracking, session replay, and performance insights for seamless debugging and optimization.
Comprehensive monitoring solution offering error tracking, session replay, and performance insights for seamless debugging and optimization.
eBPF-powered AI observability platform
Coroot is an eBPF-powered and AI-guided observability platform designed to provide full-stack visibility with minimal setup. It automatically collects metrics, logs, traces, and profiles across your entire infrastructure—from applications and databases to cloud and network layers—without requiring any code changes. - AI-Powered Root Cause Analysis: Instantly identifies and explains issues using complete telemetry data, acting like an experienced engineer to trace dependencies and suggest fixes. - Zero-Code Setup: Deploys with no instrumentation or configuration changes, leveraging eBPF for automatic data collection. - Full-Stack Visibility: Monitors applications, databases (PostgreSQL, MongoDB), Kubernetes, cloud services, and network components in a unified view. - Continuous Profiling: Captures performance profiles to identify bottlenecks and optimize resource usage. - Service Mapping: Visualizes service dependencies and interactions to simplify troubleshooting. - OpenTelemetry Integration: Supports OpenTelemetry standards for seamless data ingestion and compatibility. - Alerting & Insights: Converts raw telemetry into actionable alerts and recommendations. - Enterprise Edition: Offers advanced features for large-scale deployments, including enhanced security and scalability. Coroot is open-source and can be self-hosted using Docker or Kubernetes. The platform is designed for ease of deployment, with pre-built images and Helm charts available for quick setup. It supports integration with existing observability stacks and adheres to open standards like OpenTelemetry. For more details, visit the documentation or explore the GitHub repository.
Open-source observability & incident management
OneUptime is a comprehensive open-source platform designed to streamline reliability operations for modern infrastructure. Whether you're a DevOps engineer, Site Reliability Engineer (SRE), or platform team, OneUptime provides the tools needed to monitor systems, detect incidents, and resolve issues efficiently. - Unified Observability: Consolidate logs, metrics, traces, and exceptions in a single interface for comprehensive system visibility. - Incident Management: Detect outages in seconds, page the right engineer, and coordinate incident resolution with smart routing and escalations. - Status Page: Communicate incidents and maintenance windows to users with a customizable public status page. - AI-Powered Incident Investigation: Leverage AI to investigate incidents and generate fix pull requests for faster resolution. - Topology Mapping: Visualize service, infrastructure, and network dependencies to understand system relationships. - On-Call & Alerts: Configure smart alerting with escalation policies to ensure the right team members are notified promptly. - Scheduled Maintenance: Plan and communicate downtime proactively to minimize user impact. - Security Events: Monitor and respond to security incidents with SIEM signals and Sigma detections. - Multi-Environment Support: Monitor Kubernetes, Docker, cloud services, IoT devices, network devices, and more. - Self-Hosting & Enterprise: Deploy on your own infrastructure or opt for enterprise-grade solutions with dedicated support. OneUptime is 100% open-source and can be self-hosted on your own infrastructure. It supports deployment via Docker, Kubernetes, and other container orchestration platforms. The platform is designed for scalability and reliability, making it suitable for both small teams and large enterprises. Comprehensive documentation and community support are available to assist with deployment and configuration.
Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration.
Cloud-native observability database unifying metrics, logs, and traces with sub-second queries, 50x cost reduction, and seamless OpenTelemetry integration.
AI observability platform for LLMs and apps
Pydantic Logfire is a production-grade observability platform designed specifically for AI applications, agents, APIs, and databases. Built on OpenTelemetry, it provides comprehensive monitoring across your entire stack, not just LLM calls. - Whole-App Tracing: Trace model calls, agent steps, API requests, and database queries in a single timeline - Multi-Language Support: SDKs for Python, JavaScript/TypeScript, and Rust with OpenTelemetry compatibility for other languages - Evals & Scoring: Built-in evaluation framework that runs alongside your application logic - Cost Tracking: Monitor and optimize AI application costs in real-time - PII Scrubbing: Automatic sensitive data redaction in SDKs - Postgres-Flavored SQL: Query spans directly using familiar SQL syntax - Live Debugging: Real-time monitoring of production services with error rates, latency, and traces - Self-Hosting Option: Deployable on your own infrastructure - OpenTelemetry Foundation: Built on industry-standard observability protocols - Self-Hosted Deployment: Available for on-premises or private cloud deployments - Compliance: SOC 2 Type II, HIPAA, and EU data residency compliant - Integration: Seamless integration with existing monitoring and logging systems
OpenTelemetry-native observability platform
Uptrace is an OpenTelemetry-native observability platform that unifies traces, metrics, and logs in a single platform. Built on OpenTelemetry and ClickHouse, it processes billions of spans at a fraction of the cost of traditional observability tools like Datadog or New Relic. - All-in-one observability: Unified platform for traces, metrics, and logs with no need to stitch data together manually. - OpenTelemetry-native: Ingest data from OpenTelemetry, Prometheus, Vector, FluentBit, CloudWatch, and more. - Cost-effective pricing: Pay per GB ingested and active timeseries with no per-seat fees or hidden charges. - Self-hosting: Download from GitHub and own your data completely with no feature limits. - APM & Infrastructure Monitoring: Service graphs, RED metrics, latency percentiles, and top errors with infrastructure monitoring capabilities. - Alerting & MCP: Built-in alerting and MCP (Model Context Protocol) support for AI-driven observability. - Predictable pricing: Set monthly caps to avoid billing surprises and budget effectively. - Compliance-ready: Offers on-premise installations for organizations with strict compliance requirements. Uptrace is built on OpenTelemetry and ClickHouse, offering both cloud and self-hosted options. The self-hosted version is available as a free download from GitHub, allowing users to deploy on their own infrastructure. Uptrace Cloud provides a fully managed experience with enterprise-grade support and compliance options. The platform is designed to scale from small applications to enterprise-level deployments, handling high-volume data ingestion efficiently.
Unified IT observability for hybrid and cloud environments
Checkmk is a unified IT observability platform designed to monitor hybrid and cloud-native environments. It provides full-stack visibility across servers, networks, containers, applications, and more, bridging the gap between legacy systems and modern infrastructure. Trusted by industry leaders, Checkmk delivers scalable, secure, and high-performance monitoring solutions. - Unified Monitoring: Full-stack observability for hybrid and cloud-native IT environments - Multi-Platform Support: Monitor servers, networks, databases, cloud services, Kubernetes, storage, IoT, and SNMP devices - Scalable Architecture: Designed for high performance and enterprise-grade scalability - Multiple Editions: Available as SaaS (Checkmk Cloud), self-hosted (Ultimate, Pro, Community), and virtual/physical appliances - Extensive Integrations: 2,000+ integrations with third-party systems and applications - Automated Discovery: Intelligent service and host discovery with minimal configuration - Alerting & Notifications: Advanced alert management with escalation policies and integrations - Reporting & Dashboards: Customizable dashboards and comprehensive reporting capabilities - Enterprise Support: Professional services, training, and 24/7 support options Checkmk offers multiple deployment options: - SaaS: Checkmk Cloud for fully managed monitoring - Self-Hosted: Checkmk Ultimate, Pro, and Community editions - Appliances: Virtual or physical appliance options for simplified deployment - Open Source: Checkmk Community edition available under GPL license The platform supports Linux-based environments and provides comprehensive documentation for self-hosting configurations. Enterprise features include advanced security, compliance tools, and dedicated support. Explore Editions | Download | Documentation
Open-source observability for traces, logs & metrics
Maple is an open-source observability platform designed for modern applications. Built on OpenTelemetry and powered by ClickHouse, it enables teams to collect, visualize, and analyze distributed traces, logs, and metrics with sub-second query performance. - Unified Observability: Collect and correlate traces, logs, and metrics from all services in one platform - AI-Powered Diagnostics: Leverage AI agents to automatically analyze incidents and propose fixes - Real-Time Incident Response: Follow requests end-to-end with complete context and correlated data - Service Catalog & Maps: Visualize live request flows and service dependencies - Error Tracking: Group errors by type with trends, affected services, and sample traces - Metrics & Dashboards: Customizable dashboards for request rate, error rate, and latency percentiles - Alerting with Context: Receive alerts with attached traces, logs, and relevant context - MCP Server Integration: First-class MCP support for AI agents to interact with your observability data Maple is open-source and can be self-hosted. The platform is built on OpenTelemetry standards and uses ClickHouse for high-performance data storage and querying. Local deployment is available as a single binary for easy setup and management.
Open-source infrastructure monitoring solution
Icinga is a robust open-source monitoring solution designed for comprehensive infrastructure oversight. It provides real-time monitoring of servers, networks, and applications with a flexible configuration language and REST API for seamless integration. - Real-time monitoring of servers, networks, and applications - Powerful configuration language for custom monitoring setups - REST API for easy integration and automation - Scalable architecture suitable for small to large environments - Extensive plugin ecosystem for extended functionality - Distributed monitoring capabilities - Web-based dashboard for visualization and management - Alerting and notification system with customizable thresholds Icinga is open-source software that can be self-hosted on Linux systems. It supports various deployment options including bare-metal installations, virtual machines, and containerized setups. The project provides comprehensive documentation for installation and configuration. Icinga Documentation
Unified platform for logs, metrics, traces and profiles with native compatibility for popular tools like OpenTelemetry, Prometheus, and Loki. No data silos, no usage limits.
Unified platform for logs, metrics, traces and profiles with native compatibility for popular tools like OpenTelemetry, Prometheus, and Loki. No data silos, no usage limits.
Open-source transactional email platform
Plunk is an open-source, self-hostable email platform designed for transactional emails, marketing campaigns, and automated workflows. Built with privacy in mind, it offers transparent pricing, no contact limits, and full control over your email infrastructure. - Transactional & Marketing Emails: Send both transactional emails and marketing campaigns from a single platform. - Automated Workflows: Trigger workflows based on events sent from your code, with a visual canvas for full transparency. - Inbound Email Handling: Receive emails at your domain by adding an MX record, turning replies into contacts and triggering workflows. - Unlimited Contacts: Store unlimited contacts for free; pay only per email sent ($0.001 per email). - Self-Hosting & Open Source: Fully inspectable, forkable, and self-hostable under AGPL-3.0 license. - MCP Server Integration: Connect AI agents (Claude, Cursor) to manage emails via the Model Context Protocol. - Email Editor & SMTP: Visual editor for emails or direct HTML editing, plus SMTP support for existing clients. - Analytics & Segments: Track delivery, opens, clicks, and bounces per send, with dynamic segments that update in real-time. - License: AGPL-3.0 - Hosting: EU-based cloud or self-hosted via Docker Compose - GitHub Stars: 5,000+ - Setup Time: Under 5 minutes for domain configuration and first send - Exit Strategy: Full control via Docker Compose for seamless migration away from the cloud service.
About Dynatrace
Dynatrace
Turn data into decisions and autonomous actions that drive your business forward with the AI-powered observability leader. Dynatrace provides end-to-end observability, AI-driven automation, and application security in a single platform, enabling teams to innovate faster, operate more efficiently, and deliver better software.
Key Features of Dynatrace
- AI Observability: Best-in-class observability for Generative AI applications, LLMs, and agents with real-time insights and anomaly detection.
- Application Observability: APM, distributed tracing, and profiling for cloud-native and enterprise stacks.
- Application Security: Real-time discovery, prioritization, and protection against known and unknown vulnerabilities.
- Business Observability: Customizable analytics for making better business decisions in real-time.
- Digital Experience Monitoring: Real-user and synthetic monitoring with session replays for flawless digital experiences.
- Infrastructure Observability: End-to-end visibility across modern multi-cloud environments.
- Log Analytics: Intelligent log data analysis for troubleshooting and business process optimization.
- Software Delivery: Intelligent cloud ecosystem automations with observability and security insights.
- Threat Observability: Advanced threat protection, automated response, and forensic analysis.
- Dynatrace Intelligence: Deterministic AI for predictions, anomaly detection, and causal root cause analysis.
- Grail® Data Lakehouse: Industry-leading data lakehouse for unified and contextual data analysis.
- Agentic Operations: Built-in and third-party agents to empower teams to resolve issues faster and reduce security risks.
Tech / Self-Hosting
Dynatrace is a cloud-based SaaS platform with no self-hosting option. It integrates seamlessly with major cloud providers (AWS, Azure, Google Cloud, Alibaba Cloud, Oracle) and technologies like Kubernetes, OpenTelemetry, Prometheus, and Docker. The platform is designed for modern cloud-native and enterprise environments, offering flexible, scalable subscription models.
Pricing: Flexible, scalable subscription-based pricing with pay-as-you-go options.