Find Open-Source Alternatives
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Discover powerful open-source replacements for popular commercial software. Save on costs, gain transparency, and join a community of developers.
Compare community-driven replacements for Dynatrace in observability suites workflows. We curate active, self-hostable options with transparent licensing so you can evaluate the right fit quickly.
Run on infrastructure you control
Recent commits in the last 6 months
MIT, Apache, and similar licenses
Counts reflect projects currently indexed as alternatives to Dynatrace.
These projects match the most common migration paths for teams replacing Dynatrace.
Why teams pick it
Flexible deployment: hosted cloud, hobby Docker setup, or enterprise self-hosted
Why teams pick it
Keep customer data in-house with privacy-focused tooling.
Open-source fullstack monitoring with session replay and error tracking
Why teams choose it
Watch for
Hobby self-hosted deployment limited to 10k sessions and 50k errors monthly
Migration highlight
Debugging User-Reported Bugs
Replay exact user sessions showing interactions, network calls, and console logs leading to errors, eliminating guesswork in reproduction.
Instant distributed tracing for any app without code changes
Petabyte‑scale observability platform, 10x easier, 140x cheaper
Instant, code‑free observability for Kubernetes applications and clusters
Programmable observability platform built for developers
Why teams choose it
eBPF-based networking, observability, and security for Kubernetes
Real-time agentless observability with custom monitoring and alerting
Unified observability database for metrics, logs, and traces
Unified tracing, metrics, and logs platform for modern applications
Instant, per‑second visibility into every infrastructure component.
Open-source LLM observability and developer platform for AI applications
Full‑stack observability for LLM applications via OpenTelemetry
eBPF-powered observability platform with automated root cause analysis
Unified observability: logs, metrics, and traces in one UI
All-in-one observability platform for uptime, incidents, and performance.
ClickHouse-native observability platform unifying logs, traces, and replays
Cloud-native APM for distributed tracing and observability
Simple Python‑centric observability platform for faster development
Teams replacing Dynatrace in observability suites workflows typically weigh self-hosting needs, integration coverage, and licensing obligations.
Tip: shortlist one hosted and one self-hosted option so stakeholders can compare trade-offs before migrating away from Dynatrace.
Why teams choose it
Watch for
Limited to environments where eBPF is supported (Linux kernel)
Migration highlight
Add tracing to a multi‑service Java microservice suite
Instant visibility into request flows across services without modifying any source code.
Why teams choose it
Watch for
Enterprise‑only features like SSO and advanced RBAC require a paid plan
Migration highlight
Kubernetes log aggregation
Reduce storage cost up to 140× while retaining fast query performance
Why teams choose it
Watch for
Requires Kubernetes with eBPF‑compatible kernel
Migration highlight
Network Monitoring
Visualize intra‑cluster traffic flows, DNS queries, TCP drops, and retransmissions in real time.
Watch for
Core observability features still in development (pre-V1.0)
Migration highlight
Custom APM Dashboard
Build tailored application performance monitoring with OpenTelemetry traces, custom metrics aggregation via WebAssembly plugins, and interactive drill-down workflows.
Why teams choose it
Watch for
Requires modern Linux kernel with eBPF support, limiting compatibility with older systems
Migration highlight
Kubernetes CNI with kube-proxy Replacement
Achieve scalable, low-latency service networking using socket-level load balancing and efficient eBPF hash tables instead of traditional per-packet NAT.
Why teams choose it
Watch for
Requires Java 17 runtime, which may necessitate infrastructure updates
Migration highlight
Multi-Cloud Infrastructure Monitoring
Monitor Kubernetes clusters, databases, and middleware across AWS, Azure, and on-premises without deploying agents, using collector clusters for isolated network segments.
Why teams choose it
Watch for
Currently in beta status with GA planned for mid-2025
Migration highlight
Unified Observability Platform
Replace separate Prometheus, Elasticsearch, and tracing backends with one database, reducing operational complexity and infrastructure costs
Why teams choose it
Watch for
Requires both ClickHouse and PostgreSQL to be provisioned
Migration highlight
Microservice latency troubleshooting
Correlate traces, metrics, and logs to pinpoint slow endpoints and reduce response times.
Why teams choose it
Watch for
High‑frequency data can increase storage requirements if long‑term retention is needed
Migration highlight
Production outage investigation
Engineers pinpoint the exact second a resource spike occurred, reducing mean time to resolution.
Why teams choose it
Watch for
Self-hosting requires managing five separate services (Web, Worker, Jawn, Supabase, ClickHouse, MinIO)
Migration highlight
Multi-Agent System Debugging
Trace complex agent interactions across sessions to identify bottlenecks, track costs per agent, and optimize prompt chains using production data in the playground.
Why teams choose it
Watch for
Instrumentation limited to providers listed in documentation
Migration highlight
Debug LLM prompt failures
Trace each prompt, response, and token usage across providers, pinpointing latency spikes or error patterns.
Why teams choose it
Watch for
eBPF-based instrumentation requires Linux kernel 4.14+ and specific permissions
Migration highlight
Troubleshooting Microservice Latency Spikes
Engineers click on anomalous requests to view distributed traces, identify slow dependencies, and profile CPU usage down to specific code lines—all from a single interface.
Why teams choose it
Watch for
Self‑hosting requires Docker/Kubernetes expertise
Migration highlight
Root‑cause analysis of latency spikes
Correlate p99 latency metrics with trace flamegraphs and log entries to pinpoint bottlenecks.
Why teams choose it
Watch for
Self‑hosting requires Kubernetes expertise
Migration highlight
Website uptime monitoring
Detect downtime across global locations and receive instant alerts via Slack, reducing mean time to detection.
Why teams choose it
Watch for
Requires ClickHouse expertise for production tuning and optimization
Migration highlight
Correlating Frontend Errors with Backend Traces
Engineers replay user sessions to see JavaScript errors, then jump directly to related API traces and logs to identify the root cause in minutes instead of hours.
Why teams choose it
Watch for
Steeper learning curve compared to simpler APM solutions
Migration highlight
Microservices Performance Troubleshooting
Trace requests across 50+ services to identify latency bottlenecks and optimize critical user journeys in production.
Why teams choose it
Watch for
Dashboard UI is closed source; self‑hosting requires an enterprise license
Migration highlight
Debugging FastAPI request handling
View request payloads, validation errors, and database query timings in a unified dashboard.